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Professor Klaus Moessner

Graduate School Director, Professorial Research Fellow

Qualifications: Dipl-Ing (FH), MSc, PhD, MIEEE

Email:
Phone: Work: 01483 68 3468
Room no: 12 BA 02

Further information

Publications

Highlights

  • Vural S, Wei D, Moessner K. (2012) 'Survey of Experimental Evaluation Studies for Wireless Mesh Network Deployments in Urban Areas Towards Ubiquitous Internet'. IEEE IEEE Communications Surveys and Tutorials, PP (99), pp. 1-17.
    doi: 10.1109/SURV.2012.021312.00018
    Full text is available at: http://epubs.surrey.ac.uk/725238/

    Abstract

    Establishing wireless networks in urban areas that can provide ubiquitous Internet access to end-users is a central part of the efforts towards defining the Internet of the future. In recent years, Wireless Mesh Network (WMN) backbone infrastructures are proposed as a cost effective technology to provide city-wide Internet access. Studies that evaluate the performance of city-wide mesh network deployments via experiments provide essential information on various challenges of building them. In this survey, we particularly focus on such studies and provide brief conclusions on the problems, benefits, and future research directions of city-wide WMNs.

  • Wei D, Jin Y, Vural S, Moessner K, Tafazolli R. (2012) 'An Energy-efficient Clustering Solution for Wireless Sensor Networks'. IEEE IEEE Transactions on Wireless Communications, United Kingdom: PP (99), pp. 1-11.
    doi: 10.1109/TWC.2011.092011.110717
    Full text is available at: http://epubs.surrey.ac.uk/123373/

    Abstract

    Hot spots in a wireless sensor network emerge as locations under heavy traffic load. Nodes in such areas quickly deplete energy resources, leading to disruption in network services. This problem is common for data collection scenarios in which Cluster Heads (CH) have a heavy burden of gathering and relaying information. The relay load on CHs especially intensifies as the distance to the sink decreases. To balance the traffic load and the energy consumption in the network, the CH role should be rotated among all nodes and the cluster sizes should be carefully determined at different parts of the network. This paper proposes a distributed clustering algorithm, Energy-efficient Clustering (EC), that determines suitable cluster sizes depending on the hop distance to the data sink, while achieving approximate equalization of node lifetimes and reduced energy consumption levels. We additionally propose a simple energy-efficient multihop data collection protocol to evaluate the effectiveness of EC and calculate the end-to-end energy consumption of this protocol; yet EC is suitable for any data collection protocol that focuses on energy conservation. Performance results demonstrate that EC extends network lifetime and achieves energy equalization more effectively than two well-known clustering algorithms, HEED and UCR.

  • Moessner K, Georgoulas S. (2011) 'Towards Efficient Protocol Design through Protocol Profiling and Performance Assessment: Using Formal Verification in a Different Context'. Wiley International Journal of Communication Systems,
    doi: 10.1002/dac.1317
  • Moessner K, Harada H, Sun C, Alemseged Y, Tran H, Noguet D, Sawai R, Sato N. (2011) 'Spectrum sensing for cognitive radio systems: Technical aspects and standardization activities of the IEEE P1900.6 working group'. IEEE Wireless Communications, 18 (1), pp. 30-37.
    doi: 10.1109/MWC.2011.5714023
  • Jin Y, Jin J, Gluhak A, Moessner K, Palaniswami M. (2011) 'An Intelligent Task Allocation Scheme for Multi-hop Wireless Networks'. IEEE Computer Society IEEE Transactions on Parallel and Distributed Systems, 23 (3), pp. 444-451.
    doi: 10.1109/TPDS.2011.172
  • Kernchen R, Meissner S, Moessner K, Cesar P, Vaishnavi I, Boussard M, Hesselman C. (2010) 'Intelligent Multimedia Presentation in Ubiquitous Multidevice Scenarios'. IEEE COMPUTER SOC IEEE MULTIMEDIA, 17 (2), pp. 52-62.
    doi: 10.1109/MMUL.2009.75
  • Arshad K, Imran MA, Moessener K. (2010) 'Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks'. Hindawi Publishing Corporation International Journal of Digital Multimedia Broadcasting, 2010 Article number Article ID 424036
    doi: 10.1155/2010/424036
    Full text is available at: http://epubs.surrey.ac.uk/125629/

    Abstract

    The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio. However, due to the channel uncertainties, local observations are not reliable and collaboration among users is required. Selection of fusion rule at a common receiver has a direct impact on the overall spectrum sensing performance. In this paper, optimisation of collaborative spectrum sensing in terms of optimum decision fusion is studied for hard and soft decision combining. It is concluded that for optimum fusion, the fusion centre must incorporate signal-to-noise ratio values of cognitive users and the channel conditions. A genetic algorithm-based weighted optimisation strategy is presented for the case of soft decision combining. Numerical results show that the proposed optimised collaborative spectrum sensing schemes give better spectrum sensing performance.

  • Prammanee S, Moessner K. (2008) 'Mobile Multimodality: A Theoretical Approach to Facilitate Virtual Device Environments'. SPRINGER MOBILE NETWORKS & APPLICATIONS, 13 (6), pp. 569-582.
    doi: 10.1007/s11036-008-0091-z
  • Rodriguez V, Moessner K, Tafazolli R. (2006) 'Market driven dynamic spectrum allocation over space and time among radio-access networks: DVB-T and B3G CDMA with heterogeneous terminals'. SPRINGER MOBILE NETWORKS & APPLICATIONS, 11 (6), pp. 847-860.
    doi: 10.1007/s11036-006-0053-2

Journal articles

  • Francois F, Wang N, Moessner K, Georgoulas S. (2012) 'Optimizing Link Sleeping Reconfigurations in ISP Networks with Off-Peak Time Failure Protection'. IEEE IEEE Transactions on Network and Service Management,
    doi: 10.1109/TNSM.2012.092412.120295
  • Yu X, Navaratnam P, Moessner K. (2012) 'Resource reservation schemes for IEEE 802.11e based wireless networks'. IEEE Communications Surveys and Tutorials,
    [ Status: Accepted ]
    Full text is available at: http://epubs.surrey.ac.uk/725236/
  • Yu X, Navaratnam P, Moessner K. (2012) 'Distributed Admission Control with Soft Resource Allocation for Hybrid MAC in P2P Wireless Networks'. IEEE Transactions on Vehicular Technology,
    [ Status: Submitted ]
  • AlShahwan F, Carrez F, Moessner K. (2012) 'Providing and evaluating the mobile Web service distribution mechanisms using fuzzy logic'. Academy Publisher Journal of Software, 7 (7), pp. 1473-1487.
    doi: 10.4304/jsw.7.7.1473-1487
    Full text is available at: http://epubs.surrey.ac.uk/728975/

    Abstract

    providing adaptive resource intensive Web services from mobile hosts needs to be done in a rather light-weight manner to allow continuous service provisioning. Processing and communication will drain the battery rapidly; hence both should be kept at a minimum. This paper describes the outcomes of an investigation into offloading and migration mechanisms that facilitate provision of adaptive and distributed mobile Web services. The investigation goes through three phases. The first phase integrates these mechanisms with the Simple Object Access Protocol (SOAP) and Representational State Transfer (REST) architectures producing extended mobile Web service frameworks. This phase is achieved by the implementation of a prototype that allows performance evaluation of both extended frameworks. The evaluation of the load and performance of the distributed services is taking place using resource intensive applications. The results presented show that basing distributed mobilehosted services on REST is more suitable than using SOAP as underlying Web service infrastructure. The second phase relies on the outperforming REST-based framework to examine four distinct strategies for mobile Web service distribution mechanisms. In the last phase, evaluation results of the second phase are interpreted as Fuzzy Logic rules. These rule sets are used to trigger and control offloading schemes. © 2012 ACADEMY PUBLISHER.

