Energy-Efficient and Sustainable Cluster-Based Routing in IoT Based WSNs Using Metahueristic Optimization
M Archana, V N V L S Swathi, A. Vani Vathsala, K. Deepthi Reddy, Bandi Rambabu, Jakkala Ravichandar Reddy
Abstract
In resource-constrained Wireless Sensor Networks, energy efficiency and lifespan are critical elements that influence the durability and efficacy of the deployed sensor network. A significant problem in wireless sensor networks is the routing technique utilized for the data collected by sensor nodes. In the clustered routing process, the selection of optimum Cluster head (CH) is crucial for controlling communications in wireless sensor networks and minimizing energy usage. This paper proposes a strategy employing the Cheetah Optimization Algorithm (COA) to improve the CH selection process in WSNs. Primarily influenced by the hunting tactics of cheetahs, COA is developed to equilibrate exploration and exploitation rates, hence facilitating optimal solutions for intricate optimization challenges. The suggested method seeks to overcome the deficiencies of current algorithms by concentrating on reducing energy consumption and extending network longevity in WSNs. The proposed approach evaluates various parameters, including node residual energy, proximity to the base station, and node density, to identify possible CHs. Simulation and analytical findings have shown that the suggested COA-based methodology markedly enhances the longevity of WSNs in comparison to conventional techniques.