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    ARTICLE

    Incentive-Driven Approach for Misbehavior Avoidance in Vehicular Networks

    Shahid Sultan1, Qaisar Javaid1, Eid Rehman2,*, Ahmad Aziz Alahmadi3, Nasim Ullah3, Wakeel Khan4

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6089-6106, 2022, DOI:10.32604/cmc.2022.021374 - 11 October 2021

    Abstract For efficient and robust information exchange in the vehicular ad-hoc network, a secure and trusted incentive reward is needed to avoid and reduce the intensity of misbehaving nodes and congestion especially in the case where the periodic beacons exploit the channel. In addition, we cannot be sure that all vehicular nodes eagerly share their communication assets to the system for message dissemination without any rewards. Unfortunately, there may be some misbehaving nodes and due to their selfish and greedy approach, these nodes may not help others on the network. To deal with this challenge, trust-based… More >

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