  • Xiao P, Tafazolli R, Moessner K, Gluhak A. (2012) 'Codebook Based Single-User MIMO System Design with Widely Linear Processing'. IEEE Transactions on Communications,
    doi: 10.1109/TCOMM.2012.060112.110155
    Full text is available at: http://epubs.surrey.ac.uk/711385/

    Abstract

    This work addresses joint transceiver optimization for multiple-input, multiple-output (MIMO) systems. In practical systems the complete knowledge of channel state information (CSI) is hardly available at transmitter. To tackle this problem, we resort to the codebook approach to precoding design, where the receiver selects a precoding matrix from a finite set of pre-defined precoding matrices based on the instantaneous channel condition and delivers the index of the chosen precoding matrix to the transmitter via a bandwidth-constraint feedback channel. We show that, when the symbol constellation is improper, the joint codebook based precoding and equalization can be designed accordingly to achieve improved performance compared to the conventional system.

  • Yu X, Navaratnam P, Moessner K. (2012) 'Performance analysis of distributed resource reservation in IEEE 802.11e-based wireless networks'. IET Communications, 6 (11), pp. 1447-1455.
    doi: 10.1049/iet-com.2011.0464
    Full text is available at: http://epubs.surrey.ac.uk/725237/

    Abstract

    Guaranteeing quality of service (QoS) is one of the most critical challenges in IEEE 802.11-based wireless networks. This study proposes an analytical framework to evaluate hybrid medium access control (MAC) scheduling mechanisms with distributed resource reservation (RR), that was proposed for the IEEE 802.11e-enhanced distributed channel access protocol for guaranteeing QoS. The hybrid MAC scheduling mechanisms split the airtime into service intervals with contention-free period for QoS guaranteed real-time sessions (RTSNs), and contention access period for other traffic sessions. The distributed RR ensures that the resources are allocated to RTSNs without the support of a centralised controller-this makes it suitable for ad hoc networking applications. The proposed analytical framework models the QoS (i.e. delay and throughput) performance of RTSNs with dedicated resources in a distributed environment, and also estimates the overall capacity of the network. Moreover, the derived models can be used to investigate the impact of changes to individual system parameters, such as service interval or size of transmission opportunity. The simulation results show that the proposed analytical framework precisely models the QoS performance of RTSNs and predicts the optimum resource allocation for improved network capacity. © 2012 The Institution of Engineering and Technology.

  • Bantouna, A , Stavroulaki V, Kritikou Y, Tsagkaris K, Demestichas P, Moessner K. (2012) 'An overview of learning mechanisms for cognitive systems'. Springer EURASIP Journal on Wireless Communications and Networking 2012, 2012 (22)
    doi: 10.1186/1687-1499-2012-22
    Full text is available at: http://epubs.surrey.ac.uk/533568/

    Abstract

    Cognitive systems were first introduced by Mitola and in the last decade they have proved to be beneficial in self-management functionalities of future generation networks. The advantages and the way that networks gain benefits from cognitive systems is analysed in this article. Moreover, since such systems are closely related to machine learning, the focus of this article is also placed on machine learning techniques applied both in the network and the user devices side. In particular, celebrating 10 years of cognitive systems, this survey-oriented article presents an extended state-of-the-art of machine learning applied to cognitive systems as coming from the recent research and an overview of three different learning capabilities of both the network and the user device.

  • Zahir T, Arshad K, Nakata A, Moessner K. (2012) 'Interference Management in Femtocells'. IEEE Communications Surveys and Tutorials,
    doi: 10.1109/SURV.2012.020212.00101
  • Vural S, Wei D, Moessner K. (2012) 'Survey of Experimental Evaluation Studies for Wireless Mesh Network Deployments in Urban Areas Towards Ubiquitous Internet'. IEEE IEEE Communications Surveys and Tutorials, PP (99), pp. 1-17.
    doi: 10.1109/SURV.2012.021312.00018
    Full text is available at: http://epubs.surrey.ac.uk/725238/

    Abstract

    Establishing wireless networks in urban areas that can provide ubiquitous Internet access to end-users is a central part of the efforts towards defining the Internet of the future. In recent years, Wireless Mesh Network (WMN) backbone infrastructures are proposed as a cost effective technology to provide city-wide Internet access. Studies that evaluate the performance of city-wide mesh network deployments via experiments provide essential information on various challenges of building them. In this survey, we particularly focus on such studies and provide brief conclusions on the problems, benefits, and future research directions of city-wide WMNs.

  • Georgoulas S, Moessner K, Mansour A, Pissarides M, Spapis P. (2012) 'A fuzzy reinforcement learning approach for pre-congestion notification based admission control'. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7279 LNCS, pp. 26-37.
    doi: 10.1007/978-3-642-30633-4_4
    Full text is available at: http://epubs.surrey.ac.uk/725538/

    Abstract

    Admission control aims to compensate for the inability of slow-changing network configurations to react rapidly enough to load fluctuations. Even though many admission control approaches exist, most of them suffer from the fact that they are based on some very rigid assumptions about the per-flow and aggregate underlying traffic models, requiring manual reconfiguration of their parameters in a "trial and error" fashion when these original assumptions stop being valid. In this paper we present a fuzzy reinforcement learning admission control approach based on the increasingly popular Pre-Congestion Notification framework that requires no a priori knowledge about traffic flow characteristics, traffic models and flow dynamics. By means of simulations we show that the scheme can perform well under a variety of traffic and load conditions and adapt its behavior accordingly without requiring any overly complicated operations and with no need for manual and frequent reconfigurations. © 2012 IFIP International Federation for Information Processing.

  • Stavroulaki V, Tsagkaris K, Demestichas P, Bantouna A, Kritikou Y, Demestichas P, Blasco P, Bader F, Dohler M, Denkovski D, Atanasovski V, Gavrilovska L, Moessner K. (2012) 'Knowledge management toolbox: Machine learning for cognitive radio networks'. IEEE Vehicular Technology Magazine, 7 (2), pp. 91-99.
    doi: 10.1109/MVT.2012.2190196
    Full text is available at: http://epubs.surrey.ac.uk/725537/

    Abstract

    Learning mechanisms are essential for the attainment of experience and knowledge in cognitive radio (CR) systems, exposed to high dynamics with often unpredictable states [1]. These mechanisms can be associated with user and device profiles, context, and decisions. The focus learning user preferences is the dynamic inference and estimation of current and future user preferences. The acquisition and learning of context information encompasses mechanisms for the system to perceive its current status and conditions in its present environment, as well as estimating (and forecasting) the capabilities of available network configurations. Finally, learning related to decisions addresses the building of knowledge with respect to the efficiency of solutions that can be applied to specific situations encountered. Based on knowledge obtained through learning, decision-making mechanisms can become faster, since the CR system can learn and immediately apply solutions that have been identified as being efficient in the past. Moreover, knowledge obtained through learning mechanisms may be shared among nodes of a system. Thus, more reliable and more optimal decisions can be made by exploiting knowledge obtained through learning mechanisms. © 2005-2012 IEEE.

