Journal of Communications and Networks

  • 제9권4호
  • /
  • Pages.473-481
  • /
  • 2007
  • /
  • 1229-2370(pISSN)
  • /
  • 1976-5541(eISSN)
한국통신학회 (The Korean Institute of Commucations and Information Sciences)
권호 표지

Energy-Efficiency and Transmission Strategy Selection in Cooperative Wireless Sensor Networks

  • Zhang, Yanbing (Department of Electrical and Computer Engineering, NC State University) ;
  • Dai, Huaiyu (Department of Electrical and Computer Engineering, NC State University)
  • 발행 : 2007.12.31
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Energy efficiency is one of the most critical concerns for wireless sensor networks. By allowing sensor nodes in close proximity to cooperate in transmission to form a virtual multiple-input multiple-output(MIMO) system, recent progress in wireless MIMO communications can be exploited to boost the system throughput, or equivalently reduce the energy consumption for the same throughput and BER target. However, these cooperative transmission strategies may incur additional energy cost and system overhead. In this paper, assuming that data collectors are equipped with antenna arrays and superior processing capability, energy efficiency of relevant traditional and cooperative transmission strategies: Single-input-multiple-output(SIMO), space-time block coding(STBC), and spatial multiplexing(SM) are studied. Analysis in the wideband regime reveals that, while receive diversity introduces significant improvement in both energy efficiency and spectral efficiency, further improvement due to the transmit diversity of STBC is limited, as opposed to the superiority of the SM scheme especially for non-trivial spectral efficiency. These observations are further confirmed in our analysis of more realistic systems with limited bandwidth, finite constellation sizes, and a target error rate. Based on this analysis, general guidelines are presented for optimal transmission strategy selection in system level and link level, aiming at minimum energy consumption while meeting different requirements. The proposed selection rules, especially those based on system-level metrics, are easy to implement for sensor applications. The framework provided here may also be readily extended to other scenarios or applications.

키워드

참고문헌

  1. A. J. Goldsmith and S. B. Wicker, 'Design challenges forenergyconstrained ad hoc wireless networks,' IEEE Wireless Commun. Mag., vol. 9, no. 4, pp. 8-27, Aug. 2002
  2. S. Cui, A. J. Goldsmith, and A. Bahai, 'Energy-efficiency of MIMO and cooperative MIMO in sensor networks,' IEEE J. Sel. Areas Commun., vol. 22, no.6, pp.1089-1098, Aug. 2004 https://doi.org/10.1109/JSAC.2004.830916
  3. S. K. Jayaweera, 'An energy-efficient virtual MIMO communications architecture based on V-BLAST processing for distributed wireless sensor networks,' in Proc. 1st IEEE Int. Conf. on Sensor and Ad-hoc Communications and Networks (SECON'04), Santa Clara, CA USA, Oct. 2004
  4. H. Dai, L. Xiao ,and Q. Zhou, 'Energy efficiency of MIMO transmission strategies in wireless sensor networks,' in Proc. 2004 into Conf. on Computing, Communications and Control Technologies (CCCT), Austin, TX USA, Aug. 2004
  5. X. Li, M. Chen, and W. Liu, 'Application of STBC-encoded cooperative transmissions in wireless sensor networks,' IEEE Signal Process. Lett., vol. 12, no. 2, pp. 134-137, Feb. 2005 https://doi.org/10.1109/LSP.2004.840870
  6. W. Liu, X. Li, and M. Chen, 'Energy efficiency of MIMO transmissions in wireless sensor networks with diversity and multiplexing gains,' in Proc. 2005 IEEE Int. Conf. on Acoustic, Speech and Signal Processing (ICASSP'05), Philadelphia, PA, USA, Mar. 2005
  7. L. Zheng and D. N. C. Tse, 'Diversity and multiplexing: A fundamental tradeoff in multiple antenna channels,' IEEE Trans. Inf. Theory, vol. 49, no. 5, pp. 1073-1096, May 2003 https://doi.org/10.1109/TIT.2003.810646
  8. L. Tong, Q. Zhao, and S. Adireddy, 'Sensor networks with mobile agents;' in Proc. 2003 Military Communications Int. Symp., Boston, MA, USA, Oct. 2003
  9. A. J. Paulraj, R. Nabar, and D. Gore, Introduction to Space-Time Wireless Communications. Cambridge, UK: Cambridge Univ. Press, 2003
  10. J. G. Proakis, Digital Communications, 4th Ed. New York:McGraw-Hill, 2001
  11. S. Verdu, 'Spectral efficiency in the wideband regime,' IEEE Trans. Inf. Theory, vol. 48, no. 6, pp. 1319-1343, June 2002 https://doi.org/10.1109/TIT.2002.1003824
  12. B. Hassibi and H. Vikalo, 'On sphere decoding algorithm-Part I: Expected complexity,' IEEE Trans. Signal Process., vol. 53, no. 8, pp. 2819-2834, Aug. 2005 https://doi.org/10.1109/TSP.2005.850350
  13. M. K. Simon and M. S. Alouini, Digital Communications over Fading Channels. New York: John Wiley, 2000
  14. S. J. Grant and J. K. Cavers, 'Performance enhancement through joint detection of cochannel signals using diversity arrays,' IEEE Trans. Commun. vol. 46, no.8, pp.1038-1049, Aug. 1998 https://doi.org/10.1109/26.705404
  15. R. W. Heath Jr. and A. J. Paulraj, 'Switching between multiplexing and diversity based on constellation distance,' in Proc. Allerton Conference on Communication, Control and Computing, Sept. 2000
  16. R. W. Heath Jr.and D. J. Love, 'Dual-mode antenna selection for spatial multiplexing systems with linear receivers,' in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA USA, Nov. 2003