Multi-objective Energy Centric Remora Optimization Algorithm for Wireless Sensor Network

Smart environment is dominating today’s world, and this is leading to a surge in real-time applications for Wireless Sensor Network (WSN) technologies. But the downside of it are the issues concerning energy constraints as the energy of the battery-operated sensor nodes (SN) deplete with time. Clustering and routing approach is one of the techniques employed for increasing the energy effectiveness of SN. Multi-objective—Energy Centric Remora Optimization Algorithm (MO-ECROA) proposes to perform cluster-based routing by using various fitness functions for the purpose of best candidate selection for cluster head (CH). It then uses Ant Colony Optimization Algorithm (ACO) for choosing the optimal routing path for forwarding packets to the Base Station (BS) from CHs. The proposed MO-ECROA, moderates the node energy consumption while enhancing WSN data delivery. It shows better performance as far as energy efficiency and network throughput is concerned. The energy effectiveness of the MO-ECROA method-based CH protocol is 82.64%, which is higher when compared to the existing ACI-GSO, MWCSGA, and O-EHO.