Energy harvesting for devices in wireless sensor networks: A Review
DOI:
https://doi.org/10.4108/eetiot.v9i2.2953Keywords:
Wireless Sensor Networks, WSN, wireless recharging, energy harvesting, sensor nodesAbstract
Recent years have witnessed several technological breakthroughs in wireless sensor networks (WSN), yet energy continues to be an indispensable resource despite these advancements. The amount of energy that is available in a WSN has a direct bearing on how well it functions, how well it performs, and how long it will continue to operate. Because of the limitations imposed on them by cost and size, sensor nodes almost always come outfitted with a constrained amount of energy. As a direct consequence of this, their batteries will need to be replaced at regular intervals. However, the replacement is only sometimes a viable alternative; in fact, there are some situations in which it is unlikely to be achievable and entirely improbable. Because of this, there is an urgent need for more feasible solutions, which include energy harvesting or wireless energy transfer, as well as the creation of power at the sensor nodes themselves or their delivery of power to them. These options are among the options that are now available. This study intends to accomplish the following three primary goals: In the first step of this process, we will investigate prospective renewable energy resources and information on their qualities and uses in wireless sensor networks (WSN). Second, this study examines various methods for charging batteries and the various ways each of these methods might be applied to wireless sensor networks (WSN).
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References
M. T. Nguyen, K. A. Teague, and N. Rahnavard, “Ccs: Energy-efficient data collection in clustered wireless sen-sor networks utilizing block-wise compressive sensing,” Computer Networks, vol. 106, pp. 171–185, 2016. DOI: https://doi.org/10.1016/j.comnet.2016.06.029
M. T. Nguyen, H. M. La, and K. A. Teague, “Collaborative and compressed mobile sensing for data collection in distributed robotic networks,” IEEE Transactions on Control of Network Systems, vol. 5, no. 4, pp. 1729–1740, 2018. DOI: https://doi.org/10.1109/TCNS.2017.2754364
M. T. Nguyen and K. A. Teague, “Tree-based energy-efficient data gathering in wireless sensor networks deploying compressive sensing,” in 2014 23rd Wireless and Optical Communication Conference (WOCC), pp. 1–6, 2014.
M. Nguyen and Q. Cheng, “Efficient data routing for fusion in wireless sensor networks,” Signal, vol. 1000, no. 8, p. 11, 2012.
S. Sadeghi, N. Soltanmohammadlou, and F. Nasirzadeh, “Applications of wireless sensor networks to improve occupational safety and health in underground mines,” Journal of Safety Research, 2022. DOI: https://doi.org/10.1016/j.jsr.2022.07.016
T. M. Behera and S. K. Mohapatra, “A novel scheme for mitigation of energy hole problem in wireless sensor network for military application,” International Journal of Communication Systems, vol. 34, no. 11, p. e4886, 2021. DOI: https://doi.org/10.1002/dac.4886
J. Cecílio and P. Furtado, “Wireless sensor networks: Concepts and components,” in Wireless Sensors in Heterogeneous Networked Systems, pp. 5–25, Springer, 2014. DOI: https://doi.org/10.1007/978-3-319-09280-5_2
Y. Li, S. Xie, Z. Wan, H. Lv, H. Song, and Z. Lv, “Graph-powered learning methods in the internet of things: A survey,” Machine Learning with Applications, vol. 11, p. 100441, 2023. DOI: https://doi.org/10.1016/j.mlwa.2022.100441
A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk, and J. Anderson, “Wireless sensor networks for habitat monitoring,” in Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications, pp. 88–97, 2002. DOI: https://doi.org/10.1145/570738.570751
M. Karpiriski, A. Senart, and V. Cahill, “Sensor networks for smart roads,” in Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOMW’06), pp. 5–pp, IEEE, 2006.
R.-G. Lee, K.-C. Chen, S.-S. Chiang, C.-C. Lai, H.-S. Liu, and M.-S. Wei, “A backup routing with wireless sensor network for bridge monitoring system,” in 4th Annual Communication Networks and Services Research Conference (CNSR’06), pp. 5–pp, IEEE, 2006.
