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Related Experiment Video

Updated: Nov 28, 2025

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Matching IoT Devices to the Fog Service Providers: A Mechanism Design Perspective.

Anjan Bandyopadhyay1,2, Vikash Kumar Singh3, Sajal Mukhopadhyay1

  • 1Department of Computer Science & Engineering, National Institute of Technology Durgapur, Durgapur 713209, West Bengal, India.

Sensors (Basel, Switzerland)
|December 1, 2020
PubMed
Summary

This study introduces a game-theoretic approach for assigning Fog service providers (FSPs) to Internet of Things (IoT) devices. The proposed mechanism ensures efficient and robust allocation in complex IoT environments.

Keywords:
Fog computingIoT devicesPareto optimalmatchingmechanism designtruthfultruthful mechanism

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Game Theory

Background:

  • The Internet of Things (IoT) architecture, integrating Fog and Cloud computing, faces challenges in efficiently allocating Fog Service Providers (FSPs) to a growing number of IoT devices.
  • Existing allocation methods may not adequately address the complexities of game-theoretic environments where utility maximization is key.

Purpose of the Study:

  • To develop and analyze novel mechanisms for allocating FSPs to IoT devices within a game-theoretic framework.
  • To ensure fair and efficient resource allocation, considering IoT devices' preference orderings over FSPs.
  • To design flexible mechanisms accommodating both short-term and long-term FSP access needs.

Main Methods:

  • Application of mechanism design theory, specifically focusing on 'mechanism design without money'.
  • Development of allocation algorithms based on IoT device preference lists for FSPs.
  • Analytical proofs of economic robustness and probabilistic analyses of allocation outcomes.
  • Simulations in Python to evaluate mechanism efficiency across various scenarios.

Main Results:

  • Demonstrated economic robustness of the proposed allocation mechanisms.
  • Probabilistic analyses confirmed the effectiveness of the allocation strategies.
  • Simulation results showcased high mechanism efficiency under diverse operational conditions.

Conclusions:

  • The proposed game-theoretic mechanisms provide a robust and efficient solution for FSP allocation in IoT environments.
  • The approach effectively handles device preferences and varying access durations, paving the way for optimized IoT service delivery.