Siri Guleng
ABSTRACT
Multi-hop broadcast communications are required for vehicular Internet-of-Things applications including intelligent transport systems, autonomous driving, and collision avoidance systems. However, conducing efficient broadcasting in vehicular ad hoc networks (VANETs) is particularly challenging due to the vehicle mobility and various vehicle densities. In this paper, we propose a traffic big data assisted broadcast scheme in VANETs. The proposed scheme uses vehicle traffic big data to estimate vehicle density, and then uses the prediction information to enhance the procedure of multi-hop broadcasting. By enhancing a receiver-oriented broadcast approach with vehicle density prediction, the proposed scheme can provide a high dissemination ratio with low broadcast redundancy. We use real traffic big data to conduct prediction and then generate realistic vehicular network simulations to show the performance of the proposed scheme.
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Index Terms
- Traffic big data assisted broadcast in vehicular networks
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