An Efficient Solar Energy Harvesting Management with MPPT for WSN

Authors

  • M. Anand Associate Professor, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • N. Anusha Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • P. Anitha Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • G. Chaitanyalaksmi Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India
  • J. K. Divyashree Student, Department of Electronics and Communication Engineering, East West Institute of Technology, Bangalore, India

Keywords:

solar energy harvesting, DC-DC converters, MPPT, wireless sensor nodes

Abstract

Wireless Sensor Networks (WSNs) are the fundamental building blocks of today's contemporary Internet of Things, with applications ranging from smart agriculture to smart cities to online industrial monitoring. The battery energy of WSN nodes is restricted, which is a key design restriction. The objectives of this paper are to use a solar energy harvesting technology to extend the lifetime of a WSN network. An iterative re-enactment was performed in MATLAB/SIMULINK for solar powered DC-DC converters with Maximum Control Point Tracking (MPPT) to attain ideal results. From the re-enactment results, it is proved that our outlined solar energy harvesting system has accomplished 98% proficiency.

Downloads

Download data is not yet available.

Downloads

Published

25-08-2021

Issue

Vol. 4 No. 8 (2021)

Section

Articles

License

Copyright (c) 2021 M. Anand, N. Anusha, P. Anitha, G. Chaitanyalaksmi, J. K. Divyashree

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
M. Anand, N. Anusha, P. Anitha, G. Chaitanyalaksmi, and J. K. Divyashree, “An Efficient Solar Energy Harvesting Management with MPPT for WSN”, IJRESM, vol. 4, no. 8, pp. 250–253, Aug. 2021, Accessed: Nov. 21, 2024. [Online]. Available: https://journal.ijresm.com/index.php/ijresm/article/view/1237

Most read articles by the same author(s)