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• W4200420173 abstract "Mobile edge computing (MEC) has emerged for meeting the ever-increasing computation demands from mobile applications. Mobile users endowing with computation and energy harvesting (EH) capabilities, called EH devices, are desired in MEC systems. With computation capability, EH devices can switch between local computing and mobile-edge computing for better QoEs. With EH technologies, mobile users could survive perpetually for supporting long-term task processing. However, the heterogeneous computation resource among EH devices and edge servers, limited wireless resource as well as time-constrained harvestable energy challenge the computation offloading. This paper investigates a green MEC with EH devices and develops an effective EH computation offloading scheme towards minimizing delay for green MEC. We formulate and analyze the EH computation offloading problem with game theory. Then, an EH computation offloading game scheme, including the Lyapunov drift-based energy harvesting and computation offloading best response algorithms, is designed to find out optimal energy harvesting and computation offloading solutions to address the problem. The simulation results have been conducted to demonstrate the efficiency of the proposal." @default.
• W4200420173 created "2021-12-31" @default.
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• W4200420173 date "2022-02-01" @default.
• W4200420173 modified "2023-10-10" @default.
• W4200420173 title "Energy harvesting computation offloading game towards minimizing delay for mobile edge computing" @default.
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• W4200420173 doi "https://doi.org/10.1016/j.comnet.2021.108678" @default.
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