Summary

Proceedings of the 2013 International Symposium on Nonlinear Theory and its Applications

2013

Session Number:B3L-B

Session:

Number:302

A Power Optimization Method in Large-Scale Wireless Sensor Networks Using a Two-Stage Meta-Heuristic Algorithm

Ryohei Sato,  Hidehiro Nakano,  Arata Miyauchi,  

pp.302-305

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.2.302

PDF download (584.2KB)

In this paper, we propose a two-stage optimization method for the purpose of efficient flooding in wireless sensor networks. First, the forwarding node sets are selected by using a chaotic neural network. Then, the forwarding power values of each selected forwarding node are optimized by using an artificial bee colony algorithm. Using this method, it is possible to reduce the total energy consumption in the whole network, and to realize load balancing to each sensor node. In the numerical simulations, the effectiveness of the proposed method is verified.

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