Coverage Control Strategy Based on Multi-Objective optimization of Immune Clone in Wireless Sensor Networks

In order to solve the problem of optimal network coverage in wireless sensor network area monitoring, the artificial immune principle is introduced into the network coverage, and the binary sensing model is established. With the target radius and coverage rate, the immune cloning multi-objective algorithm is used to solve the model. The results were compared to genetic algorithms. The experimental results show that the immune clone multi-objective optimization algorithm is more reasonable for the location of sensor locations in the same monitoring area, avoiding coverage redundancy, saving energy and improving the coverage of wireless sensor networks.