TDMA scheduling in wireless sensor networks using hybrid of genetic algorithm and particle swarm optimization

Today, wireless sensor networks encompass a wide volume of applications. In these networks, nodes consist of limited energy. Therefore, we must be able to save in their energy usage. Protocol TDMA in these networks is a suitable one for saving nodes energy. In this protocol, Time divided into time slots with equal length. Purpose of TDMA scheduling is time slots assignment into nodes in a way that minimize total number of time slots for sending their data packages and energy consumption. In this study, by hybrid of genetic algorithm and particle swarm optimization algorithm, this problem is optimized. Three algorithms are used for comparisons. It is shown that proposed algorithm is better than two algorithms on a total time and energy consumption.