苏兵, 黄娟. 一种基于蚁群算法的WSN能效均衡路由[J]. 微电子学与计算机, 2012, 29(11): 50-52,57.
引用本文: 苏兵, 黄娟. 一种基于蚁群算法的WSN能效均衡路由[J]. 微电子学与计算机, 2012, 29(11): 50-52,57.
SU Bing, HUANG Juan. Energy Balancing Routing Algorithm Based on ACO for Wireless Sensor Networks[J]. Microelectronics & Computer, 2012, 29(11): 50-52,57.
Citation: SU Bing, HUANG Juan. Energy Balancing Routing Algorithm Based on ACO for Wireless Sensor Networks[J]. Microelectronics & Computer, 2012, 29(11): 50-52,57.

一种基于蚁群算法的WSN能效均衡路由

Energy Balancing Routing Algorithm Based on ACO for Wireless Sensor Networks

  • 摘要: 为了解决无线传感器网络的能耗不均衡问题,提出了一种基于蚁群算法(ACO)的自适应能量均衡路由算法(EBEA).该算法将节点的能量密度融入到启发因子中,利用蚂蚁的动态适应性在全局范围内寻求最优路径让网络达能量均衡的效果.仿真实验结果表明,与LEACH算法相比,该算法能够均衡整个网络的能耗,并有效的避免了网络分割或者“能量空洞”现象,延长网络的生命周期.

     

    Abstract: In order to solve the problem of unbalanced energy consumption of wireless sensor networks,in this paper,we propose an energy balance adaptive routing algorithm based on Ant Colony Optimization(ACO).It takes energy density of the node into the heuristic factor and utilizes the dynamic adaptability of ants to find the optimal path,balancing energy consumption of the whole network.Simulation results show that,comparing with the LEACH algorithm,it balances energy consumption of the whole network and avoids the problem of network partition or the "energy hole" phenomenon effectively and extends the network lifetime effectively.

     

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