Implementation of Energy Harvesting by Minimizing Energy Consumption Using Edge-Based Algorithm

Abstract

Wireless sensor networks (WSNs) are a possible technology for a range of uses, from environmental monitoring to industrial control systems. The issue of sensor nodes is limited battery life needs to be resolved in order to guarantee their long-term operation. In order to increase the battery life of sensor nodes devices, energy harvesting techniques, which attempt to gather and use ambient energy from the environment, have emerged as a possible alternative. The energy harvesting system's performance is assessed during implementation using the NS3 simulation environment, which offers a realistic testing ground. In this research, an energy harvesting edge-based method is proposed, that aims to reduce energy usage, technique for energy harvesting and their suitability for WSNs. This proposed system describes the energy management protocols used to optimize energy usage in WSNs. Furthermore, system architecture for energy harvesting in WSNs is proposed and evaluate its performance using simulation tools and models. Final results show that energy harvesting can significantly improve the lifetime of WSNs and reduce their maintenance costs. In this paper, the final data will be graphically represented. We also discuss the limitations of our study and suggest directions for future research. Future work for findings can be useful for researchers and practitioners who are interested in designing and deploying energy-efficient WSNs for various applications.