Information Forwarding Strategy of Internet of Vehicles in Named Data Network

doi:10.3969/j.issn.1006-2475.2024.11.004

Abstract

Abstract: Aiming at the problem of dynamic change of network topology due to high mobility of nodes and the potential broadcast storm problem of traditional networks in Internet of Vehicles， a network topology prediction-based information forwarding strategy for Internet of Vehicles is proposed. Firstly， according to the performance of nodes， vehicle operation state attributes， movement trajectory， link attributes， etc. in the Internet of Vehicles， a dynamic network topology evolution algorithm is used for topology prediction to construct the current network topology； and then a multi-source information forwarding table is constructed using the shortest path algorithm， and information forwarding is performed according to the information forwarding table. In the case of forwarding table failure， the best neighboring nodes are selected to forward data based on node and link attributes， and at the same time， the topology prediction-based content forwarding is further improved. Simulation results show that compared with other forwarding strategies， the proposed forwarding strategy can effectively reduce the content acquisition delay and improve the request hit rate.

Key words: , Internet of vehicles； named data network； name-based routing； dynamic topology prediction； information forwarding

CLC Number:

TP393

ZHANG Tai1, YAN Zihao2, DUAN Jie2, ZHANG Zhihong2. Information Forwarding Strategy of Internet of Vehicles in Named Data Network [J]. Computer and Modernization, 2024, 0(11): 19-27.

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