  • Tandur D, Duplicy J, Arshad K, Depierre D, Moessner K, Lehtomaki J, Briggs K, Goncalves L, Gameiro A. (2012) 'COGNITIVE RADIO SYSTEMS EVALUATION Measurement, Modeling, and Emulation Approach'. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC IEEE VEHICULAR TECHNOLOGY MAGAZINE, 7 (2), pp. 77-84.
    doi: 10.1109/MVT.2012.2190219
    Full text is available at: http://epubs.surrey.ac.uk/725239/
  • Wei D, Jin Y, Vural S, Moessner K, Tafazolli R. (2012) 'An Energy-efficient Clustering Solution for Wireless Sensor Networks'. IEEE IEEE Transactions on Wireless Communications, United Kingdom: PP (99), pp. 1-11.
    doi: 10.1109/TWC.2011.092011.110717
    Full text is available at: http://epubs.surrey.ac.uk/123373/

    Abstract

    Hot spots in a wireless sensor network emerge as locations under heavy traffic load. Nodes in such areas quickly deplete energy resources, leading to disruption in network services. This problem is common for data collection scenarios in which Cluster Heads (CH) have a heavy burden of gathering and relaying information. The relay load on CHs especially intensifies as the distance to the sink decreases. To balance the traffic load and the energy consumption in the network, the CH role should be rotated among all nodes and the cluster sizes should be carefully determined at different parts of the network. This paper proposes a distributed clustering algorithm, Energy-efficient Clustering (EC), that determines suitable cluster sizes depending on the hop distance to the data sink, while achieving approximate equalization of node lifetimes and reduced energy consumption levels. We additionally propose a simple energy-efficient multihop data collection protocol to evaluate the effectiveness of EC and calculate the end-to-end energy consumption of this protocol; yet EC is suitable for any data collection protocol that focuses on energy conservation. Performance results demonstrate that EC extends network lifetime and achieves energy equalization more effectively than two well-known clustering algorithms, HEED and UCR.

  • Arshad K, Rostami S, Moessner K. (2012) 'Order-statistic based spectrum sensing for cognitive radio'. IEEE Communications Letters, 16 (5), pp. 592-595.
    doi: 10.1109/LCOMM.2012.030512.111887
    Full text is available at: http://epubs.surrey.ac.uk/725240/

    Abstract

    Spectrum sensing for cognitive radio is challenging. In this letter, a spectrum sensing method based on quintiles of Order-Statistics is proposed. We derive the test statistic and evaluate the performance of the proposed method by Monte Carlo simulations. Simulation results show that order statistics based sensing considerably outperforms both energy detection and anderson darling based sensing in an Additive White Gaussian Noise (AWGN) channel; especially in a lower signal to noise ratio region. © 2012 IEEE.

  • Arshad K, Moessner K. (2012) 'Robust Collaborative Spectrum Sensing in the Presence of Deleterious Users'. IET IET Communications,
    [ Status: Accepted ]
  • Murroni M, Venkatesha Prasad R, Marques P, Bochow B, Noguet D, Sun C, Harada H, Moessner K. (2011) 'IEEE 1900.6: Spectrum Sensing Interfaces and Data Structures for Dynamic Spectrum Access and Other Advanced Radio Communication Systems Standard: Technical Aspects and Future Outlook'. IEEE IEEE Communications Magazine, 49 (12), pp. 118-127.
    doi: 10.1109/MCOM.2011.6094015
  • Alnwaimi G, Arshad K, Moessner K. (2011) 'Dynamic Spectrum Allocation Algorithm with Interference Management in Co-Existing Networks'. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC IEEE COMMUNICATIONS LETTERS, 15 (9), pp. 932-934.
    doi: 10.1109/LCOMM.2011.062911.110248
  • Moessner K, Georgoulas S. (2011) 'Towards Efficient Protocol Design through Protocol Profiling and Performance Assessment: Using Formal Verification in a Different Context'. Wiley International Journal of Communication Systems,
    doi: 10.1002/dac.1317
  • Jin Y, Jin J, Gluhak A, Moessner K, Palaniswami M. (2011) 'An Intelligent Task Allocation Scheme for Multi-hop Wireless Networks'. IEEE Computer Society IEEE Transactions on Parallel and Distributed Systems, 23 (3), pp. 444-451.
    doi: 10.1109/TPDS.2011.172
  • Moessner K, Harada H, Sun C, Alemseged Y, Tran H, Noguet D, Sawai R, Sato N. (2011) 'Spectrum sensing for cognitive radio systems: Technical aspects and standardization activities of the IEEE P1900.6 working group'. IEEE Wireless Communications, 18 (1), pp. 30-37.
    doi: 10.1109/MWC.2011.5714023
  • Durowoju O, Arshad K, Moessner K. (2011) 'Distributed power control algorithm for cognitive radios with primary protection via spectrum sensing under user mobility'. Elsevier Ad Hoc Networks, 10 (5), pp. 740-751.
    doi: 10.1016/j.adhoc.2011.02.005
  • AlShahwan F, Moessner K, Carrez F. (2010) 'Evaluation of Distributed SOAP and RESTful MobileWeb Services'. IARIA International Journal on Advances in Networks and Services, 3 (3 & 4), pp. 447-461.
    Full text is available at: http://epubs.surrey.ac.uk/125638/

    Abstract

    Even mobile Web Services are still provided using servers that usually reside in the core networks. Main reason for not providing large and complex Web Services from resource limited mobile devices is not only the volatility of wireless connections and mobility of mobile hosts, but also, the often limited processing power. Offloading of some of the processing tasks is one step towards achieving optimal mobile Web Service provision. This paper presents two frameworks for providing distributed mobile Web Services: One mobile service provision framework is built on Simple Object Access Protocol (SOAP), while the other implements Representational State Transfer (REST) architecture. Both frameworks have been extended with offloading functionality and different types of resource intensive operations, i.e., process intensive and bandwidth intensive services, have been tested. The results show that using a REST-based framework leads of a better performing offloading behaviour, compared to SOAP-based mobile services. Distributed mobile services based on REST consume fewer resources and achieve better performance compared to SOAP based mobile services. The paper describes the approach, evaluation method and findings.

  • Kernchen R, Meissner S, Moessner K, Cesar P, Vaishnavi I, Boussard M, Hesselman C. (2010) 'Intelligent Multimedia Presentation in Ubiquitous Multidevice Scenarios'. IEEE COMPUTER SOC IEEE MULTIMEDIA, 17 (2), pp. 52-62.
    doi: 10.1109/MMUL.2009.75
  • Chantaraskul S, Moessner K. (2010) 'Implementation of a genetic algorithm-based decision making framework for opportunistic radio'. INST ENGINEERING TECHNOLOGY-IET IET COMMUNICATIONS, 4 (5), pp. 495-506.
    doi: 10.1049/iet-com.2009.0479
  • Demestichas P, Moessner K, Smirnov M, Bourse D. (2010) 'Functionality and Collaboration Mechanisms for Cognitive Wireless Networks and Systems'. SPRINGER JOURNAL OF NETWORK AND SYSTEMS MANAGEMENT, 18 (1), pp. 1-3.
    doi: 10.1007/s10922-009-9154-0
  • Arshad K, Imran MA, Moessener K. (2010) 'Collaborative Spectrum Sensing Optimisation Algorithms for Cognitive Radio Networks'. Hindawi Publishing Corporation International Journal of Digital Multimedia Broadcasting, 2010 Article number Article ID 424036
    doi: 10.1155/2010/424036
    Full text is available at: http://epubs.surrey.ac.uk/125629/

    Abstract

    The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio. However, due to the channel uncertainties, local observations are not reliable and collaboration among users is required. Selection of fusion rule at a common receiver has a direct impact on the overall spectrum sensing performance. In this paper, optimisation of collaborative spectrum sensing in terms of optimum decision fusion is studied for hard and soft decision combining. It is concluded that for optimum fusion, the fusion centre must incorporate signal-to-noise ratio values of cognitive users and the channel conditions. A genetic algorithm-based weighted optimisation strategy is presented for the case of soft decision combining. Numerical results show that the proposed optimised collaborative spectrum sensing schemes give better spectrum sensing performance.

