無線感測網路分散式估計之節能循序訊息累積方法研究

Energy-Efficient Sequential Information Accumulation Schemes for Distributed Estimation in Wireless Sensor Networks

陳建佑(Chien-Yu Chen)

指導教授 ： 蔡育仁

國立清華大學/電機資訊學院/通訊工程研究所/博士(2013年)

摘要

在無線感測網路作分散式估計時，使用連續訊號累積方法使得節省能量變得更有可能。如何去減少能量的消耗以及如何去增加估計的效能對於在無線感測網路作分散式估計時，是很重要的議題。我們藉由把感測點分成兩組，一組是比較可靠的，我們把連續訊號累積方法稍作修改使其變成分組式連續訊號累積方法。接著，我們在提出的方法中加入權重向量的概念，因為此項設計，我們可能達到能量的節省或者增加估計的效能。於是我們分別再設計了兩種方法，節能取向分組式連續訊號累積方法與提升效能取向分組式連續訊號累積方法。

關鍵字

估計 ； 無線感測網路 ； 量化

並列摘要

Sequential information accumulation (SIA) is a technique that makes energy conservation possible for distributed estimation in wireless sensor networks. How to reduce energy consumption and how to improve estimation performance are the main topics for distributed estimation in wireless sensor networks. By separating sensor nodes into two groups, one is more reliable than the other, we modify SIA scheme into SIA with group separation (SIA-GS) scheme. Then, by introducing the weighting vector to the SIA-GS scheme, we can achieve both targets, energy saving and performance improvement. Thus, we propose two schemes, SIA-GS for performance improvement (SIA-GS-PI) scheme and SIA-GS for energy saving (SIA-GS-ES) scheme, just by adjusting the weighting factors.

並列關鍵字

estimation ； wireless sensor networks ； quantization

參考文獻

[1] Y. Li, M. T. Thai, and W. Wu, Wireless Sensor Networks and Applications, Springer, 2008, pp.331–347.

[3] R. Madan, S. Cui, S. Lall, and A. Goldsmith, “Modeling and optimization of transmission schemes in energy-constrained wireless sensor networks,” IEEE/ACM Trans. Networking, vol. 15, no. 6, pp. 1359–1372, 2007.

[4] J. Li and G. AlRegib, “Function-Based Network Lifetime for Estimation in Wireless Sensor Networks,” IEEE Signal Processing Lett., vol. 15, pp. 533–536, 2008.

[5] I. Akyildiz, W. Su, Y. Sankarsubramaniam, and E. Cayirci, “Wireless sensor networks: A survey,” Comput. Netw., vol. 38, pp. 393–422, Mar. 2002.

[6] Wald, Sequential Analysis. New York: Wiley, 1947.