May 9, 2023 � In this letter, we propose a battery-assisted approach to improve energy efficiency for mobile edge computing (MEC) networks by utilizing�...
Optimal Task Allocation for Battery-Assisted and Price-Aware Mobile Edge Computing. Deng, Tao; You, Lei; Yu, Zhanwei; Yuan, Di. Published in: IEEE Networking�...
Abstract: In this letter, we propose a battery-assisted approach to improve energy efficiency for mobile edge computing (MEC) networks by utilizing the�...
In this paper, we propose a battery-assisted approach to improve energy efficiency for mobile edge computing (MEC) networks by utilizing the�...
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May 9, 2022 � A battery level-aware task-scheduling framework is proposed to improve the energy efficiency and prolong the operating hours of battery-powered mobile devices.
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In this paper, we first consider a two-user MEC network, where each WD has a sequence of tasks to execute. In particular, we consider task dependency between�...
In this paper, we aim to minimize the total execution cost of multiple devices by offloading the computations from SMDs onto edge clouds in edge cloud computing�...
In this paper, we focus on a UAV-assisted MEC system in which the UAV equipped with MEC servers is used to assist user devices in computing their tasks.
Oct 27, 2022 � We address the problem of task allocation with minimum total energy consumption considering multi-task settings in MEC, in which a mobile device has one or�...