A Novel Single-Wire Power Transfer Method for Wireless Sensor Networks
Abstract
:1. Introduction
2. Structures of Single-Wire Power Transfer Systems
3. Simulation Analysis
3.1. Directivity Simulations
3.2. Multi-Load Simulations
4. Experiment Results
4.1. Comparative Experiments
4.2. Directivity Experiments
4.3. Multi-Load Experiments
5. Conclusions
- A novel single wire power transfer system structure is utilized because of the large volume and high voltage of the single-wire power transfer system that evolved from Tesla’s WPT system. Metal conductors are removed and coils are miniaturized in the novel structure. This structure can improve system flexibility and reduce system complexity under the premise of ensuring transmitting power and efficiency.
- The directivity of the system is studied based on the characteristics of WSNs. The transmitting power, receiving power and efficiency all change slightly from the original values with the rotating of receivers. The rotating of receivers does not affect the systems. There is no directivity in single-wire power transfer systems.
- The characteristics of multi-loads are also studied. The multi-load distribution forms can be chained and emanant. The distribution forms are flexible. These two forms all can distribute power evenly. This feature lays the foundation for powering WSNs.
- Harvesting energy from nature and wireless power transfer technology are the main solutions to powering WSNs. However, these two methods have the problem of low efficiency. The load of mobile devices carrying transmitters is limited in the wireless power transfer method. This method is limited to charging one node at a time. However, the single-wire power transfer method still could maintain high efficiencies in a certain range and charge multiple nodes at a time. As a result, the single-wire power transfer method is more suitable for WSNs compared with other solutions.
- The feasibility of the single-wire power transfer method for WSNs is proved in this paper. The structure of the single-wire power transfer system is not genuine wireless power transfer because of the existence of the single wire. Besides, the system performance can still be improved, such as efficiency. Medium replacement of the single wire can make this method more suitable for WSNs. The system performance can be improved from the perspective of system parameters and system structure. The electromagnetic losses of the single wire can be decreased by changing system parameters, such as the frequency and radius of the single wire. The coupling losses between the coils and single wire can be decreased by novel structures, such as a conical horn. Medium replacement and the improvement of system performance are the two most significant research directions of the single-wire power transfer method in the future.
Author Contributions
Funding
Conflicts of Interest
References
- Luigi, A.; Antonio, I.; Giacomo, M. Wireless sensor networks: A survey. Comput. Netw. 2010, 54, 2787–2805. [Google Scholar]
- Rashid, M.M.; Gondal, I.; Kamruzzaman, J. Mining Associated Patterns from Wireless Sensor Networks. IEEE Trans. Comput. 2015, 64, 1998–2011. [Google Scholar] [CrossRef]
- Han, G.; Jiang, J.; Zhang, C.; Duong, T.Q.; Guizani, M.; Karagiannidis, G.K. A Survey on Mobile Anchor Node Assisted Localization in Wireless Sensor Networks. IEEE Commun. Surv. Tutor. 2016, 18, 2220–2243. [Google Scholar] [CrossRef]
- Akyildiz, I.F.; Su, W.; Sankarasubramaniam, Y.; Cayirci, E.J. A survey on sensor networks. IEEE Commun. Mag. 2002, 40, 102–114. [Google Scholar] [CrossRef] [Green Version]
