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Sustainability 2018, 10(4), 1258;

5G-Based Transmission Power Control Mechanism in Fog Computing for Internet of Things Devices

Electrical Engineering Department, Sukkur IBA University, Sukkur 65200, Pakistan
Decision and Information System for Production System LAB, University Lumiere Lyon2, 69500 Bron, France
CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen 518055, China
Institute of Biomedical and Health Engineering, SIAT, Chinese Academy of Sciences (CAS), Shenzhen 518055, China
School of Computing Science and Engineering, VIT University, Vellore 632014, India
Department of English, University of Sindh, Jamshoro 71000, Pakistan
Department of Physics, Shah Abdul Latif University, Khairpur Mirs 66111, Pakistan
Department of the Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Received: 22 February 2018 / Revised: 1 April 2018 / Accepted: 4 April 2018 / Published: 19 April 2018
(This article belongs to the Special Issue 5G Mobile Services and Scenarios: Challenges and Solutions)
PDF [12393 KB, uploaded 3 May 2018]


Fog computing has become the revolutionary paradigm and one of the intelligent services of the 5th Generation (5G) emerging network, while Internet of Things (IoT) lies under its main umbrella. Enhancing and optimizing the quality of service (QoS) in Fog computing networks is one of the critical challenges of the present. In the meantime, strong links between the Fog, IoT devices and the supporting back-end servers is done through large scale cloud data centers and with the linear exponential trend of IoT devices and voluminous generated data. Fog computing is one of the vital and potential solutions for IoT in close connection with things and end users with less latency but due to high computational complexity, less storage capacity and more power drain in the cloud it is inappropriate choice. So, to remedy this issue, we propose transmission power control (TPC) based QoS optimization algorithm named (QoS-TPC) in the Fog computing. Besides, we propose the Fog-IoT-TPC-QoS architecture and establish the connection between TPC and Fog computing by considering static and dynamic conditions of wireless channel. Experimental results examine that proposed QoS-TPC optimizes the QoS in terms of maximum throughput, less delay, less jitter and minimum energy drain as compared to the conventional that is, ATPC, SKims and constant TPC methods. View Full-Text
Keywords: Fog computing; Internet of Things; QoS optimization; transmission power control; constant TPC; ATPC; SKim Fog computing; Internet of Things; QoS optimization; transmission power control; constant TPC; ATPC; SKim

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Sodhro, A.H.; Pirbhulal, S.; Sangaiah, A.K.; Lohano, S.; Sodhro, G.H.; Luo, Z. 5G-Based Transmission Power Control Mechanism in Fog Computing for Internet of Things Devices. Sustainability 2018, 10, 1258.

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