Power Reduction of Wireless Sensor Networks Using Ant Colony Optimization
Power consumption is one of the most important problems for wireless sensor networks because of the battery limitation in each sensor. This paper presents an ant colony optimization- (ACO-) based routing algorithm to reduce power consumption. First, a grade table is built and referred to generate several possible routing paths. Then, the ACO explores these paths to reduce the power consumption of the nodes. The simulations indicate that the proposed algorithm obtains more balanced transmission among the nodes and reduces the power consumption of the routing.
ant colony optimization wireless sensor network power reduction
Hong-Chi Shih Shu-Chuan Chu John F. Roddick Mao-Hsiung Hung Jeng-Shyang Pan
Dept. of Electronic Engineering, National Kaohsiung University of Applied Sciences Kaohsiung, Taiwan School of Computer Science, Engineering and Mathematics, Flinders University of South Australia Adel Innovative Information Industry Research Center (IIIRC), Shenzhen Graduate School, Harbin Institute
国际会议
International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
太原
英文
464-467
2010-09-26(万方平台首次上网日期,不代表论文的发表时间)