Differential Evolution (de) Algorithm to Optimize Berkeley - Mac Protocol for Wireless Sensor Network (wsn)

The Energy efficient being the main constraint for wireless sensor networks (WSN) became an important area of interest for various researches in WSN. A lot of work on conservation power consumption at a different layer of protocols is present till date, of which energy conservation at a Medium access control (MAC) layer is catching a lot of attention. Generally, The energy consumption it is a main critical factor affecting the operational lifetime of individual nodes and the entire network. The energy consumption in medium access control (MAC) for wireless sensor network (WSN) affected by many reasons collision, overhearing, Idle Listening, Control Overhead. The optimizing power consumption is a challenge to prolong lifetime network. In this paper, we minimize the power consumption of the B-MAC protocol for wireless sensor network (WSN) by using Differential Evolution (DE) algorithm. Simulation experiments are carried out on the discrete event simulator OMNET++ for the purposes of this research paper. Moreover, the experimental analysis shows the improvement the energy consumption of (DE-BMAC) can be conserved about (58.6%) more than B-MAC without affect the network performance.