Joint optimization of energy consumption and time delay in energy-constrained fog computing networks

Minjie Xu; Wei Wang; Miao Zhang; Kanapathippillai Cumanan; Guoan Zhang; Zhiguo DIng

doi:10.1109/GLOBECOM38437.2019.9013785

Joint optimization of energy consumption and time delay in energy-constrained fog computing networks

Minjie Xu
, Wei Wang
, Miao Zhang
, Kanapathippillai Cumanan
, Guoan Zhang
, Zhiguo DIng

Electrical Engineering

Nantong University
Peng Cheng Laboratory
University of York

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

1 Scopus citations

Abstract

In this paper, we study a joint energy harvesting (EH) and task offloading (TO) design for an energy- constrained fog computing network, which consists of a mobile terminal and two fog nodes. The energy- constrained terminal employs time switching (TS) protocol to harvest energy from the signals sent by the circuit-powered fog node, and then exploits the harvested energy to perform local computing and offload computing. Our aim is to minimize the product of energy consumption and time delay with the constraints of TS ratio and EH requirements. To determine the optimal solution of the original non-convex problem, we decouple it into three subproblems based on the time delay assumption and then solve these subproblems through our proposed constraints activation algorithm. Furthermore, we also derive the closed form expressions for the optimal TO and TS ratios. Simulation results are presented to illustrate the effectiveness and superior performance of the proposed joint design against other conventional schemes in the literature.

Original language	British English
Title of host publication	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728109626
DOIs	https://doi.org/10.1109/GLOBECOM38437.2019.9013785
State	Published - Dec 2019
Event	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States Duration: 9 Dec 2019 → 13 Dec 2019

Publication series

Name	2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

Conference

Conference	2019 IEEE Global Communications Conference, GLOBECOM 2019
Country/Territory	United States
City	Waikoloa
Period	9/12/19 → 13/12/19

UN SDGs

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

SDG 6 Clean Water and Sanitation

Keywords

Energy consumption
Energy harvesting
Fog computing
Task offloading
Time delay

Access to Document

10.1109/GLOBECOM38437.2019.9013785

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Xu, M., Wang, W., Zhang, M., Cumanan, K., Zhang, G., & DIng, Z. (2019). Joint optimization of energy consumption and time delay in energy-constrained fog computing networks. In 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings Article 9013785 (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GLOBECOM38437.2019.9013785

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abstract = "In this paper, we study a joint energy harvesting (EH) and task offloading (TO) design for an energy- constrained fog computing network, which consists of a mobile terminal and two fog nodes. The energy- constrained terminal employs time switching (TS) protocol to harvest energy from the signals sent by the circuit-powered fog node, and then exploits the harvested energy to perform local computing and offload computing. Our aim is to minimize the product of energy consumption and time delay with the constraints of TS ratio and EH requirements. To determine the optimal solution of the original non-convex problem, we decouple it into three subproblems based on the time delay assumption and then solve these subproblems through our proposed constraints activation algorithm. Furthermore, we also derive the closed form expressions for the optimal TO and TS ratios. Simulation results are presented to illustrate the effectiveness and superior performance of the proposed joint design against other conventional schemes in the literature.",

keywords = "Energy consumption, Energy harvesting, Fog computing, Task offloading, Time delay",

author = "Minjie Xu and Wei Wang and Miao Zhang and Kanapathippillai Cumanan and Guoan Zhang and Zhiguo DIng",

note = "Funding Information: This work is supported in part by the Stereoscopic Coverage Communication Network Verification Platform for China Sea under grant PCL2018KP002, the Six Categories Talent Peak of Jiangsu Province under grant KTHY-039, the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions under grant PPZY2015B135, the Science and Technology Program of Nantong under grant GY22017013, the Open Research Fund of Nantong University-Nantong Joint Research Center for Intelligent Information Technology under grant KFKT2017B02, the Postgraduate Research and Practice Innovation Program of Jiangsu Province under grant SJKY19 2375 and ATOM project H2020-MSCA-RISE-2015 under grant 690750. Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE Global Communications Conference, GLOBECOM 2019 ; Conference date: 09-12-2019 Through 13-12-2019",

