GWO Optimized Clustering Probability and Fuzzy Logic based Clustering in WSN

Sensor nodes in wireless sensor network (WSN) are powered by a battery. Sensor nodes consume the battery power mainly in the tasks like data transmission, data reception, and sensing. Sometimes it is impractical to replace a battery in WSN because humans can't reach. Therefore once energy or computational resources are consumed, immediate recovery of these resources is a complex task so it is necessary to make use of battery power efficiently to increase the lifetime of the sensor nodes that will also increase the lifetime of the whole network. To make WSN energy efficient and to increase the lifetime of the network we design a Fuzzy Logic based clustering approach in a heterogeneous environment. Grey Wolf Optimized (GWO) clustering probability is also proposed so as to find a method which increases the lifetime and reduces the energy consumption of the network. The execution and demonstration of this work are performed with the help of MATLAB 2014a. The performance comparison metrics are; network lifetime, network throughput and number of alive nodes.