Affiliations: [a]
Department of Computer Science and Engineering, Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology, Tamilnadu, India
| [b]
Department of Electronics and Communication Engineering, SSN Engineering College, Tamil Nadu, India
| [c]
Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India
| [d]
Department of Computer Science & Engineering (CS), School of Engineering, Malla Reddy University, Hyderabad, India
| [e]
Department of Information Technology, Vignan’s Foundation for Science, Technology and Research (Deemed to be University), Guntur, Andra Pradesh
Correspondence:
[*]
Corresponding author. A. Arthi, Department of Artificial Intelligence and Data Science, Rajalakshmi Institute of Technology, Chennai, India. E-mail: [email protected].
Abstract: The maximization of lifetime in Wireless Sensor Networks (WSNs) is always made feasible by conserving energy and maintaining synchronization in the connectivity between its nodes. The selection of Cluster head (CH) methodology used during data dissemination process from the CH to the BS determines the energy conversation which is necessary for extending the network’s lifetime. Initially, the nodes are localized using Graphical Recurrent Neural Network. In this research, a hybrid monarchy butterfly and chicken swarm optimization based cluster head selection (HMB-CSO-CHS) method is used to enhance the lifespan of sensor networks. This suggested HMB-CSO-CHS Scheme uses the benefits of the Hybrid Monarchy butterfly and chicken swarm optimization algorithm for the efficient selection of cluster heads by establishing reliable tradeoffs between their exploitation and exploration potentials with optimized convergence rate. The simulation-based investigation of the suggested HMB-CSO-CHS Scheme confirms its effectiveness in reducing the rate of mortality among the sensor nodes such that remarkable improvement in lifetime can be realized in the network When analyzing HMB-CSO-CHS method, it is noted that energy consumption and packet delivery ratio is completely reduced when comparing with existing methods.
Keywords: Monarchy butterfly, chicken swarm optimization, cluster head selection, exploitation, exploration, best individual solution
