Performance of Mobile Base Station Using Genetic Algorithms in Wireless Sensor Networks

Wireless sensor network is composed of large number of sensor nodes and base station. The sensor node usually is irreplaceable and powered by limited power supply. Taking the fact into consideration, a network should operate with minimum energy as possible to increase lifetime of network for improving the overall energy efficiency. In this work, we proposed a protocol for mobile base station using Genetic Algorithms to find optimal position for base station from virtual base station locations called predetermined locations of base station. Simulation results for performance of the proposed protocol in term of normalized network lifetime shows that the larger size of network field, the lower value for normalize lifetime. The results also show that there are minimum numbers of predetermined locations of base station required for larger network field in order for sensor nodes able to transmit their data to base station.