Abstract
Cognitive radio technology can improve the spectrum efficiency, and solve the problem of spectrum scarcity for vehicular communications. Nevertheless, the link reliability of cognitive radio vehicular ad hoc networks (CR-VANETs) is not only related to primary users but also to secondary users, which are acted as vehicles. To address this issue, we propose a social-based link reliability prediction model by jointly considering social characteristics of primary users and secondary users. First, we analyze the probability of the available channel in CR-VANETs based on social characteristics of primary users. Second, we analyze social characteristics of secondary users through the friendliness, the similarity and the centrality. Third, we utilize the social characteristics of primary users and secondary users to propose a link reliability prediction model and to predict the probability of the available link between two neighboring vehicles. Simulation results show that the predicted number of active primary users is consistent with the corresponding value in the real dataset, and the proposed social-based link reliability prediction model is effective.
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Acknowledgments
This work was supported by the National Natural Science Foundation of China (No. 61170135), the Provincial Natural Science Foundation of Hubei (No. 2020CFB823 and No. 2020CFB749), the Key Research and Development Program of Hubei Province (No. 2020BHB004 and No. 2020BAB012), the Humanity and Social Science Youth Research Foundation of Ministry of Education (No. 19YJC790111) and the Doctoral Scientific Research Project of Hubei University of Technology (No. BSQD2020062).
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Wang, J., Mei, A., Tang, X., Shi, B. (2021). Social-Based Link Reliability Prediction Model for CR-VANETs. In: Liu, Z., Wu, F., Das, S.K. (eds) Wireless Algorithms, Systems, and Applications. WASA 2021. Lecture Notes in Computer Science(), vol 12937. Springer, Cham. https://doi.org/10.1007/978-3-030-85928-2_30
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DOI: https://doi.org/10.1007/978-3-030-85928-2_30
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