The Comparison of Data Transmission in Wireless Sensor Network using Different Optimization Algorithm

In order to adapted the emerging modern world, the use of various techniques in the Wireless Sensor Network (WSN) to make data transmission faster. Wireless sensor network is applicable for specific network especially data transmission and energy saving process. WSN employs a variety of optimization technique to sense and communicate the surrounding environment and also used to avoid time delay in during the data transmission. In this paper, three most important optimization algorithms are compared Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO) and Gray Wolf Optimization (GWO). The goal of the paper is to compare different performances and finding cluster head selection for optimal path data transmission in wireless sensor network.