Towards Improved Lifespan for Wireless Sensor Networks: A Review of Energy Harvesting Technologies and Strategies
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Submitted Jan 5, 2022
Published Jan 26, 2022
Published Jan 26, 2022
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Wireless Sensor Networks (WSN) have largely integrated all areas, including the military and civil fields. Their main limitation is their energy resources, which are very limited. Charging or replacing their batteries is often complicated or impossible, due to the high costs involved. The development of new approaches to energy management techniques for these autonomous systems has identified two strategic categories of energy management classification. The first category "Software" targets the development of algorithms for routing protocols to make transmissions smarter and more energy-efficient. The second category "Hardware", focused more on new energy recovery technologies, has drawn the attention of academicians and industrialists because they bring a new manner of energy storage with life extension performance. Furthermore, this category has inspired new ways of supporting WSN administered applications such as real-time processes. In this paper, we review different current sources of Energy Harvesting Technologies and Strategies with WSN (EHTS-WSN) and their various areas of applications. Our review provided a current analysis and future prospects for energy harvesting purposes in WSN. Hence, we propose that it would be required to ensure a compromise that combined the ''Software'' and ''Hardware'' designs of WSN in order to optimize energy consumption and therefore the lifetime of the network.
Keywords: EHTS-WSN, RF, Solar energy, Piezoelectricity, Wind energy
References
W.R. Heinzelman, A. Chandrakasan and H. Balakrishnan. An Application-Specific Protocol Architecture for Wireless Micro-sensor Networks. IEEE Transactions on Wireless Communications, December 2002;1(4): 660-670.
S. Ehlali and A. Sayah. A Clustering Technique Based on Energy Balancing Algorithm for Routing in Wireless Sensor Networks. Journal of Theoretical and Applied Information Technology, April 2013;50(1): 51-56.
S. Ehlali and A. Sayah. Efficient Lifetime Maximization Data Gathering Technique for Routing in Wireless Sensor Networks. Applied Mathematical Sciences, HIKARI, 2014; 8(28): 1381-1389.
F. K. Shaikh and S. Zeadally, Energy Harvesting in Wireless Sensor Networks: A Comprehensive Review. Renewable and Sustainable Energy Reviews, 2016; 55: 1041-1054.
S. Priya, H. C. Song, Y. Zhou, R. Varghese, A. Chopra, S.G. Kim, I. Kanno, L. Wu, D.S. Ha and J. Ryu. A Review on Piezoelectric Energy Harvesting: Materials, Methods, and Circuits. Energy Harvesting and Systems, 2017; 4(1): 3-39.
U. Baroudi. Management of RF Energy Harvesting: A Survey. Proceedings of the 16th International Multi-Conference on Systems, Signals & Devices (SSD), pp. 44-49, Istanbul, Turkey, 2019.
M. Bathre and P. K. Das, Hybrid Energy Harvesting for Maximizing Lifespan and Sustainability of Wireless Sensor Networks: A Comprehensive Review & Proposed Systems. 2020 International Conference on Computational Intelligence for Smart Power System and Sustainable Energy (CISPSSE), pp. 1-6, Keonjhar, Odisha, India, 2020.
H.H.R. Sherazi, L.A. Grieco and G. Boggia, A Comprehensive Review on Energy Harvesting MAC Protocols in WSNs: Challenges and Tradeoffs. Ad Hoc Networks, 2018; 71: 117-134.
S. Kim, R. Vyas, J. Bito, K. Niotaki, A. Collado, A. Georgiadis and M.M. Tentzeris. Ambient RF Energy-Harvesting Technologies for Self-Sustainable Standalone Wireless Sensor Platforms. Proceedings of the IEEE, November 2014, pp. 1649–1666, Vol. 102, no. 11.
X. Lu, P. Wang, D. Niyato, D. I. Kim and Z. Han. Wireless Networks with RF Energy Harvesting: A Contemporary Survey. IEEE Communications Surveys & Tutorials. Second quarter 2015; 17(2): 757-789.
K. N. Puniran, A. Robiah and R. A. Dziyauddin. RF Energy Harvesting with Multiple Sources and Co-Channel Interference Assisted. Journal of Advanced Research in Business and Management Studies. 2017; 8(2): 50-55.
Y. Li and R. Shi. An Intelligent Solar Energy-Harvesting System for Wireless Sensor Networks. EURASIP Journal on Wireless Communications and Networking, 2015; 179:1-12.
