基于鱼群算法的无线传感器网络转发能效研究

Research on the Energy Efficiency of Wireless Sensor Network Based on Fish Swarm Algorithm

摘要: 针对无线传感器网络的能耗问题，基于概率神经网络和鱼群算法提出了一种刻画有效转发能效比的方法（Energy Efficiency based on Probability neural network and Fish swarm，EEPF）。该方法首先利用概率神经网络来实现转发节点的聚类，并且通过鱼群的四种行为来刻画有效转发距离和转发能耗，以此计算网络的有效转发能效比。仿真实验结果表明，相比于其他算法，EEPF算法具有较好的适应性。

Abstract: In order to mitigate the energy consumption of wireless sensor network,a novel measurement method for energy efficiency ratio EEPF (Energy Efficiency based on Probability neural network and Fish swarm) is proposed by probability neural network and fish swarm algorithm.In this method,the node is classified by probability neural network,and the efficiency forwarding distance and energy consumption are dipected by four behavior of fish swarm.So,energy efficiency ratio is calculated in network.The result shows that,compared other algorithm, EEPF algorithm has better adaptability.