Author
Listed:
- Na Fan
- Zongtao Duan
- Guangyuan Zhu
Abstract
Vehicular delay-tolerant networks are widely used in intelligent transport application. Vehicle nodes exchange and share various information in vehicular delay-tolerant networks. However, current delay-tolerant network routing algorithms do not take into account the dynamic characteristic of traffic flow, and they do not effectively resist cyber attacks, such as black hole attack. To address this issue, we propose a data dissemination mechanism for vehicular delay-tolerant networks. In this mechanism, we develop a combined model to estimate the real-time traffic density. Simultaneously, we propose the metrics which include node interaction dispersion, node interaction freshness, node interaction participation, and node interaction contribution to evaluate behavior of nodes. Based on these metrics, a routing method is constructed. In this routing method, a relay node is selected by evaluating communication interaction behaviors among vehicle nodes. Considering the factors of traffic flow density and communication behaviors of vehicle nodes, a message forwarding strategy scheme is built for different traffic density scenarios. Extensive simulations show that the proposed mechanism exhibits superior performance over existing methods in forwarding traffic information and alleviates negative effects from black hole attacks.
Suggested Citation
Na Fan & Zongtao Duan & Guangyuan Zhu, 2019.
"A data dissemination mechanism based on evaluating behavior for vehicular delay-tolerant networks,"
International Journal of Distributed Sensor Networks, , vol. 15(7), pages 15501477198, July.
Handle:
RePEc:sae:intdis:v:15:y:2019:i:7:p:1550147719865509
DOI: 10.1177/1550147719865509
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