- Sambo, D.W.; Forster, A.; Yenke, B.O.; Sarr, I.; Journal, P.D. Wireless Underground Sensor Networks Path Loss Model for Precision Agriculture (WUSN-PLM). IEEE Sens. J. 2020, 20, 5298–5313. [Google Scholar] [CrossRef]
- Prapti, G.; Kam, N.; Instrumentation, P.W. Measurement, Wireless Sensor Network System for Landslide Monitoring and Warning. IEEE Trans. Instrum. Meas. 2018, 68, 1210–1220. [Google Scholar]
- Arroyo, P.; Herrero, J.; Suárez, J.; Lozano, J.J. Wireless Sensor Network Combined with Cloud Computing for Air Quality Monitoring. Sensors 2019, 19, 691. [Google Scholar] [CrossRef] [PubMed] [Green Version]
- Tong, B.; Wang, G.; Zhang, W.; Wang, C. Node Reclamation and Replacement for Long-Lived Sensor Networks. Ieee Transactions on Parallel and Distributed Systems. IEEE Trans. Parallel Distrib. Syst. 2011, 22, 1550–1563. [Google Scholar] [CrossRef]
- Fujimoto, T.; Uto, S.; Ishizuka, Y.; Fujishima, T. Energy Storage Solution for Wireless Sensor Network Used in Bridge Surface Corrosion Monitoring. Electron. Lett. 2019, 55, 1186–1188. [Google Scholar] [CrossRef]
- Yue, X.; Kiely, J.; Gibson, D.; Drakakis, M.E. Charge-Based Supercapacitor Storage Estimation for Indoor Sub-mW Photovoltaic Energy Harvesting Powered Wireless Sensor Nodes. IEEE Trans. Ind. Electron. 2019, 67, 2411–2421. [Google Scholar] [CrossRef] [Green Version]
- Tang, M.; Guan, Q.; Wu, X.; Zeng, X.; Zhang, Z.; Yuan, Y. A high-efficiency multidirectional wind energy harvester based on impact effect for self-powered wireless sensors in the grid. Smart Mater. Struct. 2019, 28. [Google Scholar] [CrossRef]
- Jellard, S.C.J.; Pu, S.-H.; Chen, S.; Yao, K. Water droplet impact energy harvesting with P(VDF-TrFE) piezoelectric cantilevers on stainless steel substrates. Smart Mater. Struct. 2019, 28. [Google Scholar] [CrossRef]
- Saravanakumar, K. Microbial fuel cell–based self-powered biosensor for environment monitoring in IoT cloud framework. Concurr. Comp. Pract. E 2019, 31, e5165. [Google Scholar] [CrossRef]
- Yang, P.; Zi, L.; Zhang, W.; Qiao, D. Prolonging Sensor Network Lifetime Through Wireless Charging, IEEE Real-time Systems Symposium. In Proceedings of the 31st IEEE Real-Time Systems Symposium, San Diego, CA, USA, 30 November–3 December 2010. [Google Scholar]
- Xie, L.; Shi, Y.; Hou, Y.T.; Sherali, H.D. Making Sensor Networks Immortal: An Energy-Renewal Approach with Wireless Power Transfer. IEEE/ACM Trans. Netw. 2012, 20, 1748–1761. [Google Scholar] [CrossRef]
- Covic, G.A.; Boys, J.T. Modern Trends in Inductive Power Transfer for Transportation Applications. IEEE J. Emerg. Sel. Top. Power Electr. 2013, 1, 28–41. [Google Scholar] [CrossRef]
- Song, J.; Zhao, X.; Wu, X.; Xuan, R. High rectification efficiency direct bandgap Ge1−xSnx Schottky diode for microwave wireless power transfer. Appl. Phys. A 2019, 125. [Google Scholar] [CrossRef]
- Jin, K.; Zhou, W. Wireless Laser Power Transmission: A Review of Recent Progress. IEEE Trans. Power Electr. 2018. [Google Scholar] [CrossRef]
- Meng, M.; Kiani, M. Design and Optimization of Ultrasonic Wireless Power Transmission Links for Millimeter-Sized Biomedical Implants. IEEE Trans. Biomed. Circuits Syst. 2017, 11, 98–107. [Google Scholar] [CrossRef] [PubMed]
- Johnson, J.; Basha, E.; Detweiler, C. Charge selection algorithms for maximizing sensor network life with UAV-based limited wireless recharging. In Proceedings of the IEEE Eighth International Conference on Intelligent Sensors, Melbourne, Australia, 2–5 April 2013. [Google Scholar]
