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• W3009638410 abstract "In this paper, we study a joint energy harvesting (EH) and task offloading (TO) design for an energy- constrained fog computing network, which consists of a mobile terminal and two fog nodes. The energy- constrained terminal employs time switching (TS) protocol to harvest energy from the signals sent by the circuit-powered fog node, and then exploits the harvested energy to perform local computing and offload computing. Our aim is to minimize the product of energy consumption and time delay with the constraints of TS ratio and EH requirements. To determine the optimal solution of the original non-convex problem, we decouple it into three subproblems based on the time delay assumption and then solve these subproblems through our proposed constraints activation algorithm. Furthermore, we also derive the closed form expressions for the optimal TO and TS ratios. Simulation results are presented to illustrate the effectiveness and superior performance of the proposed joint design against other conventional schemes in the literature." @default.
• W3009638410 created "2020-03-13" @default.
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• W3009638410 date "2019-12-01" @default.
• W3009638410 modified "2023-10-14" @default.
• W3009638410 title "Joint Optimization of Energy Consumption and Time Delay in Energy-Constrained Fog Computing Networks" @default.
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• W3009638410 doi "https://doi.org/10.1109/globecom38437.2019.9013785" @default.
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