Optimal Energy Consumption to Extend the Lifetime of Wireless Sensor Networks

Abstract

Recent advances in Wireless Sensor Networks (WSNs) enable us to develop minimum energy consumption clustering algorithms. The WSNs can be used for various applications like battle field, disaster areas and military applications. The most important issue in WSNs is the limited battery of sensor nodes. When sensor nodes are placed in a field, it is difficult to replace their batteries. To minimize the energy consumption of nodes, WSNs introduce various protocols and algorithms. Among the techniques, the genetic based energy efficient clustering algorithms are used to minimize the energy consumption of nodes and to extend the network lifetime. Genetic Algorithm (GA) is an adaptive method for search and optimize problems and the genetic process is based on biological organisms. Clustering is an effective way for reducing energy consumption of a sensor nodes as well as the cost of transmission. The proposed genetic algorithm based clustering protocol provide better efficiency in terms of delay, energy consumption. Here we simulated the proposed protocol by using network simulator ns2.34 and compared with other existing protocols.