Publication | Closed Access
Information-centric networking for connected vehicles: a survey and future perspectives
266
Citations
15
References
2016
Year
Vehicle CommunicationInternet Of VehicleEngineeringEdge ComputingConnected CarBusinessSystems EngineeringVehicle NetworkVehicular NetworksInternet Of ThingsConnected VehiclesMobile ComputingInformation-centric NetworkingMobile Communication VehicleTransportation EngineeringMulticast SupportConnected Vehicle EcosystemContent Retrieval
In connected vehicle ecosystems, high‑volume, safety‑critical data are exchanged, but poor wireless links, vehicle mobility, and the IP address‑centric Internet model hinder reliable delivery in highly dynamic, localized environments. The article advocates moving from IP‑based networking to information‑centric networking and examines its applicability in vehicular environments. The authors review core functionalities and related work to scrutinize the applicability of information‑centric networking in vehicular environments. The analysis demonstrates that named content retrieval, innate multicast support, and in‑network caching enable information‑centric networking to meet vehicular networks’ demanding requirements.
In the connected vehicle ecosystem, a high volume of information-rich and safety-critical data will be exchanged by roadside units and onboard transceivers to improve the driving and traveling experience. However, poor-quality wireless links and the mobility of vehicles highly challenge data delivery. The IP address-centric model of the current Internet barely works in such extremely dynamic environments and poorly matches the localized nature of the majority of vehicular communications, which typically target specific road areas (e.g., in the proximity of a hazard or a point of interest) regardless of the identity/address of a single vehicle passing by. Therefore, a paradigm shift is advocated from traditional IP-based networking toward the groundbreaking information- centric networking. In this article, we scrutinize the applicability of this paradigm in vehicular environments by reviewing its core functionalities and the related work. The analysis shows that, thanks to features like named content retrieval, innate multicast support, and in-network data caching, information-centric networking is positioned to meet the challenging demands of vehicular networks and their evolution. Interoperability with the standard architectures for vehicular applications along with synergies with emerging computing and networking paradigms are debated as future research perspectives.
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