Simulation Analysis of the Coverage Blind Spots Detection in Sensor Networks Full text in English

摘要

In the research process of the coverage blind spots detection methods in wireless sensor networks, when the current methods are used for detection, the calculation burden is heavy, and a wide range of wireless sensor network cannot be detected. To solve the above problems, a coverage blind spots detection method in wireless sensor networks based on an improved distributed algorithm is proposed in this paper. The method forms a perceptual model of wireless sensor networks based on sensor nodes of different physical characteristics, the perceptual area intensity of wireless sensor networks is defined, all the boundary nodes of the coverage blind spots are identified in wireless sensor networks, the distributed algorithm is merged with the geometric theory, the boundary arcs and boundary endpoints of the coverage blind spots in wireless sensor networks are computed, the coverage blind spots detection scheme in wireless sensor networks based on the improved distributed algorithm is implemented. Simulation experiments have proved that the coverage blind spots detection method in wireless sensor networks based on the improved distributed algorithm can effectively increase the detection accuracy of blind spots of area coverage.