Antony Saji M., S. Indu and R. Pandey. An Efficient Solar Energy Harvesting System for Wireless Sensor Network Nodes. Journal of Information and Optimization Sciences. 2020; 41(1): 39-50.
G. Zhou, L. Huang, W. Li and Z. Zhu. Harvesting Ambient Environmental Energy for Wireless Sensor Networks: A Survey. Journal of Sensors. 2014; 1.
M. Iqbal and F.U. Khan. Hybrid Vibration and Wind Energy Harvesting Using Combined Piezoelectric and Electromagnetic Conversion for Bridge Health Monitoring Applications. Energy Conversion and Management. 2018; 172: 611–618.
O. Gulec, E. Haytaoglu and S. Tokat. A Novel Distributed CDS Algorithm for Extending Lifetime of WSNs With Solar Energy Harvester Nodes for Smart Agriculture Applications. IEEE Access. 2020; 8:58859-58873.
K. S Adu-Manu., N. Adam, C. Tapparello, H. Ayatollahi and W. Heinzelman, Energy-Harvesting Wireless Sensor Networks (EH-WSNs): A Review. ACM Transactions on Sensor Networks, 2018 April; 14(2):1-50.
Iot-analytics.com. State of the IoT 2020: 12 billion IoT connections, surpassing non-IoT for the first time, [Internet] 19 Nov. 2020 [update September 2021]. Available from: https://iot-analytics.com/state-of-the-iot-2020-12-billion-iot-connections-surpassing-non-iot-for-the-first-time.
M. Xie, S. Dunn, E. Le Boulbar and C.R. Bowen. Pyroelectric Energy Harvesting for Water Splitting. International Journal of Hydrogen Energy. 2017; 42(37):23437–23445.
V. Shnayder, M. Hempstead, B Chen., G. W. Allen and M. Welsh. Simulating the Power Consumption of Large-Scale Sensor Network Applications. SenSys’04, 2004:188-200.
V. Raghunathan, C. Schurgers, Sung Park and M. B. Srivastava, Energy-Aware Wireless Microsensor Networks. IEEE Signal Processing Magazine, 2002 March; 19(2): 40-50.
E. Shih, S-H. Cho, N. Ickes, R. Min, A. Sinha, A. Wang, and A. Chandrakasan. Physical Layer Driven Protocol and Algorithm Design for Energy-Efficient Wireless Sensor Networks. Proceedings of the 7th annual international conference on Mobile computing and networking (MobiCom '01). Association for Computing Machinery, New York, USA, pp. 272–287. 2001.
X. Ji, X. Zhou, M. Xu, W. Xu and Y. Dong, OPCIO: Optimizing Power Consumption for Embedded Devices via GPIO Configuration. ACM Transactions on Sensor Networks, 2020; 16.
U. Raza and A. Salam. On-Site and External Energy Harvesting in Underground Wireless. Electronics, 2020;9(4): 681.
S. Basagni, M.Y. Naderi, C. Petrioli and D. Spenza. Wireless Sensor Networks with Energy Harvesting. Mobile Ad Hoc Networking: The Cutting Edge Directions. John Wiley & Sons Inc., Hoboken, NJ, 2013, Chapter 20, pp. 701-736.
K. Z. Panatik, K. Kamardin, S. A. Shariff, S. S. Yuhaniz, N. A. Ahmad,O M. Yusop, and S. Ismail. Energy Harvesting in Wireless Sensor Networks: A Survey. 2016 IEEE 3rd International Symposium on Telecommunication Technologies (ISTT). pp. 53–58. 2016.
S. Thakur, D. Prasad and A. Verma, Energy Harvesting Methods in Wireless Sensor Network: A Review. International Journal of Computer Applications. 2017; 165(9):19-22.
H. Liu, J. Zhong, C. Lee, SW. Lee and LN Lin. A Comprehensive Review on Piezoelectric Energy Harvesting Technology: Materials, Mechanisms and Applications. Applied Physics Reviews. 2018; 5(4):041306.
M. Grossi. Energy Harvesting Strategies for Wireless Sensor Networks and Mobile Devices: A Review. Electronics 2021, 10(661).
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[1]
Ehlali, S. and Sayah, A. 2022. Towards Improved Lifespan for Wireless Sensor Networks: A Review of Energy Harvesting Technologies and Strategies. European Journal of Electrical Engineering and Computer Science. 6, 1 (Jan. 2022), 32–38. DOI:https://doi.org/10.24018/ejece.2022.6.1.396.
