IEEE Access · 2015 · 416 citations · 29 references
ComputingAutomotive EngineeringCloud ComputingCloud ArchitectureCyber-physical SystemsInternet Of ThingsCyber-physical Systems ArchitectureHuman-cyber-physical InteractionIot ArchitectureNetwork ArchitectureVehicle Communication NetworksVehicle-to-everything CommunicationAd Hoc NetworksCyber-physical Architecture DesignInternet Of VehiclesIot Reference ModelsOntologiesTraveler Information SystemsVehicle-to-vehicle CommunicationVehicular Ad Hoc Networks
IoT equips physical objects with computing and communication, and IoV has advanced to enable vehicles to exchange safety, efficiency, infotainment, and comfort information via VANETs, forming the basis for a vehicular Social IoT (SIoV). The authors propose a cloud‑based cyber‑physical architecture for Social IoV. The architecture maps VANET components into the IoT‑A reference model and defines a communication message structure using automotive ontologies, SAE J2735, and ATIS events to represent the social graph. They identified SIoV social structures and interactions, mapped VANETs to IoT‑A, and experimentally demonstrated the system’s efficacy across multiple application scenarios.
The main vision of the Internet of Things (IoT) is to equip real-life physical objects with computing and communication power so that they can interact with each other for the social good. As one of the key members of IoT, Internet of Vehicles (IoV) has seen steep advancement in communication technologies. Now, vehicles can easily exchange safety, efficiency, infotainment, and comfort-related information with other vehicles and infrastructures using vehicular ad hoc networks (VANETs). We leverage on the cloud-based VANETs theme to propose cyber-physical architecture for the Social IoV (SIoV). SIoV is a vehicular instance of the Social IoT (SIoT), where vehicles are the key social entities in the machine-to-machine vehicular social networks. We have identified the social structures of SIoV components, their relationships, and the interaction types. We have mapped VANETs components into IoT-A architecture reference model to offer better integration of SIoV with other IoT domains. We also present a communication message structure based on automotive ontologies, the SAE J2735 message set, and the advanced traveler information system events schema that corresponds to the social graph. Finally, we provide the implementation details and the experimental analysis to demonstrate the efficacy of the proposed system as well as include different application scenarios for various user groups.
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