Improve energy consumption and packet scheduling for mobile edge computing

Yibo Yang; Honglin Zhao; Xuemai Gu

doi:10.1007/978-981-10-6571-2_201

Improve energy consumption and packet scheduling for mobile edge computing

Yibo Yang^*
, Honglin Zhao
, Xuemai Gu

^*Corresponding author for this work

School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of smart mobile devices by using computation offloading. In this paper, we jointly formulate an optimization problem to minimize both energy consumption and packet scheduling. By adopting Promoted-by-probability (PBP) scheme, we efficiently control packet jamming of different priority packets transmitting to MEC. A modified krill herd met heuristic optimization algorithm is presented for the purpose of obtaining the optimal results of minimizing the total overhead of MEC. The evaluation study demonstrates that our proposal can outperform efficiently in terms energy consumption and execution packet jamming.

Original language	English
Title of host publication	Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems
Editors	Qilian Liang, Min Jia, Jiasong Mu, Wei Wang, Xuhong Feng, Baoju Zhang
Publisher	Springer Verlag
Pages	1659-1666
Number of pages	8
ISBN (Print)	9789811065705
DOIs	https://doi.org/10.1007/978-981-10-6571-2_201
State	Published - 2019
Externally published	Yes
Event	6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 - Harbin, China Duration: 14 Jul 2017 → 16 Jul 2017

Publication series

Name	Lecture Notes in Electrical Engineering
Volume	463
ISSN (Print)	1876-1100
ISSN (Electronic)	1876-1119

Conference

Conference	6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017
Country/Territory	China
City	Harbin
Period	14/07/17 → 16/07/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Krill herd algorithm
Mobile edge computing
Offloading

Access to Document

10.1007/978-981-10-6571-2_201

Cite this

Yang, Y., Zhao, H., & Gu, X. (2019). Improve energy consumption and packet scheduling for mobile edge computing. In Q. Liang, M. Jia, J. Mu, W. Wang, X. Feng, & B. Zhang (Eds.), Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems (pp. 1659-1666). (Lecture Notes in Electrical Engineering; Vol. 463). Springer Verlag. https://doi.org/10.1007/978-981-10-6571-2_201

Yang, Yibo ; Zhao, Honglin ; Gu, Xuemai. / Improve energy consumption and packet scheduling for mobile edge computing. Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. editor / Qilian Liang ; Min Jia ; Jiasong Mu ; Wei Wang ; Xuhong Feng ; Baoju Zhang. Springer Verlag, 2019. pp. 1659-1666 (Lecture Notes in Electrical Engineering).

@inproceedings{c5c02e1ac75b4acc8eaba78408fd272a,

title = "Improve energy consumption and packet scheduling for mobile edge computing",

abstract = "Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of smart mobile devices by using computation offloading. In this paper, we jointly formulate an optimization problem to minimize both energy consumption and packet scheduling. By adopting Promoted-by-probability (PBP) scheme, we efficiently control packet jamming of different priority packets transmitting to MEC. A modified krill herd met heuristic optimization algorithm is presented for the purpose of obtaining the optimal results of minimizing the total overhead of MEC. The evaluation study demonstrates that our proposal can outperform efficiently in terms energy consumption and execution packet jamming.",

keywords = "Krill herd algorithm, Mobile edge computing, Offloading",

author = "Yibo Yang and Honglin Zhao and Xuemai Gu",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.; 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017 ; Conference date: 14-07-2017 Through 16-07-2017",

year = "2019",

doi = "10.1007/978-981-10-6571-2\_201",

language = "英语",

isbn = "9789811065705",

series = "Lecture Notes in Electrical Engineering",

publisher = "Springer Verlag",

pages = "1659--1666",

editor = "Qilian Liang and Min Jia and Jiasong Mu and Wei Wang and Xuhong Feng and Baoju Zhang",

booktitle = "Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems",

address = "德国",

}

Yang, Y, Zhao, H & Gu, X 2019, Improve energy consumption and packet scheduling for mobile edge computing. in Q Liang, M Jia, J Mu, W Wang, X Feng & B Zhang (eds), Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. Lecture Notes in Electrical Engineering, vol. 463, Springer Verlag, pp. 1659-1666, 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017, Harbin, China, 14/07/17. https://doi.org/10.1007/978-981-10-6571-2_201

Improve energy consumption and packet scheduling for mobile edge computing. / Yang, Yibo; Zhao, Honglin; Gu, Xuemai.
Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. ed. / Qilian Liang; Min Jia; Jiasong Mu; Wei Wang; Xuhong Feng; Baoju Zhang. Springer Verlag, 2019. p. 1659-1666 (Lecture Notes in Electrical Engineering; Vol. 463).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Improve energy consumption and packet scheduling for mobile edge computing

AU - Yang, Yibo

AU - Zhao, Honglin

AU - Gu, Xuemai

PY - 2019

Y1 - 2019

N2 - Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of smart mobile devices by using computation offloading. In this paper, we jointly formulate an optimization problem to minimize both energy consumption and packet scheduling. By adopting Promoted-by-probability (PBP) scheme, we efficiently control packet jamming of different priority packets transmitting to MEC. A modified krill herd met heuristic optimization algorithm is presented for the purpose of obtaining the optimal results of minimizing the total overhead of MEC. The evaluation study demonstrates that our proposal can outperform efficiently in terms energy consumption and execution packet jamming.

AB - Mobile edge computing (MEC) has attracted great interests as a promising approach to augment computational capabilities of smart mobile devices by using computation offloading. In this paper, we jointly formulate an optimization problem to minimize both energy consumption and packet scheduling. By adopting Promoted-by-probability (PBP) scheme, we efficiently control packet jamming of different priority packets transmitting to MEC. A modified krill herd met heuristic optimization algorithm is presented for the purpose of obtaining the optimal results of minimizing the total overhead of MEC. The evaluation study demonstrates that our proposal can outperform efficiently in terms energy consumption and execution packet jamming.

KW - Krill herd algorithm

KW - Mobile edge computing

KW - Offloading

UR - https://www.scopus.com/pages/publications/85048667767

U2 - 10.1007/978-981-10-6571-2_201

DO - 10.1007/978-981-10-6571-2_201

M3 - 会议稿件

AN - SCOPUS:85048667767

SN - 9789811065705

T3 - Lecture Notes in Electrical Engineering

SP - 1659

EP - 1666

BT - Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems

A2 - Liang, Qilian

A2 - Jia, Min

A2 - Mu, Jiasong

A2 - Wang, Wei

A2 - Feng, Xuhong

A2 - Zhang, Baoju

PB - Springer Verlag

T2 - 6th International Conference on Communications, Signal Processing, and Systems, CSPS 2017

Y2 - 14 July 2017 through 16 July 2017

ER -

Yang Y, Zhao H, Gu X. Improve energy consumption and packet scheduling for mobile edge computing. In Liang Q, Jia M, Mu J, Wang W, Feng X, Zhang B, editors, Communications, Signal Processing, and Systems - Proceedings of the 2017 International Conference on Communications, Signal Processing, and Systems. Springer Verlag. 2019. p. 1659-1666. (Lecture Notes in Electrical Engineering). doi: 10.1007/978-981-10-6571-2_201

Improve energy consumption and packet scheduling for mobile edge computing

Abstract

Publication series

Conference

UN SDGs

Keywords

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