A Cluster Based Routing Using Energy Efficiency-Based Multi-Objective Optimization in Wireless Sensor Networks

Wireless Sensor Network (WSN) is a growing technology used for monitoring the physical world. The WSN's sensors are utilised to monitor the surrounding environment, and the information gathered is communicated wirelessly. The primary objective of wireless sensor network design is to maximise network lifetime. Network lifetime can be extended and energy consumption can be properly balanced through the use of clustering and routing. However, the WSN's restricted battery supply means that energy efficiency is regarded as a difficult task in a network. In this paper, an Energy Efficiency-based Multi-Objective Optimization method (EE- MOOA) is used to construct a cluster-based routing method for achieving energy efficiency in WSN. The Improved Butterfly Optimization Algorithm (IBOA) is used in the development of the EE-MOOA. Improving energy efficiency is the main goal of the EE-MOOA approach, which aims to improve data delivery for WSNs agricultural applications. The energy efficiency of the EE-MOOA method is 99.12% for 100 nodes, which is a higher measure when compared to the energy efficiency value of existing methods.