摘要
在无线传感器网络中,带有移动节点的混合网络引起学者的兴趣。为了解决混合无线传感器网络中的网络有效覆盖问题和移动节点的优化部署问题,提出一种新的混合无线传感器网络覆盖优化算法(IVABC)。算法基本思想是对固定节点进行Voronoi多边形划分;利用划分结果分析固定节点的覆盖盲区;利用基于反向学习策略的蜂群算法优化部署移动节点;在网络覆盖率最优化的同时,有效减少网络迭代次数。
In order to solve the problem of network effective coverage and mobile node deploying optimization in hybrid wireless sensor networks with mobile nodes,a new hybrid wireless sensor networks coverage optimization algorithm,improved Voronoi ABC (IVABC)is proposed.The basic idea of the algorithm is to divide Voronoi polygon of fixed nodes,coverage blind area of the fixed node is analyzed by using the partition result.Using the bee colony algorithm based on the reverse learning strategy for optimization and deployment of mobile nodes;the number of network iterations is effectively reduced while the network coverage is optimized.
作者
张军
邵晓倩
侯向丹
ZHANG Jun;SHAO Xiao-qian;HOU Xiang-dan(School of Computer Science and Engineering,Hebei University of Technology,Tianjin 300401,China;Key Laboratory of Big Data Computing of Hebei Province,Tianjin 300401,China)
出处
《传感器与微系统》
CSCD
2018年第12期148-149,152,共3页
Transducer and Microsystem Technologies
基金
河北省物联网数据采集与处理工程技术研究中心基金资助项目
关键词
混合无线传感器网络
网络覆盖优化
Voronoi多边形
人工蜂群算法
反向学习策略
hybrid wireless sensor networks
network coverage optimization
Voronoi polygon
artificial bee colony(ABC)algorithm
reverse learning strategies
