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Game Theory Based Cooperative MIMO Routing Scheme for Lifetime Enhancement of WSN

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Abstract

The lifetime of wireless sensor network (WSN) is reduced due to the impact caused by channel fading, interference and unbalanced energy consumption. The node’s energy is wasted due to uneven energy consumption for various processes. Communicating the data from source to sink node will consume more power compared to data sensing and processing etc. The channel fading is mitigated through spatial diversity techniques to reduce the energy required for data communication. Spatial diversity can be obtained by using multiple cooperative nodes both at the transmitter as well as the receiver. The cooperative multiple input multiple output (C-MIMO) technique is used to improve the communication performance of WSNs. An efficient cluster based routing protocol is called efficient energy consumption protocol (EECP) which involves fixed clusters and randomized weighted algorithm for cluster head selection to reduce the energy consumption efficiently. The energy consumption of the node is reduced in WSN by incorporating the CMIMO in EECP routing protocol using coalition game. In this paper the game theory based EECP routing protocol with MIMO technology is used to achieve higher energy savings. Simulation results of proposed game theory based CMIMO shows that great energy savings can be achieved and also prolong the lifetime of the network.

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References

  1. Karthikeyan Sundaresan and Raghupathy Sivakumar, Routing in ad-hoc networks with MIMO links: Optimization considerations and protocols, Computer Networks, Vol. 52, pp. 2623–2644, 2008.

    Article  MATH  Google Scholar 

  2. I. F. Akyildiz, W. Su, Y. Sankarasubramaniam and E. Cayirci, Wireless sensor networks: a survey, Computer Network, Vol. 38, No. 4, pp. 393–422, 2002.

    Article  Google Scholar 

  3. J. Yick, B. Mukherjee and D. Ghosal, Wireless sensor network survey, Comput Network, Vol. 52, No. 12, pp. 2292–2330, 2008.

    Article  Google Scholar 

  4. J. Liu, Energy-efficient cross-layer design of cooperative MIMO multi-hop wireless sensor networks using column generation, Wireless Personal Communication Journal, Vol. 66, pp. 185–205, 2012.

    Article  Google Scholar 

  5. K. Akkaya and M. Younis, A survey on routing protocols for wireless sensor networks, Ad Hoc Networks, Vol. 3, No. 3, pp. 325–349, 2005.

    Article  Google Scholar 

  6. Raja. P and Dananjayan. P., “Game theory-based efficient energy consumption routing protocol to enhance the lifetime of WSN”, Int. J. Information and Communication Technology, Article in press, 2015

  7. J. N. Al-Karaki and A. E. Kamal, Routing techniques in wireless sensor networks: a survey, IEEE Wireless Communication, Vol. 11, No. 6, pp. 6–28, 2004.

    Article  Google Scholar 

  8. M.R. Islam, J. Kim, “Energy efficient cooperative MIMO in wireless sensor network”, Proc. of IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Sydney, Australia, pp. 505–510, 2008.

  9. W. Chen, H. Miao, L. Hong, J. Savage, H. Adas, “Cross layer design of heterogeneous virtual MIMO radio networks with multi-optimization”, Proc. of IEEE International Parallel and Distributed Processing Symposium on Advances in Parallel and Distributed Computing Models, Atlanta, GA, USA, pp 1–8, 2010.

  10. S.K. Jayaweera, “Energy analysis of MIMO techniques in wireless sensor networks”, Proceedings of 38th Annual Conference on Information Sciences and Systems, Princeton University, USA, March 2004.

  11. S. Cui, A. J. Goldsmith and A. Bahai, Energy - efficiency of MIMO and cooperative MIMO techniques in sensor networks, IEEE Journal on Selected Areas in Communications, Vol. 22, No. 6, pp. 1089–1098, 2004.

    Article  Google Scholar 

  12. S. M. Alamouti, A simple diversity technique for wireless communications, IEEE Journal on Selected Areas in Communications, Vol. 16, No. 8, pp. 1451–1458, 1998.