K. Chebrolu, B. Raman, N. Mishra, P. K. Valiveti, and R. Kumar, “Brimon: a sensor network system for railway bridge monitoring,” in Proceedings of the 6th international conference on Mobile systems, applications, and services, pp. 2–14, 2008. DOI: https://doi.org/10.1145/1378600.1378603
G. Werner-Allen, K. Lorincz, M. Ruiz, O. Marcillo, J. Johnson, J. Lees, and M. Welsh, “Deploying a wireless sensor network on an active volcano,” IEEE internet computing, vol. 10, no. 2, pp. 18–25, 2006. DOI: https://doi.org/10.1109/MIC.2006.26
M. T. Nguyen, Data collection algorithms in wireless sensor networks employing compressive sensing. PhD thesis, Oklahoma State University, 2016.
M. T. Nguyen, K. A. Teague, and S. Bui, “Compressive wireless mobile sensing for data collection in sensor networks,” in 2016 International Conference on Advanced Technologies for Communications (ATC), pp. 437–441, 2016. DOI: https://doi.org/10.1109/ATC.2016.7764822
M. T. Nguyen, H. M. Nguyen, A. Masaracchia, and C. V. Nguyen, “Stochastic-based power consumption analysis for data transmission in wireless sensor networks,” EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 6, no. 19, pp. e5–e5, 2019. DOI: https://doi.org/10.4108/eai.13-6-2019.159123
G. K. Ijemaru, K. L.-M. Ang, and J. K. Seng, “Wireless power transfer and energy harvesting in distributed sensor networks: Survey, opportunities, and challenges,” International Journal of Distributed Sensor Networks, vol. 18, no. 3, p. 15501477211067740, 2022. DOI: https://doi.org/10.1177/15501477211067740
A. Riaz, M. R. Sarker, M. H. M. Saad, and R. Mohamed, “Review on comparison of different energy storage tech-nologies used in micro-energy harvesting, wsns, low-cost microelectronic devices: Challenges and recommenda-tions,” Sensors, vol. 21, no. 15, p. 5041, 2021. DOI: https://doi.org/10.3390/s21155041
V. T. Vu, T. V. Quyen, L. H. Truong, A. M. Le, C. V. Nguyen, and M. T. Nguyen, “Energy efficient approaches in wireless sensor networks,” ICSES Transactions on Computer Networks and Communications, vol. 6, no. 1, pp. 1–10, 2020.
M. T. Nguyen, “Distributed compressive and collabora-tive sensing data collection in mobile sensor networks,” Internet of Things, vol. 9, p. 100156, 2020. DOI: https://doi.org/10.1016/j.iot.2019.100156
J. Polastre, J. Hill, and D. Culler, “Versatile low power media access for wireless sensor networks,” in Proceedings of the 2nd international conference on Embedded networked sensor systems, pp. 95–107, 2004. DOI: https://doi.org/10.1145/1031495.1031508
W. Ye, J. Heidemann, and D. Estrin, “An energy-efficient mac protocol for wireless sensor networks,” in Proceedings. Twenty-first annual joint conference of the IEEE computer and communications societies, vol. 3, pp. 1567–1576, IEEE, 2002.
M. Buettner, G. V. Yee, E. Anderson, and R. Han, “X-mac: a short preamble mac protocol for duty-cycled wireless sensor networks,” in Proceedings of the 4th international conference on Embedded networked sensor systems, pp. 307–320, 2006. DOI: https://doi.org/10.1145/1182807.1182838
M. T. Nguyen, H. M. La, and K. A. Teague, “Compressive and collaborative mobile sensing for scalar field mapping in robotic networks,” in 2015 53rd Annual Allerton Conference on Communication, Control, and Computing (Allerton), pp. 873–880, 2015. DOI: https://doi.org/10.1109/ALLERTON.2015.7447098
M. T. Nguyen, C. V. Nguyen, H. T. Do, H. T. Hua, T. A. Tran, A. D. Nguyen, G. Ala, and F. Viola, “Uav-assisted data collection in wireless sensor networks: A comprehensive survey,” Electronics, vol. 10, no. 21, p. 2603, 2021. DOI: https://doi.org/10.3390/electronics10212603
W. Jiang, “Graph-based deep learning for communi-cation networks: A survey,” Computer Communications, 2021. DOI: https://doi.org/10.1016/j.comcom.2021.12.015
M. T. Nguyen, “Energy harvesting in wireless sensor net-works: benefits and challenges,” ICSES Interdisciplinary Transactions on Cloud Computing, IoT, and Big Data, vol. 4, no. 1, pp. 1–3, 2020.
