Wireless Multimedia Sensor Network Coverage Optimization Based on Ant Colony Algorithm and PSO Algorithm

To solve the problem of low energy utilization ratio and coverage blind area in the wireless multimedia sensor networks when nodes are randomly deployed, An algorithm which fusion by artificial fish swarm algorithm and particle swarm optimization algorithm is proposed. This algorithm combines the fast convergence of the artificial fish swarm algorithm and the search efficiency of the particle swarm algorithm to apply to WMSN coverage. Firstly the artificial fish swarm algorithm is used to adjust the distribution of sensor nodes, so that the nodes are distributed evenly, then the particle swarm optimization algorithm is used to adjust the position and direction of the sensor nodes, so that the distribution of the nodes in the network is reasonable, so as to maximize the coverage of the sensor nodes, to make up for the lack of convergence of artificial fish school algorithm and the shortcomings of premature convergence of particle swarm. Experimental results show that the proposed algorithm is more advantageous in improving the performance of coverage optimization.