New Method for Weighted Coverage Optimization of Occlusion-Free Surveillance in Wireless Multimedia Sensor Network

In this paper, characteristics of weighted coverage model for wireless multimedia sensor networks are analyzed, and the distribution of orientation and location of occlusion-free surveillance is discussed. Subsequently, the concept of weighted coverage for different sub-regions is provided, and a novel coverage enhancement algorithm of occlusion-free surveillance model based on genetic algorithm is proposed. Then, the discrete model of enhancement algorithm is presented for simplifying computation and optimization. The results of experiments and simulations show that the proposed algorithm can optimize the weighted coverage rate of occlusion-free surveillance in WMSN, and make coverage rate more stable when obstacles are increased.