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IoT-Based Service Allocation in Edge Computing Using Game Theory

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Distributed Computing and Intelligent Technology (ICDCIT 2025)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 15507))

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Abstract

The rapid growth of the Internet of Things (IoT) has created a pressing need for efficient service allocation methods to manage the multitude of connected devices. Edge computing has become essential to fulfill the low-latency and high-bandwidth demands of IoT applications. This paper investigates the use of game theory as a framework for optimizing service allocation in edge computing environments. By treating the interactions between IoT devices and edge servers as a strategic game, we propose strategies to achieve optimal allocation and resource utilization. Our approach tackles key challenges such as minimizing latency, improving energy efficiency, and balancing load. Experimental results indicate that game-theoretic methods greatly improve the performance and scalability of IoT systems in edge computing, positioning them a promising solution for future applications.

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Acknowledgment

The authors express their gratitude to all researchers in Game Theory and Edge Computing for their invaluable contributions. They also extend their thanks to the School of Computer Engineering, KIIT Deemed to be University & School of Computer Science, University College Dublin for the support that they have provided throughout this study.

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Authors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, India

    Kushagra Agrawal, Biswajit Sahoo, Sujata Swain & Anjan Bandyopadhyay

  2. School of Computer Science, University College Dublin, Dublin, Ireland

    Polat Goktas

Authors
  1. Kushagra Agrawal
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  2. Polat Goktas
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  3. Biswajit Sahoo
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  4. Sujata Swain
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  5. Anjan Bandyopadhyay
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Corresponding author

Correspondence to Anjan Bandyopadhyay .

Editor information

Editors and Affiliations

  1. Université de Strasbourg, Strasbourg, France

    Quentin Bramas

  2. IIIT Delhi, New Delhi, Delhi, India

    Bapi Chatterjee

  3. University of Picardie Jules Verne, Amiens, France

    Stéphane Devismes

  4. Inria, Villeurbanne, France

    Malcolm Egan

  5. Indian Institute of Technology Guwahati, Guwahati, Assam, India

    Partha Sarathi Mandal

  6. ISI Kolkata, Kolkata, West Bengal, India

    Krishnendu Mukhopadhyaya

  7. Indian Institute of Technology Guwahati, Guwahati, Assam, India

    V. Vijaya Saradhi

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Agrawal, K., Goktas, P., Sahoo, B., Swain, S., Bandyopadhyay, A. (2025). IoT-Based Service Allocation in Edge Computing Using Game Theory. In: Bramas, Q., et al. Distributed Computing and Intelligent Technology. ICDCIT 2025. Lecture Notes in Computer Science, vol 15507. Springer, Cham. https://doi.org/10.1007/978-3-031-81404-4_4

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  • DOI: https://doi.org/10.1007/978-3-031-81404-4_4

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