An Improved Routing Schema with Special Clustering using Hybrid GA-ACO-PSO for Heterogeneous Wireless Sensor Network

Abstract

According to the design of the routing protocol for self-organizing WSN, energy efficiency and energy balance are critical investigation questions. Many authors use clustering algorithms to achieve energy effectiveness and energy balance, however, due to the heavyweight of the transmission, there are energy gaps near the cluster heads (CH). Since the clustering problem in the lost WSNS has proven to be an NP-hard problem, several metaheuristic procedures are used to solve the issue. In this article, we introduce a superior clustering scheme named as Energy Centers Search using Hybrid GA-ACO-PSO (EC-HGA-ACO-PSO). In the initial stage, the CHs are selected using a geometric manner. After a wide variety of grid energy, EC-H GA-ACO-PSO accepts clustering. Using the advanced GA-ACO-PSO algorithm, the energy centers are searched and the nodes near the energy center are selected as CH. Also, it uses a protection mechanism to prevent the transmission of low energy nodes and introduces a mobile data collector to collect the data. We are performing some models to show that our offered EC-HGA-ACO-PSO works better than several related works on improving network lifetime and power usage ratio.

Keywords:-Energy Efficiency, WSN, Energy Center, GA-ACO-PSO, Network Lifetime Mobile Sink.