IEMEK Journal of Embedded Systems and Applications (대한임베디드공학회논문지)

Institute of Embedded Engineering of Korea (대한임베디드공학회)
권호 표지
DOI QR코드

DOI QR Code

Energy-Aware System Lifetime Maximization Algorithm in Multi-Hop Sensor Network

멀티홉 센서 네트워크에서 에너지 상황을 고려한 시스템 수명 최대화 알고리즘

  • Received : 2013.09.04
  • Accepted : 2013.10.02
  • Published : 2013.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This paper addresses the system lifetime maximization algorithm in multi-hop sensor network system. A multi-hop sensor network consists of many battery-driven sensor nodes that collaborate with each other to gather, process, and communicate information using wireless communications. As sensor-driven applications become increasingly integrated into our lives, we propose a energy-aware scheme where each sensor node transmits informative data with adaptive data rate to minimize system energy consumption. We show the optimal data rate to maximize the system lifetime in terms of remaining system energy. Furthermore, the proposed algorithm experimentally shows longer system lifetime in comparison with greedy algorithm.

Keywords

References

  1. M. Younis, M. Youssef, K. Arisha, "Energy-aware routing in cluster-based sensor networks," Proceedings of the 10th IEEE/ACM International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, 2002.
  2. P.J.M. Havinga, G.J.M. Smit, "Design techniques for low power systems," Journal of Systems Architecture, Vol. 46, No. 1, pp.1-21, 2000. https://doi.org/10.1016/S1383-7621(98)00057-5
  3. S. Bandyopadhyay, E. Coyle, "An energy efficient hierarchical clustering algorithm for wireless sensor networks," Proceedings of INFOCOM, Vol. 3, pp.1713-23, 2003.
  4. V.P. Mhatre, C. Rosenberg, D. Kofman, R. Mazumdar, N. Shroff, "A minimum cost heterogeneous sensor network with a lifetime constraint," IEEE Transactions on Mobile Computing, Vol. 4, No. 1, pp.4-15, 2005. https://doi.org/10.1109/TMC.2005.2
  5. X. Wu, G. Chen, S.K. Das. "Avoiding energy holes in wireless sensor networks with nonuniform node distribution," IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 5, pp.710-720, 2008. https://doi.org/10.1109/TPDS.2007.70770
  6. S. Cui, A.J. Goldsmith, "Energy-constrained modulation optimization," IEEE Transactions on Wireless Communications, Vol. 4, No. 5, pp.2349-2369, 2005. https://doi.org/10.1109/TWC.2005.853882
  7. C. Isheden, Z. Chong, E. Jorswieck, G. Fettweis, "Framework for link-level energy efficiency optimization with informed transmitter," IEEE Transactions Wireless Communications, Vol. 11, No. 8, pp.2946-2957, 2012.
  8. D. Duan, F. Qu, L. Yang, A. Swami, J.C. Principe, "Modulation selection from a battery power efficiency perspective," IEEE Transactions on Communications, Vol. 58, No. 7, pp.1907-1911, 2010. https://doi.org/10.1109/TCOMM.2010.07.080443
  9. Q. Tang, L. Yang, G.B. Giannakis, T. Qin, "Battery power efficiency of PPM and FSK in wireless sensor networks," IEEE Trans. Communications, Vol. 6, No. 4, pp.1308-1319, 2007.
  10. A. Varma, B. Jacob, E. Debes, I. Kozintsev, P. Klein. "Accurate and fast system-level power modeling: An xscale-based case study," ACM Transactions in Embedded Computing Systems, Vol. 6, No. 4, 2007.