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Xu, M, Wang, W, Zhang, M, Cumanan, K, Zhang, G & DIng, Z 2019, Joint optimization of energy consumption and time delay in energy-constrained fog computing networks. in 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings., 9013785, 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE Global Communications Conference, GLOBECOM 2019, Waikoloa, United States, 9/12/19. https://doi.org/10.1109/GLOBECOM38437.2019.9013785

Joint optimization of energy consumption and time delay in energy-constrained fog computing networks. / Xu, Minjie; Wang, Wei; Zhang, Miao et al.
2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. 9013785 (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings).

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

TY - GEN

T1 - Joint optimization of energy consumption and time delay in energy-constrained fog computing networks

AU - Xu, Minjie

AU - Wang, Wei

AU - Zhang, Miao

AU - Cumanan, Kanapathippillai

AU - Zhang, Guoan

AU - DIng, Zhiguo

N1 - Funding Information: This work is supported in part by the Stereoscopic Coverage Communication Network Verification Platform for China Sea under grant PCL2018KP002, the Six Categories Talent Peak of Jiangsu Province under grant KTHY-039, the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions under grant PPZY2015B135, the Science and Technology Program of Nantong under grant GY22017013, the Open Research Fund of Nantong University-Nantong Joint Research Center for Intelligent Information Technology under grant KFKT2017B02, the Postgraduate Research and Practice Innovation Program of Jiangsu Province under grant SJKY19 2375 and ATOM project H2020-MSCA-RISE-2015 under grant 690750. Publisher Copyright: © 2019 IEEE.

PY - 2019/12

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N2 - In this paper, we study a joint energy harvesting (EH) and task offloading (TO) design for an energy- constrained fog computing network, which consists of a mobile terminal and two fog nodes. The energy- constrained terminal employs time switching (TS) protocol to harvest energy from the signals sent by the circuit-powered fog node, and then exploits the harvested energy to perform local computing and offload computing. Our aim is to minimize the product of energy consumption and time delay with the constraints of TS ratio and EH requirements. To determine the optimal solution of the original non-convex problem, we decouple it into three subproblems based on the time delay assumption and then solve these subproblems through our proposed constraints activation algorithm. Furthermore, we also derive the closed form expressions for the optimal TO and TS ratios. Simulation results are presented to illustrate the effectiveness and superior performance of the proposed joint design against other conventional schemes in the literature.

AB - In this paper, we study a joint energy harvesting (EH) and task offloading (TO) design for an energy- constrained fog computing network, which consists of a mobile terminal and two fog nodes. The energy- constrained terminal employs time switching (TS) protocol to harvest energy from the signals sent by the circuit-powered fog node, and then exploits the harvested energy to perform local computing and offload computing. Our aim is to minimize the product of energy consumption and time delay with the constraints of TS ratio and EH requirements. To determine the optimal solution of the original non-convex problem, we decouple it into three subproblems based on the time delay assumption and then solve these subproblems through our proposed constraints activation algorithm. Furthermore, we also derive the closed form expressions for the optimal TO and TS ratios. Simulation results are presented to illustrate the effectiveness and superior performance of the proposed joint design against other conventional schemes in the literature.

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KW - Fog computing

KW - Task offloading

KW - Time delay

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M3 - Conference contribution

AN - SCOPUS:85081961528

T3 - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

BT - 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE Global Communications Conference, GLOBECOM 2019

Y2 - 9 December 2019 through 13 December 2019

ER -

Xu M, Wang W, Zhang M, Cumanan K, Zhang G, DIng Z. Joint optimization of energy consumption and time delay in energy-constrained fog computing networks. In 2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2019. 9013785. (2019 IEEE Global Communications Conference, GLOBECOM 2019 - Proceedings). doi: 10.1109/GLOBECOM38437.2019.9013785

Joint optimization of energy consumption and time delay in energy-constrained fog computing networks

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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