    Article  Google Scholar 

  13. L.X.H. Dai, Q. Zhou, “Energy efficiency of mimo transmission strategies in wireless sensor networks”, Proceeding of the International Conference on Computing, Communications and Control Technologies (CCCT), Austin, TX, USA, August 2004.

  14. Irfan Ahmed, Mugen Peng, Wenbo Wang and Syed Ismail Shah, “Joint rate and cooperative MIMO scheme optimization for uniform energy distribution in Wireless Sensor Networks”, Computer Communications, Vol. 32, pp. 1072–1078, 2009.

    Article  Google Scholar 

  15. J. Vidthya and P. Dananjayan, “Energy efficient STBC-encoded cooperative MIMO routing scheme for cluster based wireless sensor networks”, International Journal of Communication Networks and Information Security, vol.2, no.3,pp.216-223, December 2010.

  16. I-Ta Lee, Guann-Long Chiou, Shun-Ren Yang, “A cooperative multicast routing protocol for mobile ad hoc networks”, Computer Networks, vol 55, pp 2407–2424, 2011.

  17. Karthikeyan Sundaresan, Raghupathy Sivakumar, “Routing in ad-hoc networks with MIMO links: Optimization considerations and protocols”, Computer Networks, vol-52, pp 2623–2644, 2008.

  18. Y. Yuan, Z. He and M. Chen, Virtual MIMO- based cross-layer design for wireless sensor networks, IEEE Transactions on Vehicular Technology, Vol. 55, No. 3, pp. 856–864, 2006.

    Article  Google Scholar 

  19. W. Cheng, K. Xu, Z. Yang and Z. Feng, “An energy-efficient cooperative MIMO transmission scheme for wireless sensor networks”, Proceedings of International Conference on Wireless Communication, Networking and Mobile Computing, pp 1-4, 2006.

  20. Mathur.S, Sankaranarayanan.L, and Mandayam.N, “Coalitions in cooperative wireless networks”, IEEE Journal on Selected Areas in Communications, vol. 26, pp 1104-1115, 2008.

  21. Walid Saad, Zhu Han, Mérouane Debbah, Are Hjørungnes and Tamer Basar, Coalitional Game Theory for Communication Networks, IEEE Signal Processing Magazine, Vol. 26, No. 5, pp. 77–97, 2009.

    Article  Google Scholar 

  22. Isabel Dietrich and Falko Dressler, “On the Lifetime of Wireless Sensor Networks” ACM Transactions on Sensor Networks, Vol. 5, No. 1, pp1-38, January 2009.

  23. Ademola P. Abidoye, Nureni A. Azeez, Ademola O. Adesina and Kehinde K. Agbele, ANCAEE: A Novel Clustering Algorithm for Energy Efficiency in Wireless Sensor Networks, Wireless Sensor Network, Vol. 3, pp. 307–312, 2011.

    Article  Google Scholar 

  24. Ming Liu, Jiannong Cao, Guihai Chen and Xiaomin Wang, An Energy-Aware Routing Protocol in Wireless Sensor Networks, Sensors, Vol. 9, pp. 445–462, 2009.

    Article  Google Scholar 

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Authors and Affiliations

  1. Department of ECE, Sri Manakula Vinayagar Engineering College, Pondicherry, India

    P. Raja

  2. Department of ECE, Pondicherry Engineering College, Pondicherry, India

    P. Dananjayan

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  1. P. Raja
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  2. P. Dananjayan
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Correspondence to P. Raja.

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Raja, P., Dananjayan, P. Game Theory Based Cooperative MIMO Routing Scheme for Lifetime Enhancement of WSN. Int J Wireless Inf Networks 22, 116–125 (2015). https://doi.org/10.1007/s10776-015-0268-x

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  • DOI: https://doi.org/10.1007/s10776-015-0268-x

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