Distributed Multiple Coverage Study Against Boundary Region Based on Probability Perceptual Model

Boundary occupies an important and outstanding place in wireless sensor network monitoring and warning application. In order to improve the detection probability,distributed multiple coverage algorithm is discussed under the condition of probability perceptual node model. The entire boundary region can be divided into countable smallest regional block based on the relationship between the node sensing disc. Then this article carries out a distributed multiple coverage study to this boundary region by using an improved greedy algorithm. At last,in non ideal conditions,by means of simulation results,the article verifies that multiple coverage of the boundary region can improve the coverage probability in the premise of energy efficiency.