Distributed Computation Offloading in Mobile Fog Computing: A Deep Neural Network Approach

In this letter, the performance of offloading is studied, which aims at minimizing the energy consumption in offloading with constraints on the delay. To solve binary computational offloading decision problem, a learning offloading algorithm based on distributed DNN is proposed, which uses multiple...

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Veröffentlicht in:	IEEE communications letters Jg. 26; H. 3; S. 696 - 700
Hauptverfasser:	Yang, Zhongjun, Bai, Wenle
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.03.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial neural networks Back propagation Back propagation networks Cloud computing Computation offloading Decisions Delay Delays DEWS metric distributed DNN Energy consumption Entropy (Information theory) joint optimization Machine learning Measurement Mobile computing Mobile fog computing offloading computation Optimization Servers Task analysis Wireless communication
ISSN:	1089-7798, 1558-2558
Online-Zugang:	Volltext
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