Area coverage estimation model for directional sensor networks
Zhimin Liu, Weijia Jia, Guojun Wang · International Journal of Embedded Systems · 2018
Recently, directional sensor networks (DSNs) have received a great deal of attention owing to their wide range of applications in different fields. A directional sensor has a smaller angle of sensing range compared to an omni-directional sensor. Coverage is one of the fundamental problems of directional sensor networks at present, which reflects how well the environment is monitored. In this paper, we propose a coverage estimation model to estimate coverage problem with boundary effect. In order to guide initial deployment of DSNs and better meet requirements with certain initial coverage probability effectively, a novel probability-based area coverage estimation model with boundary effect, named PCPMB, is proposed. Simulation results show that our proposed model outperforms the previous proposed model without boundary effect.