基于改进蚁群优化算法的无线传感器网络路由研究  

Research on improved ACO-based routing for wireless sensor networks

作　　者：尚兴宏[1] 钱焕延[1] 高德民[1] 

机构地区：[1]南京理工大学计算机科学与技术学院,江苏南京210094

出　　处：《传感器与微系统》2012年第9期36-38,共3页Transducer and Microsystem Technologies

基　　金：国防科工委应用基础资金资助项目

摘　　要：无线传感器网络为能量受限系统,为了促使网络节点能量消耗相对均衡,将蚁群优化(ACO)算法应用于无线传感器网络的路由选择,提出一种基于能量均衡的无线传感器网络路由算法。该算法将节点能量作为转移概率规则启发因子,通过计算转移概率和适应度值找到最优路径。仿真结果表明:该算法可以显著减低网络总能耗,从而延长无线传感器网络的生命周期。Wireless sensor networks （WSNs）is energy limited system,in order to balance the energy consumption of nodes, energy-balance routing based on ant colony optimization（ACO） algorithm is proposed. In this algorithm, probabilistic decision rule are constructed with the energy of nodes, and the optimal path is found by calculating the probability and fitness value. Simulation results show that this algorithm can obviously reduce the energy consumption, and prolong the lifetime of WSNs.

关 键 词：无线传感器网络 网络路由 蚁群优化算法 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]