一种感知概率模型下的有向传感器栅栏覆盖增强算法

Sensing Probabilistic Algorithm for Fence Coverage Enhancement of Directed Sensors

有向传感器栅栏覆盖是传感器网络覆盖控制的研究热点之一.提出一种有向传感器概率栅栏覆盖增强算法(FDSAD).该算法采用感知概率模型,调度部署时根据对整条栅栏感知概率的下限,确定概率阈值,从而进一步决定每个节点的临界感知距离,并按照从左至右的顺序依次完成节点部署,形成概率栅栏覆盖.仿真实验结果表明,该算法使用较少的节点形成概率栅栏的同时,能明显降低节点部署过程中的能耗,并兼顾了每个节点的能耗均衡,提高了栅栏有效工作时间,且形成栅栏后栅栏的实际感知概率明显大于设定的概率阈值.

Directional sensor coverage is one of the hot topics in sensor network coverage control. In this paper, we propose a fencecoverage enhancement of directional sensor coverage { FDS-AD） to improve the probabilistic fence coverage of directional sensor. Theproposed algorithrn uses the perceptual probability model to determine the probability of critical values according to the minimum re-quirements of the probability of perception, and further determines the critical perceptive distance of each node. This algorithm is de-ployed by the left-to-right order to form the fence overlay. The simulation results show that the proposed algorithm can save energyconsumption during node deployment by using fewer nodes to form the probability fence, balance the energy consumption of each nodeas much as possible,and improve the fence effective working time. After the formation of the fence,its actual perceived ability can al-ways be significantly greater than its minimum requirements.