2020
DOI: 10.1002/spe.2839
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A review on the computation offloading approaches in mobile edge computing: A game‐theoreticperspective

Abstract: In recent years, novel mobile applications such as augmented reality, virtual reality, and three-dimensional gaming, running on handy mobile devices have been pervasively popular. With rapid developments of such mobile applications, decentralized mobile edge computing (MEC) as an emerging distributed computing paradigm is developed for serving them near the smart devices, usually in one hop, to meet their computation, and delay requirements. In the literature, offloading mechanisms are designed to execute such… Show more

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Cited by 77 publications
(50 citation statements)
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“…Wang et al [29] reviewed 17 offloading methods for edge computing environments in five dimensions of offloading destination, load balance of edge servers, device mobility, application partitioning and partition granularity. Shakarami et al [30] reviewed the computation offloading approaches based on game-theoretic for mobile edge computing. Salaht et al [31] surveyed works addressing the service placement problem in edge computing.…”
Section: C: Case 3: User 3 Moving Outside Edgesmentioning
confidence: 99%
“…Wang et al [29] reviewed 17 offloading methods for edge computing environments in five dimensions of offloading destination, load balance of edge servers, device mobility, application partitioning and partition granularity. Shakarami et al [30] reviewed the computation offloading approaches based on game-theoretic for mobile edge computing. Salaht et al [31] surveyed works addressing the service placement problem in edge computing.…”
Section: C: Case 3: User 3 Moving Outside Edgesmentioning
confidence: 99%
“…Besides, they utilized a game‐theoretic mechanism to model the negotiation and interactions between mobile devices for selecting them according to their computational capabilities in a time‐efficient fashion. Shakarami et al 11 have studied the game theoretic‐based offloading approaches in the mobile edge computing environment. They categorized the offloading approaches into four main classes: auction theory, classical game, evolutionary game, and hybrid game mechanisms and compared them in terms of evaluation tools, performance metrics, utilized techniques, and case studies.…”
Section: Related Workmentioning
confidence: 99%
“…Optimizing computation offloading is typically formulated as a Mixed Integer Non-Linear Programming (MINLP) problem, which is challenging to solve. The optimizing approaches of computation offloading in mobile edge computing are separated into several perspectives: game-theoretic methodology [ 9 ], machine learning methodology [ 10 ], queuing theory, and linear programming concerning other algorithms. Researchers are trying to solve computation offloading problems using various methods.…”
Section: Introductionmentioning
confidence: 99%