摘要
针对无线传感器节点构成网络,提出了一种利用加权人工鱼群算法部署传感器节点的改进方法.首先将加入权重的改进方法引入标准人工鱼群算法,用以自适应地选择人工鱼的视觉和步长,其次通过人工鱼觅食、聚群和追尾等行为,优化网络覆盖区域内传感器节点;最后,以网络覆盖和迭代等作为性能评估指标,对该方法与标准人工鱼群算法获得的结果进行了比较,结果表明,加权人工鱼群算法表现更佳,可用于充分提高无线传感器网络的可扩展性.
Aiming at the network of wireless sensor nodes,this paper proposes an improved method for deploying sensor nodes using weighted artificial fish swarm algorithm.Firstly,the improved method of adding weights is introduced into the standard artificial fish swarm algorithm to adaptively select the visual and step size of the artificial fish.Then the sensor nodes in the network coverage area are optimized by the behaviors of artificial fish foraging,clustering and rear-end hunting.Finally,network coverage and iteration are used as performance evaluation indicators.The method is compared with the results obtained by the standard artificial fish swarm algorithm.The results show that the weighted artificial fish swarm algorithm performs better and can be used to fully improve the scalability of wireless sensor networks.
作者
潘日萍
黄文君
PAN Ri-ping;HUANG Wen-jun(School of Physics and Information Engineering,Fuzhou University,Fuzhou,Fujian 350116,China;College of Information and Mechanical Engineering,Ningde Normal University,Ningde,Fujian 352100,China;Fujian FuChuan Investment Co.,Ltd. Fuzhou,Fujian 350000,China)
出处
《宁德师范学院学报（自然科学版）》
2018年第4期359-363,共5页
Journal of Ningde Normal University(Natural Science)
基金
福建省中青年教师教育科研项目(JAT160538)
关键词
无线传感器网络
人工鱼群算法
权重
wireless sensor network
artificial fish swarm algorithm
weight
