Solar Energy Harvesting and Management in Wireless Sensor Networks

Author:

Abbas Muhammad Mazhar1,Tawhid Mohamed A.23,Saleem Khalid4,Muhammad Zia1,Saqib Nazar Abbas5,Malik Hafiz6,Mahmood Hasan1

Affiliation:

1. Department of Electronics, Quaid-i-Azam University, 45320 Islamabad, Pakistan

2. Department of Mathematics and Statistics, Faculty of Science, Thompson Rivers University, 900 McGill Road, Kamloops, BC, Canada V2C 0C8

3. Department of Mathematics and Computer Science, Faculty of Science, Alexandria University, Moharram Bey, Alexandria 21511, Egypt

4. Department of Computer Sciences, Quaid-i-Azam University, 45320 Islamabad, Pakistan

5. College of Electrical and Mechanical Engineering, National University of Sciences and Technology (NUST), Islamabad, Pakistan

6. Electrical and Computer Engineering Department, University of Michigan-Dearborn, Dearborn, MI 48128, USA

Abstract

Wireless networks comprise of small devices that are typically deployed in environments where paucity of energy seriously restricts essential operations. The energy source of these devices decreases very quickly during continuous operation and it is pivotal to replace or recharge frequently the power sources. Sometimes, it is very difficult to perform these functions through conventional methods. One attractive solution to this problem is the use of the energy, scattered around us in the environment. The availability of energy from the environment is random and uncertain. In this paper, we present a model, schematically and analytically, for solar energy harvesting with appropriate energy management. We provide analysis and simulations for a solar cell for standard and different irradiance levels. The power of the storage device is also simulated for different times of the day. The proposed model not only scavenges the energy but also assures the connectivity of the network by optimizing the energy consumption.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

Cited by 20 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Development of predictive neural network with historical and geometrical inputs to minimize energy consumption in solar-fed wireless sensor networks;Sustainable Energy, Grids and Networks;2023-06

2. Optimal Neural Network for Predicting Solar Energy in Sensor Units Based on a Cascaded Input/Structure Direct Optimization;Journal of Sensors;2022-08-22

3. Maximizing The Lifetime of WSN Using Hybrid Energy Harvesting Approach;2022 IEEE 9th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT);2022-05-28

4. Investigations on Power-Aware Solutions in Low Power Sensor Networks;Lecture Notes in Networks and Systems;2022

5. A Composite Moving Average Algorithm for Predicting Energy in Solar Powered Wireless Sensor Nodes;2021 18th International Multi-Conference on Systems, Signals & Devices (SSD);2021-03-22

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