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Next-Generation Software-Defined Wireless Charging System

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Mission-Oriented Sensor Networks and Systems: Art and Science

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 164))

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Abstract

Recent research in the emerging field of RF wireless energy transfer and harvesting has shortcomings such as low charging rates, and real-time adaptability and intelligent control to changing energy demands of the network. In this chapter, we introduce DeepCharge, a new architecture for next-generation wireless charging systems that act as an integrated hardware and software solution, and consists of software controller, programmable energy transmitters with distributed energy beamforming, and multiband energy harvesting circuits. DeepCharge realizes a software-defined wireless charging system through separation of controller, energy, and hardware planes. We demonstrate our indoor and outdoor prototypes with extensive experimental measurements, and discuss the RF exposure safety limits besides the most important research challenges toward next-generation DeepCharge-based wireless charging architectures and systems.

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Notes

  1. 1.

    Plane-wave equivalent power density, which has both E-field and H-field components. Equivalent for far-field and near-field power density can be calculated based on: \(|E_{total}|^{2}/3770\,\mathrm{mW/cm}^{2}\), and \(|H_{total}|^{2}/37.7\, \mathrm{mW/cm}^{2}\).

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Acknowledgements

This work is supported by the funds available through the US National Science Foundation award CNS 1452628.

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Authors and Affiliations

  1. Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, 02115, USA

    M. Yousof Naderi, Ufuk Muncuk & Kaushik R. Chowdhury

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  1. M. Yousof Naderi
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  1. Wireless Sensor and Mobile Ad-hoc Network Applied Cryptography Engineering (WiSeMAN-ACE) Research Lab, Department of Electrical Engineering and Computer Science, Frank H. Dotterweich College of Engineering, Texas A&M University-Kingsville, Kingsville, TX, USA

    Habib M. Ammari

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Yousof Naderi, M., Muncuk, U., Chowdhury, K.R. (2019). Next-Generation Software-Defined Wireless Charging System. In: Ammari, H. (eds) Mission-Oriented Sensor Networks and Systems: Art and Science. Studies in Systems, Decision and Control, vol 164. Springer, Cham. https://doi.org/10.1007/978-3-319-92384-0_15

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