  • Li N, Tarus H, Irvine JM, Moessner K. (2010) 'A communication middleware for ubiquitous multimedia adaptation services'. Computing and Informatics, 29 (4), pp. 629-646.
  • Thilakawardana D, Moessner K. (2009) 'Traffic modelling and forecasting using genetic algorithms for next-generation cognitive radio applications'. SPRINGER FRANCE ANNALES DES TELECOMMUNICATIONS-ANNALS OF TELECOMMUNICATIONS, 64 (7-8), pp. 535-543.
    doi: 10.1007/s12243-009-0093-2
  • Dimitrakopoulos G, Demestichas P, Tsagkaris K, Saatsakis A, Moessner K, Muck M, Bourse D. (2009) 'Emerging, Self-Management Functionality for Introducing Cognition in the Wireless, B3G World'. SPRINGER WIRELESS PERSONAL COMMUNICATIONS, 48 (1), pp. 33-47.
    doi: 10.1007/s11277-007-9428-3
  • Prammanee S, Moessner K. (2008) 'Mobile Multimodality: A Theoretical Approach to Facilitate Virtual Device Environments'. SPRINGER MOBILE NETWORKS & APPLICATIONS, 13 (6), pp. 569-582.
    doi: 10.1007/s11036-008-0091-z
  • Thilakawardana D, Moessner K, Tafazolli R. (2008) 'Darwinian approach for dynamic spectrum allocation in next generation systems'. INST ENGINEERING TECHNOLOGY-IET IET COMMUNICATIONS, 2 (6), pp. 827-836.
    doi: 10.1049/iet-com:20070502
  • Akhtar N, Moessner K. (2008) 'On the nominal capacity of multi-radio multi-channel wireless mesh networks'. ELSEVIER SCIENCE BV COMPUTER COMMUNICATIONS, 31 (8), pp. 1475-1483.
    doi: 10.1016/j.comcom.2008.01.056
  • El Saddik A, Moessner K, Selçuk Candan K, Liang B, Liu J. (2008) 'ACM/springer mobile networks and applications (MONET): Special issue on "ambient media and systems"'. Mobile Networks and Applications, 13 (6), pp. 543-546.
    doi: 10.1007/s11036-008-0100-2
  • Georgiades M, Moessner K, Dagiuklas T. (2008) 'On the enhancement of mobility and multimedia communications in heterogeneous RANs'. International Journal of Internet Protocol Technology, 3 (1), pp. 22-34.
    doi: 10.1504/IJIPT.2008.019293
  • Gluhak A, Inoue M, Moessner K, Tafazolli R. (2007) 'Signaling channel for coordinated multicast service delivery in next generation wireless networks'. IEICE-INST ELECTRONICS INFORMATION COMMUNICATIONS ENG IEICE TRANSACTIONS ON COMMUNICATIONS, E90B (7), pp. 1780-1790.
    doi: 10.1093/ietcom/e9O-b.7.1780
  • Huang L, Chew KA, Thilakawardana S, Liu Y, Moessner K, Tafazolli R. (2006) 'Efficient group-based multimedia-on-demand service delivery in wireless networks'. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC IEEE TRANSACTIONS ON BROADCASTING, 52 (4), pp. 492-504.
    doi: 10.1109/TBC.2006.883303
  • Rodriguez V, Moessner K, Tafazolli R. (2006) 'Market driven dynamic spectrum allocation over space and time among radio-access networks: DVB-T and B3G CDMA with heterogeneous terminals'. SPRINGER MOBILE NETWORKS & APPLICATIONS, 11 (6), pp. 847-860.
    doi: 10.1007/s11036-006-0053-2
  • Dimitrakopoulos G, Moessner K, Kloeck C, Grandblaise D, Gault S, Sallent O, Tsagkaris K, Demestichas P. (2006) 'Adaptive resource management platform for reconfigurable networks'. SPRINGER MOBILE NETWORKS & APPLICATIONS, 11 (6), pp. 799-811.
    doi: 10.1007/s11036-006-0050-5
  • Prammanee S, Moessner K, Tafazolli R. (2006) 'Discovering modalities for adaptive multimodal interfaces'. ACM Interactions, 13 (3), pp. 66-70.
  • Leaves P, Moessner K, Tafazolli R, Grandblaise D, Bourse D, Tonjes R, Breveglieri M. (2004) 'Dynamic spectrum allocation in composite reconfigurable wireless networks'. IEEE_M_COM, 42 Article number 5 , pp. 72-81.
    doi: 10.1109/MCOM.2004.1299346

Conference papers

  • Triantafyllopoulou D, Guo T, Moessner K. (2012) 'Energy Efficient ANDSF-assisted Network Discovery for non-3GPP Access Networks'. IEEE Barcelona, Spain: IEEE International Workshop on Computer-Aided Modeling Analysis and Design of Communication Links and Networks (CAMAD), pp. 297-301.
    doi: 10.1109/CAMAD.2012.6335354
  • Wang W, De S, Toenjes R, Reetz E, Moessner K. (2012) 'A Comprehensive Ontology for Knowledge Representation in the Internet of Things'. IEEE Liverpool, UK: IEEE 11th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), pp. 1793-1798.
    doi: 10.1109/TrustCom.2012.20
    Full text is available at: http://epubs.surrey.ac.uk/716727/

    Abstract

    Semantic modeling for the Internet of Things has become fundamental to resolve the problem of interoperability given the distributed and heterogeneous nature of the “Things”. Most of the current research has primarily focused on devices and resources modeling while paid less attention on access and utilisation of the information generated by the things. The idea that things are able to expose standard service interfaces coincides with the service oriented computing and more importantly, represents a scalable means for business services and applications that need context awareness and intelligence to access and consume the physical world information. We present the design of a comprehensive description ontology for knowledge representation in the domain of Internet of Things and discuss how it can be used to support tasks such as service discovery, testing and dynamic composition.

  • Tönjes R, Reetz ES, Moessner K, Barnaghi PM. (2012) 'A test-driven approach for life cycle management of internet of things enabled services'. 2012 Future Network and Mobile Summit, FutureNetw 2012,
    Full text is available at: http://epubs.surrey.ac.uk/736928/

    Abstract

    To date implementations of Internet of Things (IoT) architectures are confined to particular application areas and tailored to meet only the limited requirements of their narrow applications. To overcome technology and sector boundaries this paper proposes a dynamic service creation environment that employs i) orchestration of business services based on re-usable IoT service components, ii) self-management capable components for automated configuration and testing of services for things, and iii) abstraction of the heterogeneity of underlying technologies to ensure interoperability. To ensure reliability and robustness the presented approach integrates self-testing and self-adaptation in all service life cycle phases. The service life cycle management distinguishes the IoT service creation phase (design-time) and the IoT service provision phase (run-time). For test-friendly service creation (1) semantic service descriptions are employed to derive semi-automatically services and related tests, (2) and testing is systematically integrated into a Service Creation Environment. For reliable and robust service provisioning the presented system (3) forces validation tests in a sandbox environment before deployment and (4) enables run-time monitoring for service adaptation. The system under test is modelled by finite state machines (FSM) that are semi-automatically composed of re-usable test components. Then path searching algorithms are applied to derive automatically tests from the FSM model. The resulting tests are specified in the test control notation TTCN-3 and compiled to run the validation tests. © 2012 IIMC Ltd.