M. T. Nguyen, H. T. Tran, C. V. Nguyen, G. Ala, F. Viola, and I. Colak, “A novel framework of hybrid harvesting mechanisms for remote sensing devices,” in 2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), pp. 1007–1012, IEEE, 2022. DOI: https://doi.org/10.1109/MELECON53508.2022.9842963
Y. Na, S. Kim, S. P. R. Mallem, S. Yi, K. T. Kim, and K.-I. Park, “Energy harvesting from human body heat using highly flexible thermoelectric generator based on bi2te3 particles and polymer composite,” Journal of Alloys and Compounds, vol. 924, p. 166575, 2022. DOI: https://doi.org/10.1016/j.jallcom.2022.166575
D. Hao, L. Qi, A. M. Tairab, A. Ahmed, A. Azam, D. Luo, Y. Pan, Z. Zhang, and J. Yan, “Solar energy harvesting technologies for pv self-powered applications: A com-prehensive review,” Renewable Energy, 2022. DOI: https://doi.org/10.1016/j.renene.2022.02.066
H. T. Tran, M. T. Nguyen, G. Ala, F. Viola, et al., “Hybrid solar-rf energy harvesting mechanisms for remote sensing devices,” International Journal of Renewable Energy Research (IJRER), vol. 12, no. 1, pp. 294–304, 2022.
W. Zhang, T. Liu, M. Xie, L. Li, D. Kar, and C. Pan, “Energy harvesting aware multi-hop routing policy in distributed iot system based on multi-agent reinforcement learning,” in 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC), pp. 562–567, IEEE, 2022. DOI: https://doi.org/10.1109/ASP-DAC52403.2022.9712528
X. Xiao, M. Wang, and G. Cao, “Solar energy harvest-ing and wireless charging based temperature moni-toring system for food storage,” Sensors International, p. 100208, 2022. DOI: https://doi.org/10.1016/j.sintl.2022.100208
R. Hidalgo-Leon, J. Urquizo, C. E. Silva, J. Silva-Leon, J. Wu, P. Singh, and G. Soriano, “Powering nodes of wireless sensor networks with energy harvesters for intelligent buildings: A review,” Energy Reports, vol. 8, pp. 3809–3826, 2022. DOI: https://doi.org/10.1016/j.egyr.2022.02.280
A. Kansal, J. Hsu, S. Zahedi, and M. B. Srivastava, “Power management in energy harvesting sensor networks,” ACM Transactions on Embedded Computing Systems (TECS), vol. 6, no. 4, pp. 32–es, 2007. DOI: https://doi.org/10.1145/1274858.1274870
S. Draskovic and L. Thiele, “Optimal power manage-ment for energy harvesting systems with a backup power source,” in 2021 10th Mediterranean Conference on Embedded Computing (MECO), pp. 1–9, IEEE, 2021. DOI: https://doi.org/10.1109/MECO52532.2021.9460139
T. Sanislav, G. D. Mois, S. Zeadally, and S. C. Folea, “Energy harvesting techniques for internet of things (iot),” IEEE Access, vol. 9, pp. 39530–39549, 2021. DOI: https://doi.org/10.1109/ACCESS.2021.3064066
M. T. Nguyen, C. V. Nguyen, H. T. Tran, and F. Viola, “Energy harvesting for mobile agents supporting wireless sensor networks,” Energy Harvesting and Systems, 2022. DOI: https://doi.org/10.1515/ehs-2022-0086
S. Ehlali and A. Sayah, “Towards improved lifespan for wireless sensor networks: A review of energy harvesting technologies and strategies,” European Journal of Electrical Engineering and Computer Science, vol. 6, no. 1, pp. 32–38, 2022. DOI: https://doi.org/10.24018/ejece.2022.6.1.396
S. Akbari, “Energy harvesting for wireless sensor networks review,” in 2014 Federated Conference on Computer Science and Information Systems, pp. 987–992, IEEE, 2014. DOI: https://doi.org/10.15439/2014F85
M. Prauzek, J. Konecny, M. Borova, K. Janosova, J. Hlavica, and P. Musilek, “Energy harvesting sources, storage devices and system topologies for environmental wireless sensor networks: A review,” Sensors, vol. 18, no. 8, p. 2446, 2018. DOI: https://doi.org/10.3390/s18082446
