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Towards an energy-aware two-way trust routing scheme in fog computing environments

Author

Listed:
  • Yan Zhang

    (Henan Polytechnic)

  • Yun Yu

    (Anhui Xinhua University)

  • Wujie Sun

    (North Automatic Control Technology Institute)

  • Zaihui Cao

    (Zhengzhou University of Aeronautics)

Abstract

The increasing number of Internet of Things (IoT) sensors and the need for real-time data processing have led to the emergence of Fog Computing as a promising paradigm to complement cloud services. However, optimizing energy consumption while ensuring reliable data routing remains a critical challenge. This paper proposes an Energy-aware Two-Way Trust Routing (ETWTR) scheme tailored for fog computing environments. This scheme can perform routing to improve data transmission dynamically, taking into account reliability and energy availability. ETWTR can simultaneously consider security, reliability, quality of service, and energy consumption, overcoming the limitations of fog computing. The ETWTR-based trust management system allows both requesters and service providers to check each other's reliability simultaneously to improve security. To address the challenge of energy optimization, a Deep Q-Network (DQN) is employed to predict available energy levels in nodes and optimize their usage efficiently. Our ETWTR scheme has been compared with baseline schemes to confirm its merit with various criteria. The simulation results show that ETWTR has reached higher reliability and trust with less energy consumption.

Suggested Citation

  • Yan Zhang & Yun Yu & Wujie Sun & Zaihui Cao, 2024. "Towards an energy-aware two-way trust routing scheme in fog computing environments," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 87(4), pages 973-989, December.
    • Handle: RePEc:spr:telsys:v:87:y:2024:i:4:d:10.1007_s11235-024-01226-2
    DOI: 10.1007/s11235-024-01226-2
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