Metaheuristic Optimization Enabled Unequal Clustering with Routing Technique

Wireless sensor networks (WSN) incorporate several sensor nodes (SNs) to accomplish data collection and tracking applications. It assists to perceive the physical variables like temperature, humidity, pressure, and so on. Due to the restricted energy availability of the WSN, energy efficiency becomes a major design issue. Though clustering is considered as an energy efficient approach, it led to hot spot issue and can be solved by unequal clustering technique. Besides, routing is also an effectual approach to determine optimal routes in WSN. This study introduces a metaheuristic optimization enabled unequal clustering with multihop routing protocol (MOUC-MRP) for WSN. The MOUC-MRP approach intends to elect the cluster heads (CHs) and optimal routes to destination in WSN. The presented MOUC-MRP technique encompasses the design of equilibrium optimizer (EO) based clustering technique to choose the CHs and unequal cluster sizes, shows the novelty of the work. In addition, the harmony search (HS) route selection approach is derived for optimal route solution. In order to showcase the effective outcomes of the MOUC-MRP model, a sequence of simulations is carried out and the results reported the supremacy of the MOUC-MRP model.