  • Georgoulas S, Moessner K, Eracleous D, Nati M. (2012) 'Formal Verification of the Cooperative Behaviour of Network Nodes for Routing and Context Dissemination'. IEEE Future Network & Mobile Summit (FutureNetw), 2012, Berlin, Germany: Future Network and Mobile Summit 2012
  • Francois F, Wang N, Moessner K, Georgoulas S. (2012) 'Optimization for time-driven link sleeping reconfigurations in ISP backbone networks'. Proceedings of the 2012 IEEE Network Operations and Management Symposium, NOMS 2012, , pp. 221-228.
    doi: 10.1109/NOMS.2012.6211902
    Full text is available at: http://epubs.surrey.ac.uk/726219/

    Abstract

    Backbone network energy efficiency has recently become a primary concern for Internet Service Providers and regulators. The common solutions for energy conservation in such an environment include sleep mode reconfigurations and rate adaptation at network devices when the traffic volume is low. It has been observed that many ISP networks exhibit regular traffic dynamicity patterns which can be exploited for practical time-driven link sleeping configurations. In this work, we propose a joint optimization algorithm to compute the reduced network topology and its actual configuration duration during daily operations. The main idea is first to intelligently remove network links using a greedy heuristic, without causing network congestion during off-peak time. Following that, a robust algorithm is applied to determine the window size of the configuration duration of the reduced topology, making sure that a unified configuration with optimized energy efficiency performance can be enforced exactly at the same time period on a daily basis. Our algorithm was evaluated using on a Point-of-Presence representation of the GÉANT network and its real traffic matrices. According to our simulation results, the reduced network topology obtained is able to achieve 18.6% energy reduction during that period without causing significant network performance deterioration. The contribution from this work is a practical but efficient approach for energy savings in ISP networks, which can be directly deployed on legacy routing platforms without requiring any protocol extension. © 2012 IEEE.

  • Gürgen L, Biswas A-R, Moessner K, Ramparany F. (2012) 'Welcome message from the chairs'. Self-IoT'12 - Proceedings of the 2012 International Workshop on Self-Aware Internet of Things, Co-located with ICAC'12,
  • Godarzi DM, Arshad K, Ko Y, Moessner K. (2012) 'Selecting users in energy-efficient collaborative spectrum sensing'. IEEE Wireless Communications and Networking Conference, WCNC, , pp. 1029-1033.
    doi: 10.1109/WCNC.2012.6213924
  • Pérez-Romero J, Sallent O, Bouali F, Sarvanko H, Mustonen M, Matinmikko M, Lee H, Vahid S, Moessner K. (2012) 'A spectrum selection framework for Opportunistic Networks'. 2012 Future Network and Mobile Summit, FutureNetw 2012,
  • Yu X, Navaratnam P, Moessner K. (2012) 'Distributed Interference Aware Admission Control with Soft Resource Allocation for Hybrid MAC in Wireless Mesh Networks'. IEEE ICC 2012, Ottawa, Canada: IEEE ICC 2012, pp. 460-465.
  • Yu X, Navaratnam P, Moessner K. (2012) 'Distributed MAC scheduling mechanism based on resource reservation for IEEE 802.11e-based multi-hop wireless networks'. IEEE Wireless Communications and Networking Conference, WCNC, , pp. 1782-1787.
    doi: 10.1109/WCNC.2012.6214073
  • Alshahwan F, Moessner K, Carrez F. (2011) 'Distribute provision strategies of RESTful-based mobile web services'. IEEE IEEE Global Telecommunications Conference 2011, Houston, Texas: GLOBECOM 2011
    doi: 10.1109/GLOCOM.2011.6133992
  • Nakata A, Arshad K, Moessner K. (2011) 'Interference Tolerable Threshold Analysis in Cognitive Femtocells'. Washington DC, USA: Wireless Innovation Conference and Product Exhibition (SDR'11-WinnComm)
    Full text is available at: http://epubs.surrey.ac.uk/729181/

    Abstract

    In this paper interference management in co-channel deployment of macrocell and cognitive femtocells is investigated. For the purpose of the aggregate interference mitigation from all femtocell access points (FAP) to macrocell user equipment (MUE) and the purpose to increase the radio link quality of femtocell system, a parameter named interference tolerable threshold (Ith) is introduced, the aim is to reduce the interference an individual FAP causes to MUE to a level lower than Ith. A dynamic Ith control scheme is proposed to determine the appropriate value of this threshold. The simulation results show that the highest available Ith depends on the total number of FAPs, a larger number of FAPs does affect aggregate interference even if the individual interference is in acceptable range. The proposed method, however, achieves the adaptation of the highest available Ith without needing knowledge about the number of FAPs in the vicinity of MUEs.

  • Arshad K, Briggs K, Moessner K. (2011) 'Robust spectrum sensing for cognitive radio based on statistical tests'. ACM Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management, Barcelona, Spain: CogART 2011
    doi: 10.1145/2093256.2093268
  • Ayyadurai V, Moessner K, Tafazolli R. (2011) 'Multihop cellular network optimization using genetic algorithms'. 2011 7th International Conference on Network and Service Management, Paris, France: 7th CNSM
  • Ganz F, Barnaghi P, Carrez F, Moessner K. (2011) 'Context-aware management for sensor networks'. New York, USA : ACM Proceedings of the 5th International Conference on Communication System Software and Middleware, Verona, Italy: COMSWARE 2011, pp. 6:1-6:6.
    doi: 10.1145/2016551.2016557
    Full text is available at: http://epubs.surrey.ac.uk/470672/

    Abstract

    The wide field of wireless sensor networks requires that hun- dreds or even thousands of sensor nodes have to be main- tained and configured. With the upcoming initatives such as Smart Home and Internet of Things, we need new mecha- nism to discover and manage this amount of sensors. In this paper, we describe a middleware architecture that uses con- text information of sensors to supply a plug-and-play gate- way and resource management framework for heterogeneous sensor networks. Our main goals are to minimise the effort for network engineers to configure and maintain the network and supply a unified interface to access the underlying het- erogeneous network. Based on the context information such as battery status, routing information, location and radio signal strength the gateway will configure and maintain the sensor network. The sensors are associated to nearby base stations using an approach that is adapted from the 802.11 WLAN association and negotiation mechanism to provide registration and connectivity services for the underlying sen- sor devices. This abstracted connection layer can be used to integrate the underlying sensor networks into high-level ser- vices and applications such as IP-based networks and Web services.

  • Georgoulas S, Ghader M, Moessner K, Dianati M, Tafazolli R. (2011) 'On the applicability of architecture description languages to future internet networking environments'. Warsaw, Poland: Future Network and Mobile summit 2011
  • Arshad K, Moessner K. (2011) 'Robust collaborative spectrum sensing based on beta reputation system'. 2011 Future Network and Mobile Summit, Warsaw, Poland: Future Network Summit 2011
  • Elsaleh T, Gluhak A, Moessner K. (2011) 'Service continuity for subscribers of the mobile real world Internet'. IEEE International Conference on Communications,
    doi: 10.1109/iccw.2011.5963604
  • De Silva H, Carrez F, Moessner K. (2011) 'Automated group formation in decentralised environments'. International Conference on Intelligent Systems Design and Applications, ISDA, , pp. 24-29.
    doi: 10.1109/ISDA.2011.6121625
  • Jin Y, Vural S, Gluhak A, Moessner K, Wei D. (2011) 'A distributed energy-efficient re-clustering solution for wireless sensor networks'. GLOBECOM - IEEE Global Telecommunications Conference,
    doi: 10.1109/GLOCOM.2011.6133987
  • Ganz F, Barnaghi P, Carrez F, Moessner K. (2011) 'A mediated gossiping mechanism for large-scale sensor networks'. 2011 IEEE GLOBECOM Workshops, GC Wkshps 2011, , pp. 405-409.
    doi: 10.1109/GLOCOMW.2011.6162480
    Full text is available at: http://epubs.surrey.ac.uk/470671/

