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基于蚁群优化的无线传感器网络能耗均衡路由算法
引用本文:王青正,闵林,郭拯危a.基于蚁群优化的无线传感器网络能耗均衡路由算法[J].计算机应用研究,2009,26(12):4716-4718.
作者姓名:王青正  闵林  郭拯危a
作者单位:1. 河南大学计算机与信息工程学院,河南,开封,475004
2. 河南大学网络中心,河南,开封,475004
摘    要:针对无线传感器网络中节点能量受限的特点,将蚁群优化算法(ACO)应用于无线传感器网络,同时考虑了通信路径长度和节点剩余能量等因素,提出了具有能量意识的无线传感器网络路由算法,从多方面解决了节点间的能耗不均衡问题。该算法在OMNET++平台下仿真结果表明,与Ant-Net、ACRA算法相比在能耗不均衡和传输延迟等方面有了较大改进,实现了全网节点的能耗均衡,有效延长了网络生命期,减小了传输时延。

关 键 词:无线传感器网络  蚁群优化算法  OMNET++  能量意识  生命周期

Energy balance routing algorithm based on ant colony optimization in wireless sensor networks
WANG Qing-zheng,MIN Lin,GUO Zheng-weia.Energy balance routing algorithm based on ant colony optimization in wireless sensor networks[J].Application Research of Computers,2009,26(12):4716-4718.
Authors:WANG Qing-zheng  MIN Lin  GUO Zheng-weia
Affiliation:(a.College of Computer & Information Engineering,b.Network Center, Henan University, Kaifeng Henan 475004, China)
Abstract:As the limitation of energy of wireless sensor network node,this paper introduced the ant colony optimization algorithm(ACO),proposed a power-aware routing algorithm(PARA) based on ant colony optimization, it considered the communication distant of routing and the rest energy of communication sensors to solute the energy unbalance from various aspects.The simulations in OMNET+ + show that gets obvious improves against Ant-Net and ACRA in the imbalance of energy consumption,transmission delay, balancing energy consumption between nodes and prolonging network's life period.
Keywords:wireless sensor network(WSN)  ant colony optimization algorithm  OMNET++  power-aware  life period
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