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This paper presents a novel approach to enhance energy harvesting systems from ambient Radio Frequency (RF) sources in overcrowded environments. In environments like shopping malls, coffee shops, and airports, where wireless devices are prevalent, the electromagnetic energy emitted by these devices can be harvested and converted into electrical energy to power small devices, specifically those associated with the Social Internet of Things (SIoT). However, due to the high density of devices in such environments, the RF signals can be weak, resulting in low energy harvesting efficiency. This study focuses on developing technologies for wireless power transfer through a radio frequency ambient energy harvesting scheme, specifically designing to improve energy harvesting systems in crowded social environments. Recognizing the growing importance of energy harvesting for low-power devices in intelligent environments, our proposed method utilizes the ambient environment to capture energy in the downlink radio frequency range of the GSM-900 band. The system architecture comprises four main stages: a supercapacitor, a Villard voltage doubler circuit with seven stages, a lumped element matching network, and a microstrip patch antenna. The voltage doubler circuit is designed and simulated using the Agilent Advanced Design System (ADS) 2014 environment, and simulations and tests are conducted across different input power levels. Throughout the study, several key factors are identified as crucial to the system’s efficiency, including the frequency band, input power level, voltage doubler circuit design, impedance matching, diode selection, number of rectification stages, and load resistance. The proposed method demonstrates significant potential in enhancing the energy harvesting efficiency from ambient RF sources in crowded social environments. By providing a sustainable power source for SIoT devices in such settings, our approach contributes to the advancement of energy harvesting capabilities and supports the practical implementation of energy-efficient technologies in intelligent and socially interconnected environments.
H. Nornikman, B. H. Ahmad, M. Fareq, A. Malek, M. Z. A. A. Aziz, A. R. Aziz, H. A. Bakar, M. Syafiq, M. S. N. Azizi, M. K. Zahari, et al., Radio frequency (RF) energy harvesting using metamaterial structure for antenna/rectenna communication network: A review, J. Theoretical and Applied Information Technology, vol. 96, no. 6, pp. 1538–1550, 2018.
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.
N. Kaur, N. Sharma, and N. Kumar, RF energy harvesting and storage system of rectenna: A review, Indian J. Sci. Technol., vol. 11, no. 24, pp. 1–5, 2018.
M. Zeng, A. S. Andrenko, X. Liu, Z. Li, and H. Z. Tan, A compact fractal loop rectenna for RF energy harvesting, Antennas Wirel. Propag. Lett., vol. 16, pp. 2424–2427, 2017.
H. Li, C. Tian, and Z. D. Deng, Energy harvesting from low frequency applications using piezoelectric materials, Appl. Phys. Rev., vol. 1, no. 4, p. 041301, 2014.
K. R. Devi, A. J. Rani, and A. M. Prasad, Perfomance comparison of diferent shapes of patch antenna on sapphire for RFID application, Int. J. Innovative Research in Computer and Communication Engineering, vol. 3, no. 8, pp. 7679–7686, 2015.
K. Ashton, That ‘Internet of Things’ thing, RFiD J., vol. 22, pp. 97–114, 2009.
N. M. Din, C. K. Chakrabarty, A. B. Ismail, K. K. A. Devi, and W. Y. Chen, Design of RF energy harvesting system for energizing low power devices, Prog. Electromagn. Res., vol. 132, pp. 49–69, 2012.
H. Jabbar, Y. S. Song, and T. T. Jeong, RF energy harvesting system and circuits for charging of mobile devices, IEEE Trans. Consum. Electron., vol. 56, no. 1, pp. 247–253, 2010.
K. K. A. Devi, S. Sadasivam, N. M. Din, C. K. Chakrabarthy, and S. K. Rajib, Design of a wideband 377 Ω E-shaped patch antenna for RF energy harvesting, Micro and Optical Tech Lett., vol. 54, no. 3, pp. 569–573, 2012.
M. A. Sudha, M. P. Vishnu, and R. Deepan, Smart power generation using radio-frequency waves, Int. J. Eng. Comput. Sci., vol. 5, no. 2, pp. 15755–15760, 2016.
P. Nintanavongsa, U. Muncuk, D. R. Lewis, and K. R. Chowdhury, Design optimization and implementation for RF energy harvesting circuits, IEEE J. Emerg. Sel. Topics Circuits Syst., vol. 2, no. 1, pp. 24–33, 2012.
A. Nimo, T. Beckedahl, T. Ostertag, and L. Reindl, Analysis of passive RF-DC power rectification and harvesting wireless RF energy for micro-watt sensors, AIMS Energy, vol. 3, no. 2, pp. 184–200, 2015.
R. E. Barnett, J. Liu, and S. Lazar, A RF to DC voltage conversion model for multi-stage rectifiers in UHF RFID transponders, IEEE J. Solid State Circuits, vol. 44, no. 2, pp. 354–370, 2009.
R. J. Vyas, B. B. Cook, Y. Kawahara, and M. M. Tentzeris, A batteryless embedded sensor-platform wirelessly powered from ambient digital-TV signals, IEEE Trans. Microw Theory Tech., vol. 61, no. 6, pp. 2491–2505, 2013.
M. Pinuela, P. D. Mitcheson, and S. Lucyszyn, Ambient RF energy harvesting in urban and semi-urban environments, IEEE Trans. Microwave Theory Techn., vol. 61, no. 7, pp. 2715–2726, 2013.
A. Nimo, D. Grgić, and L. M. Reindl, Optimization of passive low power wireless electromagnetic energy harvesters, Sensors, vol. 12, no. 10, pp. 13636–13663, 2012.
K. K. A. Devi, N. M. Din, and C. Chakrabarty, Optimization of the voltage doubler stages in an RF-DC convertor module for energy harvesting, Circuits and Systems, vol. 3, no. 3, pp. 216–222, 2012.
H. H. Attar, A. A. A. Solyman, A. E. F. Mohamed, M. R. Khosravi, V. G. Menon, A. K. Bashir, and P. Tavallali, Efficient equalisers for OFDM and DFrFT-OCDM multicarrier systems in mobile E-health video broadcasting with machine learning perspectives, Phys. Commun., vol. 42, p. 101173, 2020.
A. A. A. Solyman, H. Attar, M. R. Khosravi, V. G. Menon, A. Jolfaei, V. Balasubramanian, B. Selvaraj, and P. Tavallali, A low-complexity equalizer for video broadcasting in cyber-physical social systems through handheld mobile devices, IEEE Access, vol. 8, pp. 67591–67602, 2020.
L. A. F. M. Ferreira, Evaluation of short-term wind predictability, IEEE Trans. Energy Conversion, vol. 7, no. 3, pp. 409–417, 1992.
R. Vennell, Exceeding the Betz limit with tidal turbines, Renew. Energy, vol. 55, pp. 277–285, 2013.
O. Ulleberg, Modeling of advanced alkaline electrolyzers: A system simulation approach, Int. J. Hydrog. Energy, vol. 28, no. 1, pp. 21–33, 2003.
R. Blasco-Gimenez, S. Añó-Villalba, J. Rodríguez-D’derlée, F. Morant, and S. Bernal, Control of an off-shore synchronous generator based wind farm with uncontrolled rectifier HVDC connection, IFAC Proc. Vol., vol. 43, no. 1, pp. 1–6, 2010.
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