摘要
针对无线传感器网络节点覆盖容易出现空洞和盲区的问题,提出一种基于改进人工鱼群算法的无线传感器网络覆盖优化算法.首先构建网络节点的信任度模型,进行节点轮换调度修复路由,然后采用改进人工鱼群算法进行无线传感器网络节点的自适应定位寻优,以人工鱼群优化的节点分布模型重构无线传感器网络(WSN)节点覆盖连通图,实现优化网络覆盖.仿真实验结果表明,利用覆盖优化算法进行WSN网络节点设计,明显地改善了网络节点的覆盖质量,提高了无线传感器网络的安全性能.
In view of the wireless sensor network node coverage holes and blind prone,a coverage optimization algorithm for wireless sensor networks based on improved artificial fish swarm algorithm is proposed.Firstly,the trust degree model of network node is constructed to repair routing by node rotation scheduling,and then improved artificial fish swarm algorithm is used to find the optimal location of wireless sensor network nodes while node distribution model of artificial fish swarm optimization is used to reconstruct the coverage connectivity graph of wireless sensor networks（WSN）and to optimize network coverage.The simulation results show that,the proposed algorithm can significantly improve the coverage quality of network nodes,and improve the security performance of the wireless sensor network.
出处
《内蒙古师范大学学报（自然科学汉文版）》
CAS
北大核心
2016年第4期480-483,共4页
Journal of Inner Mongolia Normal University(Natural Science Edition)
基金
内蒙古自然科学基金资助项目(2014MS0616)
内蒙古自治区高等学校科学技术研究项目(NJZY14091)
关键词
无线传感器网络
传感器节点
覆盖优化
人工鱼群算法
wireless sensor network
sensor node
coverage optimization
artificial fish swarm algorithm
