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General Information
ISSN:
1796-2021 (Online); 2374-4367 (Print)
Abbreviated Title:
J. Commun.
Frequency:
Monthly
DOI:
10.12720/jcm
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3.4
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Editor-in-Chief
Prof. Maode Ma
College of Engineering, Qatar University, Doha, Qatar
I'm very happy and honored to take on the position of editor-in-chief of JCM, which is a high-quality journal with potential and I'll try my every effort to bring JCM to a next level...
[Read More]
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Home
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2020
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Volume 15, No. 5, May 2020
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Towards the Implementation of Energy Harvesting for IoT Sensor Nodes in an Early Warning Flood Detection System
Mohd Aizat Mohd Yazid
1
, Ahmad Jazlan
1
, Mohd Zuhaili Mohd Rodzi
2
, Muhammad Afif Husman
1
, Abdul Rahman Afif
1
, Hasan Firdaus Mohd Zaki
1
, and Deepak Kumar
3
1. Smart Structures, System and Control Research Lab, Department of Mechatronics Engineering, Kulliyyah of Engineering, International Islamic University Malaysia, 53100 Jalan Gombak, Selangor
2. School of Computing, Faculty of Engineering, Universiti Teknologi Malaysia, 81310 UTM Johor Bahru, Malaysia
3. School of Electrical Engineering, Motilal Nehru National Institute of Technology, Allahabad, 211004 India
Abstract
—Flood sensors are deployed to measure the water level of rivers in areas prone to flooding. Flood is a frequent event in many places and the after effect almost always results in loss of properties and lives. Deploying sensors in remote areas to provide significant benefit in mitigating the after-effects of flood, however, it is not simple as the nodes would require a constant source of clean energy. This research explores the potentials of energy harvesting as a means for the sensor nodes to be self-sustaining by using a clean source of energy in order to achieve constant monitoring of water levels in remote flood-prone areas.
Index Terms
—Energy harvesting, IoT sensor node, flood sensor
Cite: Mohd Aizat Mohd Yazid, Ahmad Jazlan, Mohd Zuhaili Mohd Rodzi, Muhammad Afif Husman, Abdul Rahman Afif, Hasan Firdaus Mohd Zaki, and Deepak Kumar, "Towards the Implementation of Energy Harvesting for IoT Sensor Nodes in an Early Warning Flood Detection System," Journal of Communications vol. 15, no. 5, pp. 398-405, May 2020. Doi: 10.12720/jcm.15.5.398-405
Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License (
CC BY-NC-ND 4.0
), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.
3-FC024
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