Increase the Lifetime of Wireless Sensor Networks by Minimizing Energy Consumption When Selecting Cluster Head uses Meta- Heuristic Algorithms

A wireless sensor network, consist of a large number of the sensor nodes, which are distributed in a particular area, that each of them has an ability to collect information from the environment and sending data collected to the base station.Wireless sensor networks are severely limited resources, limited resources, including the amount of energy, short communication range, low bandwidth,limited memory and processing in each sensor. Hence the use of clustering algorithm that would reduce energy consumption and leads to bandwidth appropriate efficiency, is critical. In this paper ,we are studying LEACH, and ELEACH algorithms. And then we proposed a clustering approach using PSO(Particle swarm optimization) meta heuristic algorithm. The proposed algorithm is examined by simulation of MATLAB that simulation results in heterogeneous environments show that the proposed algorithm improved the network lifetime by more or less 75% than LEACH protocol, and approximately 55% compared to ALEACH.