基于数据融合的有向传感器网络全覆盖部署∗

摘要

For the problem of the directional sensor network full coverage,a new directional sensor node deployment algorithm is proposed based on probabilistic sensing model,and the optimality of the structure is proved by theoretical deduction. In order to achieve full coverage of the target area with the least sensor nodes,the concept of the standard work direction is introduced,and the Neyman￣Pearson standard data fusion method is used. The simulation results show that the proposed method can effectively improve the network coverage,reduce the network redundancy,reduce the number of working nodes,and prolong the lifetime of the network.%针对有向传感器网络全覆盖问题，基于有向传感器节点概率感知模型提出一种新的有向传感器节点部署结构，通过理论推导，证明了该结构的最优性，引入标准工作方向的概念，使用奈曼－皮尔森准则数据融合方式，以最少的传感器节点实现目标区域全覆盖。仿真结果表明，在随机部署情况下，使用这种新型有向传感器节点调度方式，可以有效提高网络覆盖率，减少网络冗余度，减少网络工作节点个数，延长网络生存期。