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

Author

Listed:
  • Ali Hassan Sodhro

    (Electrical Engineering Department, Sukkur IBA University, Sukkur 65200, Pakistan
    Decision and Information System for Production System LAB, University Lumiere Lyon2, 69500 Bron, France
    These authors contributed equally to this work.)

  • Sandeep Pirbhulal

    (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
    These authors contributed equally to this work.)

  • 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)

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.

Suggested Citation

  • Ali Hassan Sodhro & Sandeep Pirbhulal & Arun Kumar Sangaiah & Sonia Lohano & Gul Hassan Sodhro & Zongwei Luo, 2018. "5G-Based Transmission Power Control Mechanism in Fog Computing for Internet of Things Devices," Sustainability, MDPI, vol. 10(4), pages 1-17, April.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:4:p:1258-:d:142097
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    Citations

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    Cited by:

    1. Huawei Wang & Ye Li & Yingnan Jiao & Zhengping Jin, 2019. "An efficient outsourced attribute-based encryption scheme in the device-to-device mobile network," International Journal of Distributed Sensor Networks, , vol. 15(7), pages 15501477198, July.
    2. Yousaf Bin Zikria & Sung Won Kim & Muhammad Khalil Afzal & Haoxiang Wang & Mubashir Husain Rehmani, 2018. "5G Mobile Services and Scenarios: Challenges and Solutions," Sustainability, MDPI, vol. 10(10), pages 1-9, October.
    3. Heekwon Yang & Byeol Kim & Joosung Lee & Yonghan Ahn & Chankil Lee, 2018. "Advanced Wireless Sensor Networks for Sustainable Buildings Using Building Ducts," Sustainability, MDPI, vol. 10(8), pages 1-13, July.
    4. Oussama Tounekti & Antonio Ruiz-Martínez & Antonio F. Skarmeta-Gómez, 2021. "Users’ Evaluation of a New Web Browser Payment Interface for Facilitating the Use of Multiple Payment Systems," Sustainability, MDPI, vol. 13(9), pages 1-24, April.

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