An Energy-Efficient Transmission Strategy for Wireless Sensor Networks

무선 센서 네트워크에서 에너지 효율적인 전송 방안에 관한 연구

  • 판반카 (경희대학교 전자전파공과) ;
  • 김정근 (경희대학교 전자전파공학과)
  • Published : 2009.06.30

Abstract

In this work we propose an energy-efficient transmission strategy for wireless sensor networks that operate in a strict energy-constrained environment. Our transmission algorithm consists of two components: a binary-decision based transmission and a channel-aware backoff adjustment. In the binary-decision based transmission, we obtain the optimum threshold for successful transmission via Markov decision process (MDP) formulation. A channel-aware backoff adjustment, the second component of our proposal, is introduced to favor sensor nodes seeing better channel in terms of transmission priority. Extensive simulations are performed to verify the performance of our proposal over fading wireless channels.

본 논문에서는 무선 센서 네트워크에서의 에너지 효율적인 전송방안을 제안하고 이에 대한 이론적 분석을 제시하고자 한다. 본 논문에서 제안하는 전송기법은 채널 상태가 상대적으로 좋을 때만 전송을 시도하는 opportunistic transmission에 기반한 이진 결정 (binary-decision) 기반 전송이다. 이진 결정 기반 전송에서는 Markov decision process (MDP)를 이용하여 성공적인 전송을 위한 최적의 채널 임계값을 도출하였다. 다양한 시뮬레이션을 통해 제안하는 전송기법의 성능을 에너지 효율성과 전송율 측면에서 분석하였다.

Keywords

References

  1. I. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A survey on sensor networks." IEEE Commun. Mag.,vol. 40, no. 8 pp. 102-114, Aug. 2002
  2. W. Stark, H. Wang, A. Worthen, S. Lafortune and D. Teneketzis, "Low-energy wireless communication network design," IEEE Wireless Commun., vol 9, no. 4, pp. 60-72, Aug. 2002
  3. A. Ephremides, "Energy concerns in wireless networks," IEEE Wireless Commun., vol. 9, no. 4, pp 48-59, Aug. 2002
  4. R. Min, M. Bhardwaj, S. H. Cho, N. Ickes, E. Shih, A. Sinha, A. Wang and A. Chandrakasan, "Energy-cenric enabling tecumologies for wireless sensor networks." IEEE Wireless Commun., vol. 9, no.4, pp. 28-39, Aug. 2002
  5. A. J. Goldsmith and S. B. Wicker, "Design challenges for energy-constrained ad hoc wireless networks." IEEE Wireless Commun., vol. 9, no. 4, pp. 8-27, Aug.2002
  6. S. Ci, H. Sharif and K. Nuli, "Study of an adaptive frame size predictor to enhance energy conservation in wireless sensor networks." IEEE J. Select. Areas in Commun., vol.23, no. 2, pp. 282-292, Feb. 2005
  7. J. Wang, H. Zhai and Y. Fang, "Opportunistic packet scheduling and media access control for wireless LANs and multi-hop ad hoc networks." in Proc. WCNC'04, vol. 3, pp. 1234-1239, Mar. 2004
  8. A. T. Hoang and M. Motani, "Buffer and channel adaptive transmission over fading channels with imperfect channel state information." in Proc. WCNC'04, vol. 3, pp.1891-1896, Mar.2004.
  9. J. Pavon and S. Choi, "Link adaptation strategy for IEEE 802.11 WLAN via received signal strength measurement," in Proc. ICC '03, vol.2, pp. 1108-1113, 2004
  10. G. Holland, N. H. Vaidya and P. Bahl, "A rate-adaptive MAC protocol for multi-hop wireless networks," in Proc. MOBICOM 2001, pp. 236-251, Jul.2001
  11. IEEE Std. 802.11, "Wireless LAN Medium Access Control(MAC)and Physical Layer(PHY) Specifications,"Jun.1999
  12. M. L. Puterman, Markov decision processes: discrete schochastic dynamic programing. Hoboken, New Jersey:John Wiley & Sons, Inc, 1998
  13. H. S. Wang and N. Moayeri, "Finite-state Markov channel-a usefrl model for radio communication channels," IEEE Trans. Veh. Technol., vol.44, no. 1, pp. 163-171, Feb. 1995 https://doi.org/10.1109/25.350282
  14. R.S. Sutton and A. G. Barto, Reinforcement learing: an intorduction. Cambridge: MIT Press, 1998.