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

Yan Zhang (), Yun Yu (), Wujie Sun () and Zaihui Cao ()
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Yan Zhang: Henan Polytechnic
Yun Yu: Anhui Xinhua University
Wujie Sun: North Automatic Control Technology Institute
Zaihui Cao: Zhengzhou University of Aeronautics

Telecommunication Systems: Modelling, Analysis, Design and Management, 2024, vol. 87, issue 4, No 6, 973-989

Abstract: 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.

Keywords: Fog computing; Routing scheme; Energy-aware; Two-way trust; Deep Q-network (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s11235-024-01226-2

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