- Griffin, B.; Detweiler, C. Resonant wireless power transfer to ground sensors from a UAV. In Proceedings of the IEEE International Conference on Robotics & Automation, St Paul, MN, USA, 14–19 May 2012. [Google Scholar]
- Tesla, N. Apparatus for Transmitting Electrical Energy. U.S. Patent 1119732, 1 December 1914. [Google Scholar]
- Shu, X.; Zhang, B. Single-Wire Electric-Field Coupling Power Transmission Using Nonlinear Parity-Time-Symmetric Model with Coupled-Mode Theory. Energies. Energies 2018, 11, 532. [Google Scholar] [CrossRef] [Green Version]
- Chen, X.; Chen, J.; Li, G.; Mu, X.; Chen, Q. Electric-field-coupled single-wire power transmission—Analytical model and experimental demonstration. In Proceedings of the 19th International Symposium on Power Electronics (Ee), Novi Sad, Serbia, 19–21 October 2017. [Google Scholar]
X-Axis | Y-Axis | Z-Axis | Transmitting Power (W) | Receiving Power (W) | Efficiencies |
---|---|---|---|---|---|
45° | 45° | 45° | 86.51 | 78.51 | 90.75% |
135° | 87.39 | 78.38 | 89.69% | ||
135° | 45° | 93.67 | 85.77 | 91.57% | |
135° | 97.57 | 88.49 | 90.69% | ||
135° | 45° | 45° | 98.32 | 91.39 | 92.95% |
135° | 94.83 | 87.40 | 92.16% | ||
135° | 45° | 82.75 | 77.48 | 93.63% | |
135° | 85.71 | 80.18 | 93.55% |
Transmission Distances (cm) | Efficiencies of Single-Wire Power Transfer System | Efficiencies of WPT System |
---|---|---|
5 | 84.65% | 78.05% |
10 | 83.16% | 74.16% |
15 | 84.47% | 69.40% |
20 | 80.54% | 41.58% |
25 | 82.23% | 30.63% |
30 | 83.79% | 18.28% |
35 | 84.87% | 10.25% |
40 | 85.01% | 6.17% |
45 | 84.36% | 3.53% |
50 | 83.79% | 1.86% |
X-Axis | Y-Axis | Z-Axis | Transmitting Power in Experiments (W) | Receiving Power in Experiments (W) | Efficiencies in Experiments | Efficiencies in Simulations |
---|---|---|---|---|---|---|
45° | 45° | 45° | 90.12 | 64.58 | 71.66% | 90.75% |
135° | 87.98 | 62.53 | 71.07% | 89.69% | ||
135° | 45° | 90.45 | 64.26 | 71.04% | 91.57% | |
135° | 89.26 | 63.78 | 71.45% | 90.69% | ||
135° | 45° | 45° | 92.56 | 66.68 | 72.04% | 92.95% |
135° | 86.29 | 61.29 | 71.03% | 92.16% | ||
135° | 45° | 90.17 | 63.17 | 70.06% | 93.63% | |
135° | 90.56 | 65.28 | 72.08% | 93.55% |
Multi-Load Distribution Forms | Numbers of Loads | Simulation Efficiencies | Experimental Efficiencies |
---|---|---|---|
Chained multi-load systems | 2 (P1) | 90.65% | 70.00% |
2 (P2) | 94.93% | 73.01% | |
4 (P1) | 86.94% | 65.99% | |
4 (P2) | 90.53% | 71.00% | |
4 (P3) | 91.83% | 69.01% | |
Emanant multi-load systems | 4 | 91.77% | 71.06% |
5 | 82.22% | 62.37% | |
6 | 73.53% | 52.59% | |
7 | 66.14% | 45.33% | |
8 | 56.21% | 32.50% |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Li, Y.; Wang, R.; Zhai, Y.-J.; Li, Y.; Ni, X.; Ma, J.; Liu, J. A Novel Single-Wire Power Transfer Method for Wireless Sensor Networks. Energies 2020, 13, 5182. https://doi.org/10.3390/en13195182
Li Y, Wang R, Zhai Y-J, Li Y, Ni X, Ma J, Liu J. A Novel Single-Wire Power Transfer Method for Wireless Sensor Networks. Energies. 2020; 13(19):5182. https://doi.org/10.3390/en13195182
Chicago/Turabian StyleLi, Yang, Rui Wang, Yu-Jie Zhai, Yao Li, Xin Ni, Jingnan Ma, and Jiaming Liu. 2020. "A Novel Single-Wire Power Transfer Method for Wireless Sensor Networks" Energies 13, no. 19: 5182. https://doi.org/10.3390/en13195182
APA StyleLi, Y., Wang, R., Zhai, Y.-J., Li, Y., Ni, X., Ma, J., & Liu, J. (2020). A Novel Single-Wire Power Transfer Method for Wireless Sensor Networks. Energies, 13(19), 5182. https://doi.org/10.3390/en13195182