Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks

Luan N.T. Huynh; Quoc Viet Pham; Quang D. Nguyen; Xuan Qui Pham; Van Dung Nguyen; Eui Nam Huh

doi:10.1007/978-3-030-19063-7_11

Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks

Luan N.T. Huynh, Quoc Viet Pham, Quang D. Nguyen, Xuan Qui Pham, Van Dung Nguyen, Eui Nam Huh

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

5 Citations (Scopus)

Abstract

Recently, Multi-Access Edge Computing (MEC), which has been emerged as a key technology in 5G networks, enhances computation capabilities and power limitations of mobile devices (MDs) by offloading computation task to the nearby MEC servers. However, offloading the computation tasks can increase network traffics and incur extra delays. Most existing approaches focus on the computation offloading with multi-user single-MEC scenarios to decrease energy consumption and latency of the MDs. Towards this goal, we investigate a computation offloading strategy for two-tier 5G heterogeneous networks integrated with multi-MEC. In addition, we propose a random offloading search algorithm, called ROSA, that rapidly achieve the minimized energy consumption of the system considering the computation offloading decision strategies. Simulation results show that our proposed algorithm based on offloading scheme outperforms other two schemes in terms of energy consumption.

Original language	English
Title of host publication	Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019
Editors	Roslan Ismail, Sukhan Lee, Hyunseung Choo
Publisher	Springer Verlag
Pages	120-129
Number of pages	10
ISBN (Print)	9783030190620
DOIs	https://doi.org/10.1007/978-3-030-19063-7_11
Publication status	Published - 2019
Event	13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019 - Phuket, Thailand Duration: 4 Jan 2019 → 6 Jan 2019

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	935
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019
Country/Territory	Thailand
City	Phuket
Period	4/01/19 → 6/01/19

Bibliographical note

Publisher Copyright:
© Springer Nature Switzerland AG 2019.

Keywords

5G
Computation offloading
Heterogeneous
Multi-Access Edge Computing
Resource allocation

UN SDGs

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

Access to Document

10.1007/978-3-030-19063-7_11

Cite this

Huynh, L. N. T., Pham, Q. V., Nguyen, Q. D., Pham, X. Q., Nguyen, V. D., & Huh, E. N. (2019). Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks. In R. Ismail, S. Lee, & H. Choo (Eds.), Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019 (pp. 120-129). (Advances in Intelligent Systems and Computing; Vol. 935). Springer Verlag. https://doi.org/10.1007/978-3-030-19063-7_11

Huynh, Luan N.T. ; Pham, Quoc Viet ; Nguyen, Quang D. et al. / Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks. Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019. editor / Roslan Ismail ; Sukhan Lee ; Hyunseung Choo. Springer Verlag, 2019. pp. 120-129 (Advances in Intelligent Systems and Computing).

@inproceedings{92a04957ea6b46c0822c01ab8e580d5f,

title = "Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks",

abstract = "Recently, Multi-Access Edge Computing (MEC), which has been emerged as a key technology in 5G networks, enhances computation capabilities and power limitations of mobile devices (MDs) by offloading computation task to the nearby MEC servers. However, offloading the computation tasks can increase network traffics and incur extra delays. Most existing approaches focus on the computation offloading with multi-user single-MEC scenarios to decrease energy consumption and latency of the MDs. Towards this goal, we investigate a computation offloading strategy for two-tier 5G heterogeneous networks integrated with multi-MEC. In addition, we propose a random offloading search algorithm, called ROSA, that rapidly achieve the minimized energy consumption of the system considering the computation offloading decision strategies. Simulation results show that our proposed algorithm based on offloading scheme outperforms other two schemes in terms of energy consumption.",

keywords = "5G, Computation offloading, Heterogeneous, Multi-Access Edge Computing, Resource allocation",

author = "Huynh, {Luan N.T.} and Pham, {Quoc Viet} and Nguyen, {Quang D.} and Pham, {Xuan Qui} and Nguyen, {Van Dung} and Huh, {Eui Nam}",

note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2019.; 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019 ; Conference date: 04-01-2019 Through 06-01-2019",

year = "2019",

doi = "10.1007/978-3-030-19063-7_11",

language = "English",

isbn = "9783030190620",

series = "Advances in Intelligent Systems and Computing",

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Huynh, LNT, Pham, QV, Nguyen, QD, Pham, XQ, Nguyen, VD & Huh, EN 2019, Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks. in R Ismail, S Lee & H Choo (eds), Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019. Advances in Intelligent Systems and Computing, vol. 935, Springer Verlag, pp. 120-129, 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019, Phuket, Thailand, 4/01/19. https://doi.org/10.1007/978-3-030-19063-7_11

Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks. / Huynh, Luan N.T.; Pham, Quoc Viet; Nguyen, Quang D. et al.
Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019. ed. / Roslan Ismail; Sukhan Lee; Hyunseung Choo. Springer Verlag, 2019. p. 120-129 (Advances in Intelligent Systems and Computing; Vol. 935).

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

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T1 - Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks

AU - Huynh, Luan N.T.

AU - Pham, Quoc Viet

AU - Nguyen, Quang D.

AU - Pham, Xuan Qui

AU - Nguyen, Van Dung

AU - Huh, Eui Nam

N1 - Publisher Copyright: © Springer Nature Switzerland AG 2019.

PY - 2019

Y1 - 2019

N2 - Recently, Multi-Access Edge Computing (MEC), which has been emerged as a key technology in 5G networks, enhances computation capabilities and power limitations of mobile devices (MDs) by offloading computation task to the nearby MEC servers. However, offloading the computation tasks can increase network traffics and incur extra delays. Most existing approaches focus on the computation offloading with multi-user single-MEC scenarios to decrease energy consumption and latency of the MDs. Towards this goal, we investigate a computation offloading strategy for two-tier 5G heterogeneous networks integrated with multi-MEC. In addition, we propose a random offloading search algorithm, called ROSA, that rapidly achieve the minimized energy consumption of the system considering the computation offloading decision strategies. Simulation results show that our proposed algorithm based on offloading scheme outperforms other two schemes in terms of energy consumption.

AB - Recently, Multi-Access Edge Computing (MEC), which has been emerged as a key technology in 5G networks, enhances computation capabilities and power limitations of mobile devices (MDs) by offloading computation task to the nearby MEC servers. However, offloading the computation tasks can increase network traffics and incur extra delays. Most existing approaches focus on the computation offloading with multi-user single-MEC scenarios to decrease energy consumption and latency of the MDs. Towards this goal, we investigate a computation offloading strategy for two-tier 5G heterogeneous networks integrated with multi-MEC. In addition, we propose a random offloading search algorithm, called ROSA, that rapidly achieve the minimized energy consumption of the system considering the computation offloading decision strategies. Simulation results show that our proposed algorithm based on offloading scheme outperforms other two schemes in terms of energy consumption.

KW - 5G

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KW - Resource allocation

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M3 - Conference contribution

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SN - 9783030190620

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BT - Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019

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A2 - Lee, Sukhan

A2 - Choo, Hyunseung

PB - Springer Verlag

T2 - 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019

Y2 - 4 January 2019 through 6 January 2019

ER -

Huynh LNT, Pham QV, Nguyen QD, Pham XQ, Nguyen VD, Huh EN. Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks. In Ismail R, Lee S, Choo H, editors, Proceedings of the 13th International Conference on Ubiquitous Information Management and Communication, IMCOM 2019. Springer Verlag. 2019. p. 120-129. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-19063-7_11

Energy-efficient computation offloading with multi-MEC servers in 5G two-tier heterogeneous networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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