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Intelligent Fog-IoT Networks with 6G Endorsement: Foundations, Applications, Trends and Challenges

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6G Enabled Fog Computing in IoT

Abstract

The prolonged 5G network deployment includes the Internet of Things (IoT) as a technological advancement toward the expansion of wireless communication. The Internet of Everything (IoE), a superset of IoT, acts as the proliferation that accelerated the outburst of data and sparked new disciplines. Nonetheless, the foundational and crucial elements of an IoE depend heavily upon the computing intelligence that could be implemented in the 6G wireless communication system. This study aims to demonstrate the 6G-enabled fog architecture as a rigorous integrated IoT solution designed to accommodate seamless network operations and management. Fog computing (FC) is a game-changing technology that has the potential to deliver data storage and computation capabilities to forthcoming 6G networks. In the 6G generation, fog computing will be essential to support gigantic IoT applications. In recent years, the amount of IoT-linked nodes and gadgets in our everyday lives has increased rapidly. Fog computing has evolved into a well-established framework for addressing a wide range of critical Quality of Service (QoS) criteria, including latency, response time, bandwidth constraints, flexibility, security, and privacy. In this manuscript, the research explored 6G networks with IoT and fog computing technology in depth. This article outlines fog-enabled intelligent IoT applications while emphasizing the IoT networking context. The main objective of this study is to embrace varying technologies to elucidate notions, including modern IoT applications that exploit fog in Beyond fifth-generation (B5G) and 6G networks. Thus, it addresses specific issues and challenges that IoT may stumble into and implies potential fog solutions.

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Author information

Authors and Affiliations

  1. Babu Banarasi Das University, Lucknow, India

    Syed Anas Ansar

  2. Graphic Eran Deemed to be University, Dehradun, India

    Jitendra Kumar Samriya

  3. NIT Jalandhar, Jalandhar, Punjab, India

    Mohit Kumar

  4. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Sukhpal Singh Gill

  5. Babasaheb Bhimrao Ambedkar University, Lucknow, India

    Raees Ahmad Khan

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  1. Syed Anas Ansar
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  2. Jitendra Kumar Samriya
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  3. Mohit Kumar
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  4. Sukhpal Singh Gill
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  5. Raees Ahmad Khan
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Editors and Affiliations

  1. Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Mohit Kumar

  2. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Sukhpal Singh Gill

  3. Department of Information Technology, Dr. B.R. Ambedkar National Institute of Technology, Jalandhar, Punjab, India

    Jitendra Kumar Samriya

  4. School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK

    Steve Uhlig

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Ansar, S.A., Samriya, J.K., Kumar, M., Gill, S.S., Khan, R.A. (2023). Intelligent Fog-IoT Networks with 6G Endorsement: Foundations, Applications, Trends and Challenges. In: Kumar, M., Gill, S.S., Samriya, J.K., Uhlig, S. (eds) 6G Enabled Fog Computing in IoT. Springer, Cham. https://doi.org/10.1007/978-3-031-30101-8_12

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  • DOI: https://doi.org/10.1007/978-3-031-30101-8_12

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