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

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 band...

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Bibliographic Details
Published in:IEEE transactions on industrial informatics Vol. 14; no. 6; pp. 2618 - 2628
Main Authors: Li, Song, Ni, Qiang, Sun, Yanjing, Min, Geyong, Al-Rubaye, Saba
Format: Journal Article
Language:English
Published: IEEE 01.06.2018
Subjects:
5G mobile communication
Actuators
Channel allocation
Cyber-physical Internet of things (IoT) system (CPIoTS)
Energy efficiency
fifth generation (5G)
full-duplex
resource allocation
Resource management
Sensors
Silicon
ISSN:1551-3203, 1941-0050
Online Access:Get full text
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Summary: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 establish communication links with the central controller in full-duplex mode. To accommodate the signal data in the available channel band, the resource allocation problem is formulated as a mixed integer nonconvex 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 three-dimensional matching problem, and solved by iterative Hungarian method with virtual devices (IHM-VD). A comparison is performed with well-known existing algorithms to demonstrate the performance of the proposed one. The simulation results validate the efficiency of our proposed model, which significantly outperforms other benchmark algorithms in terms of meeting the energy efficiency and the QoS requirements.
ISSN:1551-3203
1941-0050
DOI:10.1109/TII.2018.2799177