针对有向异构传感器网线随机部署产生覆盖重叠和盲区这一问题,受到虚拟势场算法的启发,提出了基于虚拟势场的有向异构传感器网络覆盖优化算法(PCADH)。以有向感知模型为基础,引入重叠质心、有效质心和虚拟边界质心的概念,对有向异构传感器网络进行虚拟受力优化、节点往复运动优化和边界优化处理。仿真结果表明:算法可以快速有效地提高有向异构无线传感器网络的覆盖率。
Aiming at problem of coverage overlapping areas and blind spots that nodes deployed randomly in directional heterogeneous sensor networks,introduce a virtual potential field-based coverage algorithm for directional heterogeneous( PCADH) networks inspired by virtual potential field algorithm. Through involving concepts of overlapping centroid,effective centroid and virtual boundary centroid to the model,this algorithm carries out optimization processing of virtual force,node advance and return movements and boundary in directional heterogeneous networks based on directed perception model. Simulation results show that the proposed algorithm can improve coverage rate of directional heterogeneous sensor networks rapidly and effectively.