Solving heterogeneous coverage problem in Wireless Multimedia Sensor Networks in a dynamic environment using Evolutionary Strategies

Wireless sensor networks have become a rapidly developing research area that offers some ways of monitoring the environment and bridging the gap between the physical and virtual world. Visual Sensor Networks consist of a large number of low-power camera nodes to monitor a general environment with some targets in it. One of the most important problems in this context is energy conservation and covering the entire targets. This paper uses Evolutionary Strategy as a method based on population gradual adjustment by environmental conditions to solve the heterogeneous coverage problem in Wireless Multimedia Sensor Networks (WMSNs) in a dynamic environment by mobile targets with minimum energy consumption.