The invention relates to a traffic flow density-based solution to the problem of VANET sparse connectivity, belongs to the technical field of communication, and is used for network communication of urban vehicles. The solution is characterized in that a greedy forwarding strategy is selected according to the traffic flow density around a vehicle, thereby ensuring efficiency of a whole network. A neighbor list is maintained between vehicles through a Hello data packet, when the traffic flow density around the vehicle is relatively large, a node in the neighbor list with the smallest Euclidean distance to a destination node is selected as the next-hop node to perform data forwarding, when the traffic flow density around the vehicle is relatively small, the vehicle is located in a sparse connected region, and at this time a node in the neighbor list which moves fastest towards the target node is selected as the next-hop node to perform data transmission, thereby ensuring the efficiency of the whole network. A simulation experiment shows that by adoption of the method, under a circumstance that the traffic flow density is relatively small, compared with a conventional method, the GPSR protocol packet loss rate is lower, and the transmission rate is higher.


    Access

    Download


    Export, share and cite



    Title :

    Traffic flow density-based solution to problem of VANET sparse connectivity


    Contributors:
    FENG BIN (author) / YAO HAN (author) / KONG XIANGJIE (author)

    Publication date :

    2015-08-12


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS / H04L TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION , Übertragung digitaler Information, z.B. Telegrafieverkehr



    Connectivity Improvement in Cluster-Based VANET

    Agarwal, Esha / Kakkar, Deepti | IEEE | 2022



    Secured Traffic Monitoring in VANET

    Roy, Ayan / Madria, Sanjay | ArXiv | 2019

    Free access

    Modeling Vehicles Mobility for Connectivity Analysis in VANET

    Umer, Tariq / Amjad, Muhammad / Shah, Nadir et al. | Springer Verlag | 2016


    Segment Based Highway Traffic Flow Prediction in VANET Using Big Data Analysis

    Alnami, Hani M / Mahgoub, Imad / Al-Najada, Hamzah | IEEE | 2021