Energy Efficient Cluster based Data Aggregation using GWO Optimization with SPFA Technique for Wireless Sensor Networks

Abstract

One of the most effective route selection and data aggregation process of Wireless Sensor Network (WSN) is used for collecting data from sensor nodes and send back data to Base station for collecting data from sensor nodes. In this paper, we designed a optimization with shortest route selection technique for enhancing  energy efficiency and data transmission in delay constraints. The proposed Grey Wolf Optimization (GWO) technique is used for computing more possible path and provides data gathering process better performance. It also checks the location accuracy and minimization of localization error. Shortest Path Fast Algorithm (SPFA) which can find the best path where transmission distance is minimized and also calculate the weight of nodes energy level. In this paper NS2 simulator is used for computing shortest path with optimal nodes selection compared to proposed method with existing method. Energy efficient method indicates that our proposed GWOoptimization with SPFA technique performs efficiently in saving of energy, with respect to network lifetime and large data aggregation amount.