PROJECT TITLE :

Wireless Charger Placement and Power Allocation for Maximizing Charging Quality - 2018

ABSTRACT:

Wireless power transfer may be a promising technology used to extend the lifetime of, and therefore enhance the usability of, energy-hungry battery-powered devices. It enables energy to be wirelessly transmitted from power chargers to energy-receiving devices. Existing studies have mainly focused on maximizing network lifetime, optimizing charging potency, minimizing charging delay, etc. During this Project, we tend to take into account wireless charging service provision in a very two-dimensional target space and specialize in optimizing charging quality, where the power of each charger is adjustable. We tend to first consider the charger Placement and Power allocation Drawback with Stationary rechargeable devices (SP3): Given a collection of stationary devices and a group of candidate locations for placing chargers, find a charger placement and a corresponding power allocation to maximize the charging quality, subject to an influence budget. We prove that SP3 is NP-complete, and propose an approximation algorithm. We tend to additionally show how to deal with mobile devices (MP3), value-constrained power reconfiguration (CRP), and optimization with additional candidate locations. Extensive simulation results show that, the proposed algorithms perform terribly closely to the optimum (the gap is only four.five, 4.four, and 5.zero p.c of OPT in SP3, MP3, and CRP, respectively), and outperforms the baseline algorithms.


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