Quantum Coherence Harvesting in Ambient Electromagnetic Noise for Self-Powered IoT Sensor Networks

  • Authors

    • Vishnu Vardhan Chakravaram Product Development Engineer, Digital Scripts Inc., USA. Author
    • Mahesh Marri Senior Electrical Engineer, Amazon Web Services, USA. Author

    DOI:

    https://doi.org/10.67228/30713498/IJADSMC-2021PII7J6V

    Published 11-07-2021

  • Quantum Coherence, Environment-Assisted Quantum Transport, RF Energy Harvesting, Meta Surface Rectenna, Internet of Things, Self-Powered Sensors, SWIPT, Nanogenerator, Ambient Electromagnetic Noise, Dephasing-Assisted Transport, Wireless Sensor Networks, Energy Autonomy

    Issue

    Vol. 4 No. 2 (2021)

    Section

    Articles

  • Abstract

    The rapid growth of Internet of Things (IoT) sensor networks has increased the need for energy-independent operation, as conventional battery-powered systems face scalability and maintenance challenges. This study proposes a conceptual framework for self-powered IoT sensor nodes using quantum coherence harvesting from ambient electromagnetic (EM) noise. Inspired by Environment-Assisted Quantum Transport (ENAQT), the framework integrates metasurface-based RF energy harvesting, simultaneous wireless information and power transfer (SWIPT), nanogenerators, and low-power wireless sensor networks. Reported results include over 52% microwave rectification efficiency, up to 310 μW harvested power per node in SWIPT systems, a 28% enhancement in coherence lifetime through ENAQT, and over 180 μW from hybrid IoT energy harvesters. The study highlights the potential of combining quantum coherence, advanced rectenna designs, and low-power networking to enable scalable self-powered IoT systems, while addressing challenges related to coherence time, impedance matching, and energy management.

  • References

    [1] A. A. G. Amer, S. Z. Sapuan, N. Nasimuddin, A. Alphones, and N. B. Zinal, "A comprehensive review of metasurface structures suitable for RF energy harvesting," IEEE Access, vol. 8, pp. 76433–76452, 2020, doi: 10.1109/ACCESS.2020.2989516.

    [2] D. K. P. Asiedu, H. Lee, and K.-J. Lee, "Simultaneous wireless information and power transfer for decode-and-forward multi-hop relay systems in energy-constrained IoT networks," IEEE Access, vol. 7, pp. 111504–111519, 2019, doi: 10.1109/ACCESS.2019.2934397.

    [3] O. Brini, D. Deslandes, and F. Nabki, "A system-level methodology for the design of reliable low-power wireless sensor networks," Sensors, vol. 19, no. 8, Art. no. 1800, 2019, doi: 10.3390/s19081800.

    [4] M. Cansiz, D. Altinel, and G. K. Kurt, "Efficiency in RF energy harvesting systems: A comprehensive review," Energy, vol. 174, pp. 292–309, 2019, doi: 10.1016/j.energy.2019.02.189.

    [5] A. W. Chin, A. Datta, F. Caruso, S. F. Huelga, and M. B. Plenio, "Noise-assisted energy transfer in quantum networks and light-harvesting complexes," New J. Phys., vol. 12, no. 6, Art. no. 065002, 2010, doi: 10.1088/1367-2630/12/6/065002.

    [6] B. Ghaderi, V. Nayyeri, M. Soleimani, and O. M. Ramahi, "Pixelated metasurface for dual-band and multi-polarization electromagnetic energy harvesting," Sci. Rep., vol. 8, Art. no. 13227, 2018, doi: 10.1038/s41598-018-31661-6.

    [7] S. F. Huelga and M. B. Plenio, "Vibrations, quanta and biology," Contemp. Phys., vol. 54, no. 4, pp. 181–207, 2013, doi: 10.1080/00405000.2013.829687.

    [8] F. H. Kamin, F. T. Tabesh, S. Salimi, and A. C. Santos, "Entanglement, coherence and charging process of quantum batteries," Phys. Rev. E, vol. 102, no. 5, Art. no. 052109, 2020, doi: 10.1103/PhysRevE.102.052109.

    [9] H. Kwon and M. S. Kim, "Fluctuation theorems for a quantum channel," Phys. Rev. X, vol. 9, no. 3, Art. no. 031029, 2019, doi: 10.1103/PhysRevX.9.031029.

    [10] J. A. Leon-Gil et al., "Medium and short wave RF energy harvester for powering wireless sensor networks," Sensors, vol. 18, no. 3, Art. no. 768, 2018, doi: 10.3390/s18030768.

    [11] M. B. Plenio and S. F. Huelga, "Dephasing-assisted transport: Quantum networks and biomolecules," New J. Phys., vol. 10, no. 11, Art. no. 113019, 2008, doi: 10.1088/1367-2630/10/11/113019.

    [12] M. Prauzek et al., "Energy harvesting sources, storage devices and system topologies for environmental wireless sensor networks: A review," Sensors, vol. 18, no. 8, Art. no. 2446, 2018, doi: 10.3390/s18082446.

    [13] O. A. Saraereh, A. Alsaraira, I. Khan, and B. J. Choi, "A hybrid energy harvesting design for on-body Internet-of-Things (IoT) networks," Sensors, vol. 20, no. 2, Art. no. 407, 2020, doi: 10.3390/s20020407.

    [14] X. Tang, X. Wang, R. Cattley, F. Gu, and A. D. Ball, "Energy harvesting technologies for achieving self-powered wireless sensor networks in machine condition monitoring: A review," Sensors, vol. 18, no. 12, Art. no. 4113, 2018, doi: 10.3390/s18124113.

    [15] P. Thainiramit, P. Yingyong, and D. Isarakorn, "Impact-driven energy harvesting: Piezoelectric versus triboelectric energy harvesters," Sensors, vol. 20, no. 20, Art. no. 5828, 2020, doi: 10.3390/s20205828.

    [16] B. Thoen, G. Callebaut, G. Leenders, and S. Wielandt, "A deployable LPWAN platform for low-cost and energy-constrained IoT applications," Sensors, vol. 19, no. 3, Art. no. 585, 2019, doi: 10.3390/s19030585.

    [17] Z. Wu, T. Cheng, and Z. L. Wang, "Self-powered sensors and systems based on nanogenerators," Sensors, vol. 20, no. 10, Art. no. 2925, 2020, doi: 10.3390/s20102925.

    [18] R. Zhang and C. K. Ho, "MIMO broadcasting for simultaneous wireless information and power transfer," IEEE Trans. Wireless Commun., vol. 12, no. 5, pp. 1989–2001, 2013, doi: 10.1109/TWC.2013.031813.120224.

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