无线传感器网络中复合事件栅栏覆盖问题

摘要

In wireless sensor networks (WSN), more and more people utilize barrier coverage to monitor compound events. The data of compound event barrier coverage (CEBC) comes from different types of sensors. It will be subject to multi-constraints under complex conditions in real-world application. Aiming at the merging problem of compound event confidence, a computational model based on joint probability density was proposed. In order to solve the optimization problem of compound event barrier coverage under multiple complex constraints, an active set multiplier policy (ASMP) was proposed. The algorithm can calculate the coverage ratio efficiently and allocate the sensor resources reasonably in compound event barrier coverage. The algorithm can simplify complex problems to reduce the computational load of the network and improve the efficiency of the network. The simulation results demonstrate that the ASMP algorithm is more efficient in the allocation of sensor resources and network optimization.%在无线传感器网络中,越来越多的人利用栅栏覆盖去监控复合事件.复合事件栅栏覆盖(CEBC,compound event barrier coverage)的数据来源于多种类型的传感器,在实际应用时会受到许多复杂条件的约束.针对复合事件置信度的合并问题,提出基于联合概率密度的计算模型.针对存在多个复杂约束的复合事件栅栏覆盖优化问题,提出了一种基于有效策略集的乘子法(ASMP,active set multiplier policy),该算法可以有效计算覆盖率,降低网络的计算负载,提高网络的运行效率并在复合事件栅栏覆盖中合理分配传感器资源.仿真实验证明了ASMP算法在传感器资源分配和网络优化方面的高效性.