一种有向传感器网络强栅栏覆盖算法

根据有向传感器节点感知特性,提出一种有向传感器节点模糊感知模型,以此为基础建立了模糊数据融合规则,减少网络中的不确定区域;就有向传感器网络强栅栏覆盖问题,提出一种基于粒子群的有向传感器网络强栅栏覆盖增强算法,将n维求解问题转化为一维求解,提高了算法收敛速度。仿真结果表明,对感知方向可连续调节的有向传感器网络节点,在随机部署情况下与现有算法对比,本算法对目标区域能有效的形成强栅栏覆盖,且具有较快的收敛速度,延长网络生存期。

Strong barrier coverage algorithm for directional sensor network

A fuzzy perception model is proposed to the directional sensor nodes based on the sensing characteristics of the nodes,and also the fuzzy data fusion rule is built to reduce the network uncertain region.Aiming at the problem of directional sensor network strong barrier coverage,a directional sensor network strong barrier coverage enhancement algorithm based on particle swarm optimization is proposed.The convergence rate of the algorithm is improved through the n-dimensional problem be transformed into one-dimensional problem.The simulation results show that,under random deployment,the perception direction of sensor nodes can be adjusted continuously.Compared with the existing algorithms,the proposed algorithm can effectively form strong barrier coverage to the target area,has a faster convergence rate,and prolongs the network lifetime.