POWER CONSUMPTION OPTIMIZATION ANALYSIS BASED ON BERKELEY-MAC PROTOCOL USING TAGUCHI AND ANOVA METHODS FOR WSN

Wireless sensor network (WSN) consists of sensor nodes is used to gather information about a physical object or process. On WSN, the sensor nodes deploy in a large region with the harsh environment and limited capacity power. Due to the adhered reason, 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 the literature, there are many efforts paid to design and improve the protocols for MAC layer to conserve power consumption. However, few efforts are paid for optimizing the existing protocols. This paper focus in Berkeley – MAC protocol optimizing power consumption and network performance by Taguchi method. Taguchi method is a statistical method to optimize the process and improve the quality. Moreover, Taguchi methods used to optimize the energy consumption for B-MAC. Simulation experiments are carried out on the discrete event simulator OMNET++ for the purposes of this research paper. The obtained results show the effect of the B-MAC parameters protocols toward the energy consumption.