    Abstract

    Gateways in sensor networks are used to relay, aggregate and communicate information from capillary networks to more capable (e.g. IP-based) networks. However Gateway-to-Gateway (G2G) communication to exchange and update information among the gateways in large-scale sensor networks for query processing, data fusion and other similar tasks has been less discussed in recent works. The requirements for large-scale sensor networks such as dynamic topology and update strategies to reduce the overall network load makes G2G communications an important aspect in the network design. In this paper, we introduce a mediated gossip-based G2G communication mechanism. The proposed solution leverages the publish/subscribe approach and uses high-level context assigned to publish/subscribe channels to enable the information discovery and G2G communications. Gateways store/aggregate sensor observation and measurement data according to specific context which is defined based on features such as spatial and temporal attributes, observed phenomena (i.e. feature of interest) and sensor device features. The gateways communicate with each other to exchange data and also to forward related queries for data aggregation in cases that the data should be aggregated from two different sources. The proposed solution also facilitates reliable sensor service provisioning by enabling gateways to communicate and/or forward requests to other gateways when a resource fails or a sensor node becomes unavailable. We compare our results to probabilistic gossiping algorithms and run benchmarks on different dynamic network topologies based on indicators such as number of sent messages and dissemination delay. © 2011 IEEE.

  • AlShahwan F, Moessner K, Carrez F. (2011) 'Distributing resource intensive mobile web services'. 2011 International Conference on Innovations in Information Technology, IIT 2011, , pp. 41-46.
    doi: 10.1109/INNOVATIONS.2011.5893861
  • Yu X, Navaratnam P, Moessner K. (2011) 'Distributed resource reservation for real time sessions in multi-hop wireless networks'. IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference, , pp. 255-260.
    doi: 10.1109/IWCMC.2011.5982542
  • Mcaleer B, Georgoulas S, Moessner K, Tafazolli R. (2011) 'Evaluating protocol energy use and efficiency through profiling of computational operations'. IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference, , pp. 930-935.
    doi: 10.1109/IWCMC.2011.5982526
  • Arshad K, Moessner K. (2011) 'Statistical models of spectrum opportunities for cognitive radio'. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, , pp. 2310-2314.
    doi: 10.1109/PIMRC.2011.6139931
  • Alnwaimi G, Arshad K, Moessner K. (2011) 'Dynamic spectrum allocation algorithm with interference management in displaced networks'. IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference, , pp. 941-946.
    doi: 10.1109/IWCMC.2011.5982528
  • Yu X, Navaratnam P, Moessner K. (2011) 'Delay model for super frame based resource reservation in distributed wireless networks'. SpringerLink MobiMedia 2011 - Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 2012, Cagliari, Italy: International Mobile Multimedia Communications Conference - MobiMedia 2011 79, pp. 89-104.
    doi: 10.1007/978-3-642-30419-4_10
  • AlShahwan F, Moessner K, Carrez F. (2011) 'Providing light weight distributed web services from mobile hosts'. Proceedings - 2011 IEEE 9th International Conference on Web Services, ICWS 2011, , pp. 652-659.
    doi: 10.1109/ICWS.2011.87
  • Durowju O, Arshad K, Moessner K. (2011) 'Cognitive time variant power control in slow fading mobile channels'. IEEE Vehicular Technology Conference,
    doi: 10.1109/VETECS.2011.5956556
  • Durowoju O, Arshad K, Moessner K. (2011) 'Distributed power control for cognitive radio networks, based on incumbent outage information'. IEEE International Conference on Communications,
    doi: 10.1109/icc.2011.5962937
  • Zahir T, Arshad K, Ko Y, Moessner K. (2011) 'A downlink power control scheme for interference avoidance in femtocells'. IWCMC 2011 - 7th International Wireless Communications and Mobile Computing Conference, , pp. 1222-1226.
    doi: 10.1109/IWCMC.2011.5982714
  • Guo T, Wang N, Moessner K, Tafazolli R. (2011) 'Shared backup network provision for virtual network embedding'. IEEE International Conference on Communications,
    doi: 10.1109/icc.2011.5963301
  • Arshad K, Moessner K. (2011) 'Efficient spectrum management among spectrum sharing UMTS operators'. IEEE Vehicular Technology Conference,
    doi: 10.1109/VETECS.2011.5956619
  • Cassar G, Barnaghi P, Moessner K. (2011) 'A probabilistic latent factor approach to service ranking'. Proceedings - 2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, ICCP 2011, , pp. 103-109.
    doi: 10.1109/ICCP.2011.6047850
  • Barnaghi P, Liu X, Moessner K, Liao J. (2010) 'Using Concept and Structure Similarities for Ontology Integration'. CEUR Workshop Proceedings: Proceedings of the 5th International Workshop on Ontology Matching, Shanghai, China: OM-2010 689
    Full text is available at: http://epubs.surrey.ac.uk/470682/

    Abstract

    We propose a method to align different ontologies in similar domains and then define correspondence between concepts in two different ontologies using the SKOS model.

  • Deschamps B, Moessner K, Smith B. (2010) 'Regulation requirements of advanced spectrum exploitation technologies'. 2010 Future Network and Mobile Summit,
  • Yu X, Navaratnam P, Moessner K. (2010) 'Distributed Resource Reservation Mechanism for IEEE 802.11e-Based Networks'. Proc. IEEE 72nd Vehicular Technology Conf. Fall (VTC 2010-Fall), Ottawa: IEEE 72nd Vehicular Technology Conference, pp. 1-5.
    doi: 10.1109/VETECF.2010.5594312
  • Dianati M, Tafazolli R, Moessner K. (2010) 'Enabling Tussle-Agile Inter-networking Architectures by Underlay Virtualisation'. SPRINGER-VERLAG BERLIN FUTURE INTERNET - FIS 2009, Berlin, GERMANY: 2nd Future Internet Symposium (FIS 2009) 6152, pp. 81-95.
  • Durowoju O, Arshad K, Moessner K. (2010) 'Distributed Power Control for Cognitive Radios with Primary Protection via Spectrum Sensing'. Proc. IEEE 72nd Vehicular Technology Conf. Fall (VTC 2010-Fall), , pp. 1-5.
    doi: 10.1109/VETECF.2010.5594306
  • Arshad K, Moessner K. (2010) 'Mobility driven energy detection based spectrum sensing framework of a cognitive radio'. Proceedings - 2010 2nd UK-India-IDRC International Workshop on Cognitive Wireless Systems, UKIWCWS 2010,
    doi: 10.1109/UKIWCWS.2010.5724224
  • Wei D, Jin Y, Gluhak A, Tafazolli R, Moessner K. (2010) 'Hot-spot issue aware clustering for WSNs to extend stable operation period'. 2010 Future Network and Mobile Summit,
  • Rodriguez J, Marques P, Radwan A, Moessner K, Tafazolli R, Raspopoulos M, Stavrou S, Trapps P, Noquet D, Sithamparanathan K, Gomes Á, Piesiewicz R, Mokrani H, Foglar A, Verikoukis C. (2010) 'Cognitive radio and cooperative strategies for power saving in multi-standard wireless devices'. 2010 Future Network and Mobile Summit,
  • Georgoulas S, Moessner K, McAleer B, Tafazolli R. (2010) 'Towards efficient protocol design through protocol profiling and verification of performance and operational metrics'. IWCMC 2010 - Proceedings of the 6th International Wireless Communications and Mobile Computing Conference, , pp. 848-852.
    doi: 10.1145/1815396.1815591
  • Guo T, Wang N, Tafazolli R, Moessner K. (2010) 'Policy-Aware Virtual relay placement for inter-domain path diversity'. Proc. IEEE Symp. Computers and Communications (ISCC), , pp. 38-43.
    doi: 10.1109/ISCC.2010.5546774
  • Georgoulas S, Moessner K, Mcaleer B, Tafazolli R. (2010) 'Using formal verification methods and tools for protocol profiling and performance assessment in mobile and wireless environments'. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, , pp. 2471-2476.
    doi: 10.1109/PIMRC.2010.5671736
  • De S, Attou A, Moessner K. (2009) 'Service and Content Presentation in Ubiquitous Environments'. Springer Guildford, UK: 4th European Conference on Smart Sensing and Context (EuroSSC), pp. 61-64.
    Full text is available at: http://epubs.surrey.ac.uk/127279/

    Abstract

    The heterogeneous, dynamic nature of ubiquitous environments necessitates that all system components that form part of a personalisation framework should be context aware. Personalised service delivery requires that the system must detect and interpret device modality contexts in real time and provide automated adaptation on behalf of the user. Towards this aim, this paper presents the design and implementation of a demonstrator that offers personalised, context sensitive, service and content delivery.

