Internet of Vehicles (IoV) is a large interactive network composed of information such as vehicle location, speed and route. Vehicles can collect their own environment and state information through GPS, RFID, sensors, camera image processing, and other devices. They can transmit their various information to the central processing unit through Internet technology. These large amounts of vehicle information can be analyzed and processed through computer technology to calculate the optimal route for different vehicles, and report road conditions in time and schedule signal light cycles. Internet of Vehicles (IoV) is a large-scale system network for wireless communication and information exchange between vehicles and people, vehicles and roads, vehicles and the Internet, which is based on intra-vehicle network, inter-vehicle network and vehicle mobile Internet, in accordance with the agreed communication protocols and data interaction standards. The system realizes the integrated network of intelligent traffic management, intelligent dynamic information service, and intelligent vehicle control by “filtering and cleaning” massive data and processing data on the platform. Internet of Vehicles (IoV) system utilizes advanced IoT technology, cloud computing, and big data to make the system fully aware of roads and traffic. It enables all vehicles to collect information through their own environment and state, and upload all kinds of information to the Internet big data platform. The central processing unit collects, analyzes, and processes a large amount of uploaded information. The system will control every vehicle involved in the traffic and control every road in real time to provide users with traffic efficiency and safety.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Guest Editorial Software Defined Internet of Vehicles


    Beteiligte:
    Lv, Zhihan (Autor:in) / Lloret, Jaime (Autor:in) / Song, Houbing (Autor:in)


    Erscheinungsdatum :

    2021-06-01


    Format / Umfang :

    573685 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fault-Tolerance Mechanisms for Software-Defined Internet of Vehicles

    Cheng, Chien-Fu / Srivastava, Gautam / Lin, Jerry Chun-Wei et al. | IEEE | 2021


    Green Computing in Software Defined Social Internet of Vehicles

    Kumar, Neetesh / Chaudhry, Rashmi / Kaiwartya, Omprakash et al. | IEEE | 2021



    Position prediction for routing in software defined internet of vehicles

    Jibran, Muhammad Ali / Abbas, Muhammad Tahir / Rafiq, Adeel et al. | BASE | 2020

    Freier Zugriff