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Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era

Research output: Contribution to journalJournal article

Published

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Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era. / Li, Song; Ni, Qiang; Sun, Yanjing; Min, Geyong; Al-rubaye, Saba.

In: IEEE Transactions on Industrial Informatics, Vol. 14, No. 6, 06.2018, p. 2618-2628.

Research output: Contribution to journalJournal article

Harvard

Li, S, Ni, Q, Sun, Y, Min, G & Al-rubaye, S 2018, 'Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era', IEEE Transactions on Industrial Informatics, vol. 14, no. 6, pp. 2618-2628. https://doi.org/10.1109/TII.2018.2799177

APA

Li, S., Ni, Q., Sun, Y., Min, G., & Al-rubaye, S. (2018). Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era. IEEE Transactions on Industrial Informatics, 14(6), 2618-2628. https://doi.org/10.1109/TII.2018.2799177

Vancouver

Li S, Ni Q, Sun Y, Min G, Al-rubaye S. Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era. IEEE Transactions on Industrial Informatics. 2018 Jun;14(6):2618-2628. https://doi.org/10.1109/TII.2018.2799177

Author

Li, Song ; Ni, Qiang ; Sun, Yanjing ; Min, Geyong ; Al-rubaye, Saba. / Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era. In: IEEE Transactions on Industrial Informatics. 2018 ; Vol. 14, No. 6. pp. 2618-2628.

Bibtex

@article{11462ed1fa8242189b807362e875b892,
title = "Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era",
abstract = "Cyber-physical Internet of things system (CPIoTS), as an evolution of Internet of things (IoT), plays a significant role in industrial area to support the interoperability and interaction of various machines (e.g. sensors, actuators, and controllers) by providing seamless connectivity with low bandwidth requirement. The fifth generation (5G) is a key enabling technology to revolutionize the future of industrial CPIoTS. In this paper, a communication framework based on 5G is presented to support the deployment of CPIoTS with a central controller. Based on this framework, multiple sensors and actuators can exchange information with the central controller in full-duplex mode. To accommodate the signal data in the available channel band, a resource allocation problem is formulated as a mixed integer non-convex programming problem, aiming to maximize the sum energy efficiency of CPIoTS. By introducing the transformation, we decompose the resource allocation problem into power allocation and channel allocation. Moreover, we consider an energy-efficient power allocation algorithm based on game theory and Dinkelbach's algorithm. Finally, to reduce the computational complexity, the channel allocation is modeled as a 3-dimensional matching problem, and solved by iterative Hungarian method with virtual devices (IHM-VD). A comparison is completed with well-known existing algorithms to demonstrate the performance of the proposed one. Simulation results confirm the efficiency of the proposed model, which significantly outperforms other benchmark algorithms in terms of meeting the energy efficiency and the QoS requirements.",
author = "Song Li and Qiang Ni and Yanjing Sun and Geyong Min and Saba Al-rubaye",
note = "{\textcopyright}2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.",
year = "2018",
month = jun
doi = "10.1109/TII.2018.2799177",
language = "English",
volume = "14",
pages = "2618--2628",
journal = "IEEE Transactions on Industrial Informatics",
issn = "1551-3203",
publisher = "IEEE Computer Society",
number = "6",

}

RIS

TY - JOUR

T1 - Energy-Efficient Resource Allocation for Industrial Cyber-Physical IoT Systems in 5G Era

AU - Li, Song

AU - Ni, Qiang

AU - Sun, Yanjing

AU - Min, Geyong

AU - Al-rubaye, Saba

N1 - ©2018 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

PY - 2018/6

Y1 - 2018/6

N2 - Cyber-physical Internet of things system (CPIoTS), as an evolution of Internet of things (IoT), plays a significant role in industrial area to support the interoperability and interaction of various machines (e.g. sensors, actuators, and controllers) by providing seamless connectivity with low bandwidth requirement. The fifth generation (5G) is a key enabling technology to revolutionize the future of industrial CPIoTS. In this paper, a communication framework based on 5G is presented to support the deployment of CPIoTS with a central controller. Based on this framework, multiple sensors and actuators can exchange information with the central controller in full-duplex mode. To accommodate the signal data in the available channel band, a resource allocation problem is formulated as a mixed integer non-convex programming problem, aiming to maximize the sum energy efficiency of CPIoTS. By introducing the transformation, we decompose the resource allocation problem into power allocation and channel allocation. Moreover, we consider an energy-efficient power allocation algorithm based on game theory and Dinkelbach's algorithm. Finally, to reduce the computational complexity, the channel allocation is modeled as a 3-dimensional matching problem, and solved by iterative Hungarian method with virtual devices (IHM-VD). A comparison is completed with well-known existing algorithms to demonstrate the performance of the proposed one. Simulation results confirm the efficiency of the proposed model, which significantly outperforms other benchmark algorithms in terms of meeting the energy efficiency and the QoS requirements.

AB - Cyber-physical Internet of things system (CPIoTS), as an evolution of Internet of things (IoT), plays a significant role in industrial area to support the interoperability and interaction of various machines (e.g. sensors, actuators, and controllers) by providing seamless connectivity with low bandwidth requirement. The fifth generation (5G) is a key enabling technology to revolutionize the future of industrial CPIoTS. In this paper, a communication framework based on 5G is presented to support the deployment of CPIoTS with a central controller. Based on this framework, multiple sensors and actuators can exchange information with the central controller in full-duplex mode. To accommodate the signal data in the available channel band, a resource allocation problem is formulated as a mixed integer non-convex programming problem, aiming to maximize the sum energy efficiency of CPIoTS. By introducing the transformation, we decompose the resource allocation problem into power allocation and channel allocation. Moreover, we consider an energy-efficient power allocation algorithm based on game theory and Dinkelbach's algorithm. Finally, to reduce the computational complexity, the channel allocation is modeled as a 3-dimensional matching problem, and solved by iterative Hungarian method with virtual devices (IHM-VD). A comparison is completed with well-known existing algorithms to demonstrate the performance of the proposed one. Simulation results confirm the efficiency of the proposed model, which significantly outperforms other benchmark algorithms in terms of meeting the energy efficiency and the QoS requirements.

U2 - 10.1109/TII.2018.2799177

DO - 10.1109/TII.2018.2799177

M3 - Journal article

VL - 14

SP - 2618

EP - 2628

JO - IEEE Transactions on Industrial Informatics

JF - IEEE Transactions on Industrial Informatics

SN - 1551-3203

IS - 6

ER -