  • De S, Moessner K. (2009) 'Rule-based Reasoning Mechanism for Context-aware Service Presentation'. IIMC International Information Management Corporation Ltd eChallenges e-2009 Conference Proceedings, Istanbul, Turkey: eChallenges e-2009
    Full text is available at: http://epubs.surrey.ac.uk/127277/

    Abstract

    With universal usability geared towards user focused customisation, a context reasoning engine can derive meaning from the various context elements and facilitate decision-taking for applications and context delivery mechanisms. The heterogeneity of available device capabilities means that the recommendation algorithm must be in a formal, effective and extensible form. Moreover, user preferences, capability context and media metadata must be considered simultaneously to determine appropriate presentation format. Towards this aim, this paper presents a reasoning mechanism that supports service presentation through a rule-based mechanism. The validation of the approach is presented through application use cases.

  • Arshad K, Moessner K. (2009) 'Collaborative Spectrum Sensing for Cognitive Radio'. IEEE 2009 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION WORKSHOPS, VOLS 1 AND 2, Dresden, GERMANY: IEEE International Conference on Communications (ICC 2009), pp. 371-375.
  • Alnwaimi G, Arshad K, Moessner K. (2009) 'Collaborative spectrum sensing in OFDM-based Cognitive Radio'. Proceedings - 2009 1st UK-India International Workshop on Cognitive Wireless Systems, UKIWCWS 2009,
  • Arshad K, Moessner K. (2009) 'Collaborative spectrum sensing: Optimising the number of collaborating users'. Proceedings - 2009 1st UK-India International Workshop on Cognitive Wireless Systems, UKIWCWS 2009,
    doi: 10.1109/UKIWCWS.2009.5749394
  • De S, Moessner K. (2008) 'Semantic Description of Multimodal Devices: Modelling and Evaluation'. IOS Press Collaboration and the Knowledge Economy: Issues, Applications and Case Studies, Stockholm, Sweden: eChallenges e-2008 5, pp. 1439-1446.
    Full text is available at: http://epubs.surrey.ac.uk/127278/

    Abstract

    The heterogeneous, dynamic nature of current communication environments necessitates that all system components that form part of a personalisation framework should be context aware. To ensure context enabled interoperation, a shared, formalised specification of devices and services in the ambient environment is a must. With this aim, this paper presents an ontology model that captures the semantics of the multimodal devices and services in the mobile ad-hoc environment. The approach is validated using available metrics and compared to existing approaches, both through subjective feature-based evaluation and metrics’ calculations. This paper also extends the metrics’ usability by extending the analysis to interoperability with application logic and domain capture.

  • De S, Meissner S, Kernchen R, Moessner K. (2008) 'A Semantic Device and Service Description Framework for Ubiquitous Environments'. IIMC International Information Management Corporation ICT-MobileSummit 2008 Conference Proceedings, Stockholm, Sweden: 17th ICT Mobile and Wireless Communications Summit Conference
  • Attou A, Ding J, Laurenson DI, Moessner K. (2008) 'Performance Modelling and Evaluation of An Adaptation Management System'. SOC MODELING SIMULATION INT-SCS PROCEEDINGS OF THE 2008 INTERNATIONAL SYMPOSIUM ON PERFORMANCE EVALUATION OF COMPUTER AND TELECOMMUNICATION SYSTEMS, Edinburgh, SCOTLAND: International Symposium on Performance Evaluation Computer and Telecommunication Systems, pp. 369-376.
  • Akhtar N, Moessner K. (2008) 'Capacity of grid-oriented wireless mesh networks'. IEEE 2008 3RD INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEM SOFTWARE AND MIDDLEWARE AND WORKSHOPS, VOLS 1 AND 2, Bangalore, INDIA: 3rd International Conference on Communication System Software and Middleware and Workshop, pp. 631-636.
    doi: 10.1109/COMSWA.2008.4554487
    Full text is available at: http://epubs.surrey.ac.uk/2311/
  • Attou A, Moessner K. (2007) 'Context-aware service adaptation management'. IEEE 2007 IEEE 18TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-9, Athens, GREECE: 18th IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, pp. 1468-1472.
    Full text is available at: http://epubs.surrey.ac.uk/2328/
  • De S, Moessner K. (2007) 'Context gathering in Ubiquitous Environments: Enhanced Service Discovery'. 3rd Workshop on Context Awareness for Proactive Systems (CAPS'2007) Proceedings, Guildford, UK: 3rd Workshop on Context Awareness for Proactive Systems (CAPS'2007)
    Full text is available at: http://epubs.surrey.ac.uk/127276/

    Abstract

    Delivering individualized services that conform to the user’s current situation will form the focus of ubiquitous environments. A description of the networked environment at a semantic level will necessitate contextually oriented knowledge acquisition methods. This then engenders unique challenges for the crucial step of resource discovery. A number of service discovery protocols exist to perform this role. In this paper, we identify the requirements inherent for such an environment and investigate the suitability of the available protocols against these. A suitable candidate solution is proposed with an implementation with semantic extensions and reference points for further enhancements.

