Neural Combinatorial Optimization for Energy-Efficient Offloading in Mobile Edge Computing

Computation offloading is an efficient approach to reduce the energy consumption of a mobile device (MD). In this paper, we consider the multi-user offloading problem for mobile edge computing (MEC) in a multi-server environment. Its aim is to minimize the total energy consumption of MDs. This probl...

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Veröffentlicht in:	IEEE access Jg. 8; S. 35077 - 35089
Hauptverfasser:	Jiang, Qingmiao, Zhang, Yuan, Yan, Jinyao
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Approximation algorithms Combinatorial analysis Computation offloading Computational modeling Computer architecture Edge computing Electronic devices Energy consumption Heuristic methods Machine learning Mathematical programming Mobile computing Mobile edge computing multi-pointer networks multidimensional multiple knapsack problem Neural networks Optimization reinforcement learning Servers Task analysis
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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