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

Ali Hassan Sodhro, Sandeep Pirbhulal, Arun Kumar Sangaiah, Sonia Lohano, Gul Hassan Sodhro and Zongwei Luo
Additional contact information
Ali Hassan Sodhro: Electrical Engineering Department, Sukkur IBA University, Sukkur 65200, Pakistan
Sandeep Pirbhulal: CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institutes of Advanced Technology (SIAT), Shenzhen 518055, China
Arun Kumar Sangaiah: School of Computing Science and Engineering, VIT University, Vellore 632014, India
Sonia Lohano: Department of English, University of Sindh, Jamshoro 71000, Pakistan
Gul Hassan Sodhro: Department of Physics, Shah Abdul Latif University, Khairpur Mirs 66111, Pakistan
Zongwei Luo: Department of the Computer Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China

Sustainability, 2018, vol. 10, issue 4, 1-17

Abstract: 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.

Keywords: Fog computing; Internet of Things; QoS optimization; transmission power control; constant TPC; ATPC; SKim (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2018
References: View complete reference list from CitEc
Citations: View citations in EconPapers (4)

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