Energy and Lifetime Efficient Routing Technique for Wireless Sensor Networks using optimal Clustering

Abstract

Wireless Sensor Networks (WSN) is one of the most technologically advanced technologies used in advanced applications. However, the network lifetime of the WSN is very short due to the low power of the sensor network. Therefore, energy efficiency and network reliability are considered to be the main challenges of WSN. Most WSN applications in real-time scenario need to provide vital information on energy efficiency. In this study, we investigate the joint optimal problems of energy and lifetime efficient routing technique in WSN routing protocol using optimal clustering (ELR-OC). The proposed ELR-OC routing technique aimed to provide optimal clustering using multi-objective flower optimization (MOFO) algorithm which ensures the energy efficiency in overall performance. Based on trust degree, we calculate cluster head (CH) using numerous design metrics. Finally, we illustrates the cat hunting with feed-forward neural network (CH-FFNN) for multi-hop routing between CHs and sink nodes to optimizes both energy efficiency and network lifetime. The simulation results showed that our proposed ELR-OC routing technique efficiency over the existing routing methods based on energy and network lifetime metrics.