Game Theoretic Algorithm for Energy Efficient Mobile Edge Computing with Multiple Access Points

This paper considers a Mobile Edge Computing scenario with multiple mobile units (MUs), multiple access points (APs) and one cloudlet server. The MUs have to decide whether offloading their computation tasks to the cloudlet is energy wise beneficial. As there are multiple APs available to connect th...

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Veröffentlicht in:	Proceedings (IEEE International Conference on Mobile Cloud Computing, Services, and Engineering. Online) S. 31 - 38
Hauptverfasser:	Mahn, Tobias, Wirth, Maximilian, Klein, Anja
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.08.2020
Schlagworte:	game-theory Games joint-optimization Minimization mobile-edge-computing Multi-access edge computing Numerical simulation Optimization Resource management resource-allocation-strategy Servers Sorting Time factors
ISBN:	9781728110356, 1728110351
ISSN:	2573-7562
Online-Zugang:	Volltext
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