R. T. Yadlapalli, R. R. Alla, R. Kandipati, and A. Kotapati, “Super capacitors for energy storage: Progress, applications and challenges,” Journal of Energy Storage, vol. 49, p. 104194, 2022. DOI: https://doi.org/10.1016/j.est.2022.104194
A. M. Le, L. H. Truong, T. V. Quyen, C. V. Nguyen, and M. T. N. T. Nguyen, “Wireless power transfer near-field technologies for unmanned aerial vehicles (uavs): A review,” EAI Endorsed Transactions on Industrial Networks and Intelligent Systems, vol. 7, no. 22, pp. e5–e5, 2020. DOI: https://doi.org/10.4108/eai.31-1-2020.162831
N. Mohamed, F. Aymen, M. Alqarni, R. A. Turky, B. Alamri, Z. M. Ali, and S. H. A. Aleem, “A new wireless charging system for electric vehicles using two receiver coils,” Ain Shams Engineering Journal, vol. 13, no. 2, A comprehensive survey,” Electronics, vol. 9, no. 3, p. 461, 2020. DOI: https://doi.org/10.1016/j.asej.2021.08.012
L. Xie, Y. Shi, Y. T. Hou, and A. Lou, “Wireless power transfer and applications to sensor networks,” IEEE Wireless Communications, vol. 20, no. 4, pp. 140–145, 2013. DOI: https://doi.org/10.1109/MWC.2013.6590061
M. H. Rehmani, A. Rachedi, S. Lohier, T. Alves, and B. Poussot, “Intelligent antenna selection decision in ieee 802.15. 4 wireless sensor networks: An experimental analysis,” Computers & Electrical Engineering, vol. 40, no. 2, pp. 443–455, 2014. DOI: https://doi.org/10.1016/j.compeleceng.2013.11.021
N. Wang, Y. Zhu, W. Wei, J. Chen, S. Liu, P. Li, and Y. Wen, “One-to-multipoint laser remote power supply system for wireless sensor networks,” IEEE Sensors Journal, vol. 12, no. 2, pp. 389–396, 2011. DOI: https://doi.org/10.1109/JSEN.2011.2161465
M. I. Afzal, W. Mahmood, and A. H. Akbar, “A battery recharge model for wsns using free-space optics (fso),” in 2008 IEEE International Multitopic Conference, pp. 272–277, IEEE, 2008. DOI: https://doi.org/10.1109/INMIC.2008.4777748
N. A. Bhatti, A. A. Syed, and M. H. Alizai, “Sensors with lasers: Building a wsn power grid,” in IPSN-14 Proceedings of the 13th International Symposium on Information Processing in Sensor Networks, pp. 261–272, IEEE, 2014. DOI: https://doi.org/10.1109/IPSN.2014.6846758
M. G. Roes, J. L. Duarte, M. A. Hendrix, and E. A. Lomonova, “Acoustic energy transfer: A review,” IEEE Transactions on Industrial Electronics, vol. 60, no. 1, pp. 242–248, 2012. DOI: https://doi.org/10.1109/TIE.2012.2202362
J. Figueroa Jr and M. Staruch, “Acoustic energy har-vesting of piezoelectric ceramic composites,” Energies, vol. 15, no. 10, p. 3734, 2022. DOI: https://doi.org/10.3390/en15103734
A. Denisov and E. Yeatman, “Ultrasonic vs. inductive power delivery for miniature biomedical implants,” in 2010 International Conference on Body Sensor Networks, pp. 84–89, IEEE, 2010. DOI: https://doi.org/10.1109/BSN.2010.27
A. Kurs, R. Moffatt, and M. Soljačić, “Simultaneous mid-range power transfer to multiple devices,” Applied Physics Letters, vol. 96, no. 4, p. 044102, 2010. DOI: https://doi.org/10.1063/1.3284651
H. Dai, X. Wu, G. Chen, L. Xu, and S. Lin, “Minimizing the number of mobile chargers for large-scale wireless rechargeable sensor networks,” Computer Communications, vol. 46, pp. 54–65, 2014. DOI: https://doi.org/10.1016/j.comcom.2014.03.001
M. Erol-Kantarci and H. T. Mouftah, “Suresense: sustainable wireless rechargeable sensor networks for the smart grid,” IEEE Wireless Communications, vol. 19, no. 3, pp. 30–36, 2012. DOI: https://doi.org/10.1109/MWC.2012.6231157
Y. Peng, Z. Li, W. Zhang, and D. Qiao, “Prolonging sensor network lifetime through wireless charging,” in 2010 31st IEEE Real-Time Systems Symposium, pp. 129–139, IEEE, 2010. DOI: https://doi.org/10.1109/RTSS.2010.35
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