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Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks

Energy-efficient task offloading, load balancing, and resource allocation in mobile edge... SCIENCE CHINA Information Sciences . February 2019, Vol. 62 029307:1–029307:3 LETTER https://doi.org/10.1007/s11432-017-9440-x Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks 1* 2 3 4 Shulei LI , Daosen ZHAI , Pengfei DU & Ting HAN Tianyuan Ruixin Communication Technology Co. Ltd., Xi’an 710071, China; School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710071, China; The 10th Institute of China Electronics Technology Group Corporation (CETC), Chengdu 610036, China; The 504th Institute of China Space Technology, Xi’an 710199, China Received 20 December 2017/Revised 10 March 2018/Accepted 3 May 2018/Published online 30 November 2018 Citation Li S L, Zhai D S, Du P F, et al. Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks. Sci China Inf Sci, 2019, 62(2): 029307, https://doi.org/10.1007/ s11432-017-9440-x Dear editor, We then decouple the joint optimization into two The constraints on energy supply for smart mo- subproblems and devise a low complexity algo- bile devices (SMDs) have obstructed the develop- rithm called joint offloading, load balancing, and ment of IoT. Mobile edge computing (MEC) [1] power allocation algorithm (OLP) to solve it. In is a promising way to overcome the abovemen- OLP, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png "Science China Information Sciences" Springer Journals

Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks

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Publisher
Springer Journals
Copyright
Copyright © Science China Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018
ISSN
1674-733X
eISSN
1869-1919
DOI
10.1007/s11432-017-9440-x
Publisher site
See Article on Publisher Site

Abstract

SCIENCE CHINA Information Sciences . February 2019, Vol. 62 029307:1–029307:3 LETTER https://doi.org/10.1007/s11432-017-9440-x Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks 1* 2 3 4 Shulei LI , Daosen ZHAI , Pengfei DU & Ting HAN Tianyuan Ruixin Communication Technology Co. Ltd., Xi’an 710071, China; School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710071, China; The 10th Institute of China Electronics Technology Group Corporation (CETC), Chengdu 610036, China; The 504th Institute of China Space Technology, Xi’an 710199, China Received 20 December 2017/Revised 10 March 2018/Accepted 3 May 2018/Published online 30 November 2018 Citation Li S L, Zhai D S, Du P F, et al. Energy-efficient task offloading, load balancing, and resource allocation in mobile edge computing enabled IoT networks. Sci China Inf Sci, 2019, 62(2): 029307, https://doi.org/10.1007/ s11432-017-9440-x Dear editor, We then decouple the joint optimization into two The constraints on energy supply for smart mo- subproblems and devise a low complexity algo- bile devices (SMDs) have obstructed the develop- rithm called joint offloading, load balancing, and ment of IoT. Mobile edge computing (MEC) [1] power allocation algorithm (OLP) to solve it. In is a promising way to overcome the abovemen- OLP,

Journal

"Science China Information Sciences"Springer Journals

Published: Nov 30, 2018

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