Energy Efficient Cooperative LEACH Protocol for Wireless Sensor Networks

  • Received : 2008.12.17
  • Accepted : 2010.02.03
  • Published : 2010.08.31

Abstract

We develop a low complexity cooperative diversity protocol for low energy adaptive clustering hierarchy (LEACH) based wireless sensor networks. A cross layer approach is used to obtain spatial diversity in the physical layer. In this paper, a simple modification in clustering algorithm of the LEACH protocol is proposed to exploit virtual multiple-input multiple-output (MIMO) based user cooperation. In lieu of selecting a single cluster-head at network layer, we proposed M cluster-heads in each cluster to obtain a diversity order of M in long distance communication. Due to the broadcast nature of wireless transmission, cluster-heads are able to receive data from sensor nodes at the same time. This fact ensures the synchronization required to implement a virtual MIMO based space time block code (STBC) in cluster-head to sink node transmission. An analytical method to evaluate the energy consumption based on BER curve is presented. Analysis and simulation results show that proposed cooperative LEACH protocol can save a huge amount of energy over LEACH protocol with same data rate, bit error rate, delay and bandwidth requirements. Moreover, this proposal can achieve higher order diversity with improved spectral efficiency compared to other virtual MIMO based protocols.

Keywords

References

  1. W. Heinzelman, Application Specific Protocol Architectures for Wireless Networks. Ph.D. thesis, Massachusetts Institute of Technology, 2000.
  2. D. Niculescu, "Communication paradigms for sensor networks," IEEE Commun. Mag., vol. 43, no. 3, pp. 116–122, 2005.
  3. I. F. Akyildiz, S. Weilian, Y. Sankarasubramaniam, and E. Cayirci, "A survey on sensor networks," IEEE Commun, Mag., vol. 40, no. 8, pp. 102– 114, 2002. https://doi.org/10.1109/MCOM.2002.1024422
  4. J. N. Laneman, D. N. C. Tse, and G.W.Wornell, "Cooperative diversity in wireless networks: Efficient protocols and outage behavior," IEEE Trans. Inf. Theory, vol. 50, no. 12, pp. 3062–3080, 2004. https://doi.org/10.1109/TIT.2004.838089
  5. A. Nosratinia, T. E. Hunter, and A. Hedayat, "Cooperative communication in wireless networks," IEEE Commun. Mag., vol. 42, no. 10, pp. 74–80, 2004. https://doi.org/10.1109/MCOM.2004.1341264
  6. T. E. Hunter and A. Nosratinia, "Diversity through coded cooperation," IEEE Trans. Wireless Commun., vol. 5, no. 2, pp. 283–289, 2006.
  7. A. Sendonaris, E. Erkip, and B. Aazhang, "User cooperation diversity - part i: System description," IEEE Trans. Commun., vol. 51, no. 11, pp. 1927–1938, 2003. https://doi.org/10.1109/TCOMM.2003.818096
  8. J. N. Laneman and G. W. Wornell, "Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks," IEEE Trans. Inf. Theory, vol. 49, no. 10, pp. 2415–2425, 2003. https://doi.org/10.1109/TIT.2003.817829
  9. L. Pei, T. Zhifeng, L. Zinan, E. Erkip, and S. Panwar, "Cooperative wireless communications: A cross-layer approach," IEEE Wireless Commun., vol. 13, no. 4, pp. 84–92, 2006. https://doi.org/10.1109/MWC.2006.1678169
  10. C. Shuguang, A. J. Goldsmith, and A. Bahai, "Energy-efficiency ofMIMO and cooperative MIMO techniques in sensor networks," IEEE J. Sel. Areas Commun., vol. 22, no. 6, pp. 1089–1098, 2004. https://doi.org/10.1109/JSAC.2004.830916
  11. A. d. Coso, U. Spagnolini, and C. Ibars, "Cooperative distributed mimo channels in wireless sensor networks," IEEE J. Sel. Areas Commun., vol. 25, no. 2, pp. 402–414, 2007.
  12. S. K. Jayaweera, "Virtual MIMO-based cooperative communication for energy-constrained wireless sensor networks," IEEE Trans. Wireless Commun., vol. 5, no. 5, pp. 984–989, 2006.
  13. C. Wenqing, X. Kanru, L. Wei, Y. Zongkai, and F. Zheng, "An energyefficient cooperative MIMO transmission scheme for wireless sensor networks," in Proc. Int. Conf. Wireless Commun., Netw. Mobile Computing, 2006, pp. 1–4.
  14. L. Xiaohua, C. Mo, and L. Wenyu, "Application of STBC-encoded cooperative transmissions in wireless sensor networks," IEEE Signal Process. Lett., vol. 12, no. 2, pp. 134–137, 2005.
  15. Y. Yuan, M. Chen, and T. Kwon, "A novel cluster-based cooperative MIMO scheme for multi-hop wireless sensor networks," EURASIP J. Wirel. Commun. Netw., vol. 2006, no. 2, pp. 1–9, 2006.
  16. T. S. Rappaport, Wireless communications : Principles and practice. Upper Saddle River, N.J.: Prentice Hall PTR, 2nd ed., 2002.
  17. J. G. Proakis and M. Salehi, Digital communications. Boston: McGraw- Hill Higher Education, 5th ed., 2008.
  18. S. Weifeng, A. K. Sadek, and K. J. R. Liu, "Ser performance analysis and optimum power allocation for decode-and-forward cooperation protocol in wireless networks," in Proc. IEEE WCNC, vol. 2, 2005, pp. 984–989.