Multi-objective may-badger optimizer based energy efficient routing protocol in dense wireless sensor network

Wireless sensor networks (WSN) are omnipresent in the military, health care and defence sectors. In WSN, the data transmission is highly based on energy utilization, which is done by batteries. In conventional approaches, network delay and traffic rate are not mentioned during the energy aware routing process. Hence, multi-objective energy efficient Multi-objective May-Badger (M 2 B) optimized routing is proposed in this paper. In this proposed work, sensor nodes (SNs) are clustered, and the Cluster Head (CH) for all clusters is examined using the world cup optimization algorithm (WCO). After selecting the CH, the hybrid M 2 B optimization algorithm is used for the optimum routing of packets. The proposed M 2 B combines mayfly and honey badger optimization algorithms. The suggested protocol ensures energy efficient routing by considering several factors, such as distance between nodes, distance from the base station, node delay, and traffic rate. The proposed M 2 B protocol is implemented on the Network Simulation version 2 (NS2) platform, and the results are taken in terms of different performance measures. The performance measures are compared with existing approaches, and the comparative analysis demonstrates that the proposed method outperforms existing approaches in two different cases. The energy consumed by 100 nodes in the network for the proposed method is 0.09mJ. The proposed method has a higher Packet Delivery Ratio (PDR) of 96% for 1000 nodes, which expands the network lifespan.