Genetic algorithm based scheduling method for lifespan extension of a wireless sensors network

The problem of Keeping a wireless sensor network a life for maximum possible monitoring time, considering its limited energy source is widely addressed. Linear programming, genetic algorithms and other optimization methods are used on disjoint set covers to maximize the lifetime. This paper provided a genetic algorithm-based secluding method to generate the solution with the maximum possible lifetime. A simple way of chromosome creation is used for problem encoding and several crossover and mutation strategies are investigated. The extended lifetime is obtained from different operation situations, considering a number of sensors with different initial energy and different energy consumption rate. The simulation based on the proposed method is coded using a C programming language.