Abstract
Wireless power transfer attracts significant attention from both academia and industry. While most previous studies have primarily focused on optimizing charging sequences and/or durations for one or more mobile chargers, we concentrate on collaboration between mobile chargers. In this context, what we mean by “collaboration” is that chargers can exchange energy. We will first show the collaboration benefit in terms of charging coverage and energy usage effectiveness, then we will show how to design collaboration-based scheduling algorithms using a simple yet representative setting. Finally, we will demonstrate several extensions in which previous assumptions are relaxed one by one. We also use simulations to evaluate our theoretical findings and investigate the effects of important design parameters.
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Acknowledgments
Jie Wu is supported in part by NSF grants CNS 1461932, CNS 1460971, CNS 1449860, IIP 1439672, and CNS 1156574. Sheng Zhang is supported in part by NSFC grants (61502224, 61472181, 61472185, and 91218302), China Postdoctoral Science Fund (2015M570434), and Collaborative Innovation Center of Novel Software Technology and Industrialization.
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Zhang, S., Wu, J. (2016). Collaborative Mobile Charging. In: Nikoletseas, S., Yang, Y., Georgiadis, A. (eds) Wireless Power Transfer Algorithms, Technologies and Applications in Ad Hoc Communication Networks. Springer, Cham. https://doi.org/10.1007/978-3-319-46810-5_19
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DOI: https://doi.org/10.1007/978-3-319-46810-5_19
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