Clustering Multilevel Energy Nodes in Wireless Sensor Network for Multiple Goals

Abstract

By acting as a last-mile link for real-time communication systems, the adoption of clustered wireless sensor systems has improved communication entities' efficiency and core goals. However, the energy restrictions of sensor nodes limit their activity and total longevity, restricting this development. Thus, extending the lifetime and improving the stability of clustered sensor networks requires an energy-efficient solution immediately. Extending node lives by heterogeneity introduction and communication activity regulation in wireless sensor network (WSN) is a feasible approach. Along with improving network longevity and stability, this clever energy-efficient strategy also solves issues with heterogeneity and node deployment scenarios. It improves network stability and longevity by controlling internal overhead associated with communication between and within clusters, communication load inside the network regardless of boundary conditions, and the likelihood of cluster formation. The Clustering of Multilevel Energy Nodes (CMEN) in Wireless Sensor Network for Multiple Goals (CMENWSNMG), which is the intelligent clustering approach that has been suggested, provides a complete answer to these problems. Crucially, this methodology demonstrates enhanced performance across various performance metrics, levels of heterogeneity, and deployment scenarios. Simulation results illustrate the remarkable efficacy of this suggested strategy, surpassing widely acknowledged published systems.