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网络寿命是衡量无线传感器网络性能的一项重要指标.无线传感器网络覆盖空洞问题严重影响了网络寿命.对此,提出一种基于C-V模型的网络覆盖空洞探测与修复方法.首先采用基于奈曼-皮尔逊准则的感知模型计算出监控区域每一个位置的节点联合探测概率;然后基于改进的C-V模型,提出一种新的覆盖空洞探测方法,有效地计算出空洞的数量和大小;最后,采用基于改进的粒子群算法实现覆盖空洞的修复.仿真结果表明,所提出的算法在保证无线传感器网络覆盖率的同时可以提高网络寿命.
Network life is a measure of wireless sensor network performance is an important indicator of wireless sensor network coverage problems seriously affect the network life.According to CV model of network coverage hole detection and repair method.Firstly, based on Neiman - Based on the improved CV model, a new coverage hole detection method is proposed, which can effectively calculate the number and size of holes. Finally, based on the Pearson’s perceptual model, the joint detection probabilities of each location in the surveillance area are calculated. Finally, The improved Particle Swarm Optimization (PSO) algorithm realizes the coverage hole repairing.The simulation results show that the proposed algorithm can improve the network lifetime while guaranteeing the coverage of the WSN.