  • Akhtar N, Markendahl J, Moessner K. (2007) 'Analysis of complexity and transaction costs for cooperating networks'. IEEE 2007 IEEE 18TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-9, Athens, GREECE: 18th IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, pp. 4270-4274.
  • Thilakawardana D, Moessner K. (2007) 'A genetic approach to cell-by-cell dynamic spectrum allocation for optimising spectral efficiency in wireless mobile systems'. IEEE 2007 2ND INTERNATIONAL CONFERENCE ON COGNITIVE RADIO ORIENTED WIRELESS NETWORKS AND COMMUNICATIONS, Orlando, FL: 2nd International Conference on Cognitive Radio Oriented Wireless Networks and Communications, pp. 367-372.
    doi: 10.1109/CROWNCOM.2007.4549825
  • Holland O, Attar A, Aghvami AH, Muck M, Bourse D, Grandblaise D, Martigne P, Cordier P, Jemaa SB, Houze P, Klöck C, Renk T, Pan J, Slanina P, Mößner K, Giupponi L, Romero JP, Agusti R. (2007) 'Development of a Radio enabler for reconfiguration management within the IEEE P1900.4 working group'. 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, , pp. 232-239.
    doi: 10.1109/DYSPAN.2007.38
  • Du Y, Kertichen R, Moessner K, Raeck C, Sawade O, Tarkoma S, Arbanowski S. (2007) 'Context-aware learning for intelligent mobile multimodal user interfaces'. IEEE 2007 IEEE 18TH INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS, VOLS 1-9, Athens, GREECE: 18th IEEE International Symposium on Personal, Indoor and Mobile Radio Communication, pp. 3672-3676.
  • Grandblaise D, Moessner K, Vivier G, Tafazolli R. (2006) 'Rental protocol for automated spectrum sharing negotiation between base stations'. FACHVERLAG SCHIELE SCHON FREQUENZ, Karlsruhe, GERMANY: 4th Karlsruhe Workshop on Software Radios 60 (9-10), pp. 162-166.
    doi: 10.1515/FREQ.2006.60.9-10.162
  • Akhtar N, Moessner K, Kernchen R. (2006) 'Context dissemination for Autonomic Communication systems'. SPRINGER-VERLAG BERLIN AUTONOMIC COMMUNICATION, Athens, GREECE: 2nd IFIP Workshop on Autonomic Communication (WAC 2005) 3854, pp. 237-242.
  • Moessner K, Luo J, Mohyeldin E, Grandblaise D, Kloeck C, Martoyo I, Sallent O, Demestichas P, Dimitrakopoulos G, Tsagkaris K, Olaziregi N. (2006) 'Functional Architecture of End-to-End Reconfigurable Systems'. IEEE 2006 IEEE 63RD VEHICULAR TECHNOLOGY CONFERENCE, VOLS 1-6, Melbourne, AUSTRALIA: 63rd IEEE Vehicular Technology Conference, pp. 196-200.
    Full text is available at: http://epubs.surrey.ac.uk/2357/
  • Kernchen R, Boda PP, Moessner K, Mrohs B, Boussard M, Giuliani G. (2005) 'Multimodal user interfaces for context-aware mobile applications'. Proc. IEEE 16th Int. Symp. Personal, Indoor and Mobile Radio Communications PIMRC 2005, 4, pp. 2268-2273.
    doi: 10.1109/PIMRC.2005.1651849
  • Rodriguez V, Moessner K, Tafazolli R. (2005) 'Auction driven dynamic spectrum allocation: optimal bidding, pricing and service priorities for multi-rate, multi-class CDMA'. Proc. IEEE 16th Int. Symp. Personal, Indoor and Mobile Radio Communications PIMRC 2005, 3, pp. 1850-1854.
    doi: 10.1109/PIMRC.2005.1651761
  • Gluhak A, Chew KA, Moessner K, Tafazolli R. (2005) 'Multicast bearer selection in heterogeneous wireless networks'. Proc. IEEE Int. Conf. Communications ICC 2005, 2, pp. 1372-1377.
    doi: 10.1109/ICC.2005.1494570
  • Grandblaise D, Kloeck C, Moessner K, Rodriguez V, Mohyeldin E, Pereirasamy MK, Luo J, Martoyo I. (2005) 'Techno - economic of collaborative based secondary spectrum usage - E2R research project outcomes overview'. Proc. First IEEE Int. Symp. New Frontiers in Dynamic Spectrum Access Networks DySPAN 2005, , pp. 318-327.
    doi: 10.1109/DYSPAN.2005.1542648
  • Grandblaise D, Moessner K, Vivier G, Tafazolli R. (2005) 'Extended DCA paradigm for distributed licensed open spectrum coordination'. Proc. IEEE 16th Int. Symp. Personal, Indoor and Mobile Radio Communications PIMRC 2005, 3, pp. 1974-1978.
    doi: 10.1109/PIMRC.2005.1651785
  • Ghader M, Moessner K, Tafazolli R. (2004) 'Service Discovery and Provision Protocols for Wireless Networks'. Lyon, France: 13th IST Mobile & Wireless Communications Summit
  • Fan L, Akhtar N, Chew KA, Moessner K, Tafazolli R. (2004) 'Network composition: a step towards pervasive computing'. Proc. Fifth IEE Int. Conf. 3G Mobile Communication Technologies 3G 2004, , pp. 198-202.
    doi: 10.1049/cp:20040663
  • Gultchev S, Moessner K, Tafazolli R, Anders J. (2004) 'Reconfigurable software based communication - video services in reconfigurable mobile devices'. Proc. Fifth IEE Int. Conf. 3G Mobile Communication Technologies 3G 2004, , pp. 422-426.
    doi: 10.1049/cp:20040709
  • Moessner K, Bourse D, El-Khazen K, Grandblaise D. (2004) 'The responsibility chain in end-to end reconfigurable systems'. Proc. and the Symp Mobile Future Trends in Communications. SympoTIC ’04. Joint IST Workshop, , pp. 208-211.
    doi: 10.1109/TIC.2004.1409535
  • Grandblaise D, Moessner K, Leaves P, Bourse D. (2003) 'Reconfigurability support for dynamic spectrum allocation: from the DSA concept to implementation'. Proc. Joint First Workshop Mobile Future and Symp. Trends in Communications SympoTIC ’03, , pp. 9-12.
    doi: 10.1109/TIC.2003.1249076
  • Gultchev S, Moessner K, Tafazolli R. (2003) 'Network based reconfiguration support services for software radio terminals'. Proc. 3G Mobile Communication Technologies 4th Int. Conf. (Conf. Publ. No. 494), , pp. 119-122.
    doi: 10.1049/cp:20030349
  • Gultchev S, Moessner K, Tafazolli R. (2002) 'Controlling reconfiguration'. Proc. Third Int 3G Mobile Communication Technologies Conf. (Conf. Publ. No. 489), , pp. 474-478.
    doi: 10.1049/cp:20020442
  • Gultchev S, Mitchell C, Moessner K, Tafazolli R. (2002) 'Securing reconfigurable terminals - mechanisms and protocols'. Proc. 13th IEEE Int Personal, Indoor and Mobile Radio Communications Symp, 2, pp. 804-808.
    doi: 10.1109/PIMRC.2002.1047333
  • Moessner K, Vahid S, Tafazolli R. (2001) 'Terminal reconfigureability-the OPTiMA framework'. Proc. Second Int 3G Mobile Communication Technologies Conf. (Conf. Publ. No. 477), , pp. 241-246.
    doi: 10.1049/cp:20010049
  • Moessner K, Gultchev S, Tafazolli R. (2001) 'Software defined radio reconfiguration management'. Proc. 12th IEEE Int Personal, Indoor and Mobile Radio Communications Symp, 1
    doi: 10.1109/PIMRC.2001.965498
  • Jefferies N, Irvine J, Munro A, Moessner K. (2001) 'Managing increasingly software dependent mobile systems'. Proc. Second Int 3G Mobile Communication Technologies Conf. (Conf. Publ. No. 477), , pp. 247-251.
    doi: 10.1049/cp:20010050
  • Moessner K, Tafazolli R. (2000) 'Terminal reconfigureability-the software download aspect'. Proc. First Int 3G Mobile Communication Technologies Conf. (Conf. Publ. No. 471), , pp. 326-330.
    doi: 10.1049/cp:20000066
  • Moessner K, Vahid S, Tafazolli R. (1999) 'A minimum air interface implementation for software radio based on distributed object technology'. Proc. IEEE Int Personal Wireless Communication Conf, , pp. 369-373.
    doi: 10.1109/ICPWC.1999.759651
  • Moessner K, Vahid S, Tafazolli R. (1999) 'Extension of the PNNI to support mobility management and handoffs in WATM networks based on CORBA'. Proc. IEEE 49th Vehicular Technology Conf, 3, pp. 2515-2519.
    doi: 10.1109/VETEC.1999.778537

Patents

  • Moessner K, Attou A. (2008) Apparatus and Method for Performing Service Adaptation in Respect of a Mobile Computing Device.
  • De S, Moessner K. (2008) Method and apparatus for producing an ontology representing devices and services currently available to a device within a pervasive computing environment. US: Article number USPTO 12/062,794

Teaching

  • (EEM.MAW) Mobile Applications and Web Services
  • (EEM.OSM) Mobile Operating Systems