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DOI:
计算机系统应用英文版:2013,22(4):104-107
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移动WSN中基于分簇的自适应MPACO路由算法
(上海理工大学 控制理论与控制工程系, 上海 200090)
Multipath Ant Colony Optimization Adaptive Routing Protocol in Mobile-WSN Based on Clustering
(Control Theory and Control Engineering Department, University of Shanghai for Science & Technology, Shanghai 200090, China)
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Received:September 16, 2012    Revised:October 25, 2012
中文摘要: 为节省能量开销, 延长无线传感网络生存周期, 通过对蚁群算法的研究, 提出了一种无线传感网络中基于蚁群算法的剩余能量自适应优化算法, 并通过仿真研究与无线传感器网络中的EEABR算法进行了网络生存状态比较. 实验结果表明, 本文研究的剩余能量自适应蚁群算法能够达到网络优化从而实现延长网络生命周期的目的.
Abstract:To save energy costs and extend the life span of the wireless sensor networks. In this paper, ant colony algorithm, proposed the idea of an optimized ant colony algorithm in wireless sensor networks, and campared with EEABR algorithm in wireless sensor networks, the network survivability status. The experimental results show that the use of improved ant colony algorithm for network optimization can be achieved in order to extend the network life span.
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基金项目:国家自然科学基金(61202376);上海市教委“晨光计划”(10CG49)
引用文本:
孟其琛,邬春学,毕春霞.移动WSN中基于分簇的自适应MPACO路由算法.计算机系统应用,2013,22(4):104-107
MENG Qi-Chen,WU Chun-Xue,BI Chun-Xia.Multipath Ant Colony Optimization Adaptive Routing Protocol in Mobile-WSN Based on Clustering.COMPUTER SYSTEMS APPLICATIONS,2013,22(4):104-107