Information-centric networking for connected vehicles: a survey and future perspectives

By M. Amadeo, C. Campolo, A. Molinaro. 2016

231 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

In Electrical and Electronic Engineering

Citations in the corpus

A Survey of Autonomous Driving: Common Practices and Emerging Technologies (2019, background): “For vehicular applications, lots of data have to be distributed amongst agents with intermittent and in less than ideal connections while maintaining high mobility [46].”
Information-Centric Network-Based Vehicular Communications: Overview and Research Opportunities (2018, methodology): “Summary of ICN-based Vehicular Communications Research [9].”
Autonomous Cars: Research Results, Issues, and Future Challenges (2019, methodology): “Content-centric networks [189] have been used for connected car technology to enable cars to share contents [190]–[192].”
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions (2017, background): “Beside of the advantages that MEC provides for leveraging the instant communication between vehicles, there are some security concerns including malicious or fake data reported by vehicles, user’s privacy, trust issues, and certain attacks at application and infrastructure levels [126], [127].”
Wireless Edge Computing With Latency and Reliability Guarantees (2019, background): “Indeed, vehicular edge computing will play a pivotal role to support delay-sensitive as well as future emerging multimedia-rich applications in vehicular networks, which is buttressed by the growing body of literature devoted to the area of content-centric applications of vehicular MEC [83]–[86] whi”
Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach (2018, background): “F k u s [4, 6, 8, 10,12] GHz The realization of the computation capability f k u s .”
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, methodology): “Amadeo et al. [54] mentioned that ICN will be used for a vehicular communication application.”
Networking and Communications in Autonomous Driving: A Survey (2019, background): “edge, existing reviews and surveys on this topic, although paving the way for the development of vehicle communications, are either narrow [9]–[13] or outdated [14]–[16] or not”
Mobile Edge Intelligence and Computing for the Internet of Vehicles (2019, methodology): “These key features make cache-assisted contentcentric dissemination and delivery highly effective for IoV [42], [43].”
Named Data Networking in Vehicular Ad Hoc Networks: State-of-the-Art and Challenges (2020, methodology): “Similarly, Amadeo et al. [20] brieﬂy discussed the applicability of ICN in vehicular environment by studying different ICN aspects such as naming, routing, caching, and security from VANET perspective.”