Toward Social Internet of Vehicles: Concept, Architecture, and Applications

By Kazi Masudul Alam, Mukesh Kumar Saini, Abdulmotaleb El Saddik. IEEE Access, 2015

361 citations recorded by the source corpus.

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.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/d8c577b46b5f2f3b9c137284b9b0d7fb57614db2

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Citations in the corpus

C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems (2017, methodology): “The research community is showing tremendous interests about the CPS field these days [8]–[18].”
IoT-Enabled Social Relationships Meet Artificial Social Intelligence (2021, background): “to some specific domains, as it is the case of the Social Internet of Vehicle (SIoV) [23].”
Federated Learning in Smart City Sensing: Challenges and Opportunities (2020, neutral): “Autonomous vehicles should interact with the IoV, vehicle-road collaboration, and even the entire transportation system to create a better driving environment [169].”
Physical-Layer Security of 5G Wireless Networks for IoT: Challenges and Opportunities (2019, background): “dynamic and may randomly join or leave the network at any time [5].”
Survey on the Internet of Vehicles: Network Architectures and Applications (2020, background): “Kazi Masudul et al. divided the elements IoV into six categories [7]: tNote message, OBU IEEE Communications Standards Magazine • March 2020 RSU, home base unit (HBU), tNote cloud, and user interface.”
Internet of Things for Smart Healthcare: Technologies, Challenges, and Opportunities (2017, neutral): “crash-avoiding cars [19], and smart grids [20].”
Survey on blockchain for Internet of Things (2019, background): “As one of the key members of IoT—vehicular network [3], there also are some security issues in the vehicle-to-grid(V2G) networks.”