Energy harvesting based data incorporated management model for Internet of Things School of Computer Science Engineering and Information Systems Vellore Institute of Technology Vellore

Abstract

The IoT represents a much wider network of interrelated devices, all the time being fed by data generation and transmission. However, to this day, this remains a considerable problem to manage energy consumption by the devices as such in distant or energy-scarce environments. This paper proposes an Energy-Harvesting-Based Data Management Model, wherein the energy use in IoT devices is optimized through harnessing renewable energy sources such as solar light energy and kinetic energy. The model incorporates the so-called adaptive algorithms and improved data routing techniques-with these meant to maximize energy efficiency-maintaining at the same time the smooth operation of data management even in the energy-defaulting states. Simulation results using the Cisco Packet Tracer demonstrate how the model effectively manages energy, prolongs device life, and allows continuous process execution in the IoT.[1] This solution is greatly of benefit for deployment in remote and difficult-to-manage environments of an IoT setting and will ensure that energy consumption in data transmission is sustainable.