2021/11/30 by Farimasadat Miri, Miri, Farimasadat, Richard W. Pazzi +1
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Networking and Internet Architecture (cs.NI) #Opportunistic and Delay-Tolerant Networks #Transportation and Mobility Innovations #Vehicular Ad Hoc Networks (VANETs)
paper · pdf · doi:10.48550/arxiv.2112.00143
openalex publication_date 2021/11/30 · openalex created_date 2023/02/18 · openalex updated_date 2026/07/28
In recent years, the number of IoT devices has been growing fast which leads\nto a challenging task for managing, storing, analyzing, and making decisions\nabout raw data from different IoT devices, especially for delay-sensitive\napplications. In a vehicular network (VANET) environment, the dynamic nature of\nvehicles makes the current open research issues even more challenging due to\nthe frequent topology changes that can lead to disconnections between vehicles.\nTo this end, a number of research works have been proposed in the context of\ncloud and fog computing over the 5G infrastructure. On the other hand, there\nare a variety of research proposals that aim to extend the connection time\nbetween vehicles. Vehicular Social Networks (VSNs) have been defined to\ndecrease the burden of connection time between the vehicles. This survey paper\nfirst provides the necessary background information and definitions about fog,\ncloud and related paradigms such as 5G and SDN. Then, it introduces the reader\nto Vehicular Social Networks, the different metrics and the main differences\nbetween VSNs and Online Social Networks. Finally, this survey investigates the\nrelated works in the context of VANETs that have demonstrated different\narchitectures to address the different issues in fog computing. Moreover, it\nprovides a categorization of the different approaches and discusses the\nrequired metrics in the context of fog and cloud and compares them to Vehicular\nsocial networks. A comparison of the relevant related works is discussed along\nwith new research challenges and trends in the domain of VSNs and fog\ncomputing.\n