Mitigating shadowing effects through cluster-head cooperation techniques

In many situations the performance of wireless communication systems decreases especially when they operate over multipath fading channels subject also to shadowing. In this sense, cluster-based networks have been introduced as an efficient solution, offering coverage extension and energy saving. In this study, the authors investigate new cluster-head (CH) selection algorithms, where the nodes can select different CHs, according to the corresponding signal strength. In addition, it is shown that if CHs are equipped with multiple antennas, the negative consequences of fading/shadowing can be further reduced. The performance of this scheme is theoretically investigated over correlated Nakagami-m fading channels, which are also subject to shadow fading, modelled by gamma distribution. The derived statistical metrics are used to obtain numerical evaluated results for the outage and the average bit error probabilities. These results are complemented by computer simulated ones, which validate the accuracy of the proposed analysis.

[1]  Jemal H. Abawajy,et al.  Performance Analysis of Receive Diversity in Wireless Sensor Networks over GBSBE Models , 2010, Sensors.

[2]  Victor Adamchik,et al.  The algorithm for calculating integrals of hypergeometric type functions and its realization in REDUCE system , 1990, ISSAC '90.

[3]  Norman C. Beaulieu,et al.  Analysis of switched diversity systems on generalized-fading channels , 1994, IEEE Trans. Commun..

[4]  D.F. DiFonzo,et al.  Introduction to communications engineering , 1981, Proceedings of the IEEE.

[5]  S. Kotz,et al.  Distribution of Sum of Identically Distributed Exponentially Correlated Gamma-Variables , 1964 .

[6]  Robert Schober,et al.  On the performance of non-coherent transmission schemes with equal-gain combining in generalized Κ-fading , 2010, IEEE Transactions on Wireless Communications.

[7]  Der-Jiunn Deng,et al.  Cluster-based secure communication mechanism in wireless ad hoc networks , 2010, IET Inf. Secur..

[8]  Mazen O. Hasna,et al.  End-to-end performance of transmission systems with relays over Rayleigh-fading channels , 2003, IEEE Trans. Wirel. Commun..

[9]  Valentine A. Aalo,et al.  Performance analysis of dual-hop relay systems with single relay selection in composite fading channels , 2012 .

[10]  Haitao Zhao,et al.  Distributed interference-aware relay selection for IEEE 802.11 based cooperative networks , 2012, IET Networks.

[11]  Klaus I. Pedersen,et al.  Performance of Fast AMC in E-UTRAN Uplink , 2008, 2008 IEEE International Conference on Communications.

[12]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[13]  Gordon L. Stüber,et al.  Outage probability for cooperative diversity with selective combining in cellular networks , 2010, Wirel. Commun. Mob. Comput..

[14]  Mohamed-Slim Alouini,et al.  Analysis and optimization of switched diversity systems , 2000, IEEE Trans. Veh. Technol..

[15]  K. J. Ray Liu,et al.  On the energy efficiency of cooperative communications in wireless sensor networks , 2009, TOSN.

[16]  Hai Jiang,et al.  Performance of an Energy Detector over Channels with Both Multipath Fading and Shadowing , 2010, IEEE Transactions on Wireless Communications.

[17]  Konstantinos Kalpakis,et al.  An efficient clustering-based heuristic for data gathering and aggregation in sensor networks , 2003, 2003 IEEE Wireless Communications and Networking, 2003. WCNC 2003..

[18]  Paolo Santi,et al.  An Architecture for Robust Sensor Network Communications , 2005, Int. J. Distributed Sens. Networks.

[19]  Halim Yanikomeroglu,et al.  On the approximation of the generalized-Κ distribution by a gamma distribution for modeling composite fading channels , 2010, IEEE Transactions on Wireless Communications.

[20]  Ali Abdi,et al.  A simple alternative to the lognormal model of shadow fading in terrestrial and satellite channels , 2001, IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211).

[21]  Lie-Liang Yang,et al.  Multihop Diversity for Fading Mitigation in Multihop Wireless Networks , 2011, 2011 IEEE Vehicular Technology Conference (VTC Fall).

[22]  Paolo Santi,et al.  Robust communications for sensor networks in hostile environments , 2004, Twelfth IEEE International Workshop on Quality of Service, 2004. IWQOS 2004..

[23]  Ranjan K. Mallik,et al.  On the Sum of Kappa Stochastic Variates and Applications to Equal-Gain Combining , 2011, IEEE Transactions on Communications.

[24]  Preben E. Mogensen,et al.  Adaptive Transmission Bandwidth Based Packet Scheduling for LTE Uplink , 2008, 2008 IEEE 68th Vehicular Technology Conference.

[25]  Gerd Kortuem,et al.  Smart objects as building blocks for the Internet of things , 2010, IEEE Internet Computing.

[26]  Sajal K. Das,et al.  WCA: A Weighted Clustering Algorithm for Mobile Ad Hoc Networks , 2002, Cluster Computing.

[27]  Oguz Kucur,et al.  Performance of maximal-ratio transmission with receive antenna selection in Nakagami-m fading channels , 2010, 21st Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications.

[28]  Fortunato Santucci,et al.  A unified framework for performance analysis of CSI-assisted cooperative communications over fading channels , 2009, IEEE Transactions on Communications.

[29]  H. T. Mouftah,et al.  Reliability model for extending cluster lifetime using Backup Cluster Heads in cluster-based Wireless Sensor Networks , 2010, 2010 IEEE 6th International Conference on Wireless and Mobile Computing, Networking and Communications.

[30]  Athanasios Papoulis,et al.  Probability, Random Variables and Stochastic Processes , 1965 .

[31]  Tung-Sang Ng,et al.  On Performance of Cooperative Communication Systems with Spatial Random Relays , 2011, IEEE Transactions on Communications.

[32]  Jemal H. Abawajy,et al.  Performance of smart antennas with receive diversity in wireless sensor networks , 2008 .

[33]  Ali Abdi,et al.  On the utility of gamma PDF in modeling shadow fading (slow fading) , 1999, 1999 IEEE 49th Vehicular Technology Conference (Cat. No.99CH36363).

[34]  George K. Karagiannidis,et al.  On the performance analysis of digital communications over generalized-K fading channels , 2006, IEEE Communications Letters.

[35]  Maria Huhtala,et al.  Random Variables and Stochastic Processes , 2021, Matrix and Tensor Decompositions in Signal Processing.

[36]  Peter Friess,et al.  Internet of Things Strategic Research Roadmap , 2011 .