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• W2908164351 abstract "Battery energy is always limited in most wireless networked nodes, but wireless power transfer has the potential to address the problem for good. In this paper, we study the problem of collaborative charging decisions in Wireless Rechargeable Sensor Networks (WRSNs). In these networks, multiple Wireless Charging Vehicles (WCVs) need to decide which of the requesting sensors to charge and in what order. Our approach is to convert the decision makers, i.e., WCVs, into game players for higher profit. With the use of Nash Equilibrium, our newly designed scheme, named Game Theoretical Collaborative Charging Scheduling (GTCCS), enables WCVs to make optimal charging decisions. Besides, the result of the game is Pareto-optimal by carefully designing the rules of this game. We introduce the game theory model in this paper and explain how it is played by WCVs, with the goal of increasing overall energy usage efficiency. Extensive simulations and lab/field experiments show that GTCCS is able to achieve a much higher energy usage efficiency and lower the number of dead nodes. The dynamic characteristics of the GTCCS scheme also allow us to introduce the two unique features to further improve system performance, i.e., dynamic warning threshold for WCVs and sacrifice-charge." @default.
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• W2908164351 date "2018-12-01" @default.
• W2908164351 modified "2023-10-16" @default.
• W2908164351 title "GTCCS: A Game Theoretical Collaborative Charging Scheduling for On-Demand Charging Architecture" @default.
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• W2908164351 doi "https://doi.org/10.1109/tvt.2018.2872890" @default.
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