Decentralized Trust Evaluation in Vehicular Internet of Things

Siri Guleng, Celimuge Wu, Xianfu Chen, Xiaoyan Wang, Tsutomu Yoshinaga, Yusheng Ji

    Research output: Contribution to journalArticleScientificpeer-review

    10 Citations (Scopus)

    Abstract

    Trust management in a decentralized vehicular network, such as vehicular ad hoc network, is particularly challenging due to the lack of centralized communication infrastructure and a fast varying feature of the vehicular environment. In this paper, we propose a decentralized trust management scheme for vehicular networks. The proposed scheme uses a fuzzy logic-based trust calculation approach to evaluate the direct trust where trustee nodes are located within the transmission range of a trustor node. A reinforcement learning-based approach is also employed to estimate the indirect trust where the behaviors of trustee cannot be observed directly. The extensive simulations are conducted to show the advantage of the proposed scheme over other baseline approaches.

    Original languageEnglish
    Article number8616885
    Pages (from-to)15980-15988
    Number of pages9
    JournalIEEE Access
    Volume7
    DOIs
    Publication statusPublished - 17 Jan 2019
    MoE publication typeNot Eligible

    Keywords

    • fuzzy logic
    • Q-learning
    • trust management
    • vehicular ad hoc networks

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  • Cite this

    Guleng, S., Wu, C., Chen, X., Wang, X., Yoshinaga, T., & Ji, Y. (2019). Decentralized Trust Evaluation in Vehicular Internet of Things. IEEE Access, 7, 15980-15988. [8616885]. https://doi.org/10.1109/ACCESS.2019.2893262