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Enabling critical content dissemination in vehicular named data networks

Published: 09 October 2018 Publication History

Abstract

Named data networking has been efficiently utilized in Vehicular networks as a promising solution to enable reliable and efficient content retrieval. Vehicular named data networks (VNDN) employ a pull-based mechanism where an Interest packet is broadcast in order to receive the Content. This forwarding scheme mitigates the forwarding of unsolicited content, however, the dissemination of critical data forwarding generated randomly in the network is not considered. For instance, in the vanilla NDN framework any content received by a vehicle is considered unsolicited and dropped provided no corresponding entry is available in the pending interest table of that vehicle. Despite its potential, some modification in the NDN architecture are required to forward the high priority critical content. In this work, we enable the vehicles' NDN forwarding mechanism to reliably share the critical content from different vehicles sources in the networks. The solution is evaluated in NS2 and the findings show that the proposed scheme is able to collect the data from several vehicles in the networks with reduced network overhead and data retrieval delays.

References

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Cited By

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  • (2023)A Machine Learning-Based Interest Flooding Attack Detection System in Vehicular Named Data NetworkingElectronics10.3390/electronics1218387012:18(3870)Online publication date: 13-Sep-2023
  • (2022)A Content Dissemination Technique Based on Priority to Improve Quality of Service of Vehicular Ad Hoc NetworksJournal of Advanced Transportation10.1155/2022/69034502022(1-16)Online publication date: 12-Apr-2022
  • (2022)Forwarding Strategy in SDN-Based Content Centric NetworkProceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences10.1007/978-981-16-5747-4_5(49-62)Online publication date: 1-Jan-2022
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        cover image ACM Conferences
        RACS '18: Proceedings of the 2018 Conference on Research in Adaptive and Convergent Systems
        October 2018
        355 pages
        ISBN:9781450358859
        DOI:10.1145/3264746
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        • KISM: Korean Institute of Smart Media

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        Publication History

        Published: 09 October 2018

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        Author Tags

        1. NDN
        2. VANETs
        3. critical content
        4. interest forwarding

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        Cited By

        View all
        • (2023)A Machine Learning-Based Interest Flooding Attack Detection System in Vehicular Named Data NetworkingElectronics10.3390/electronics1218387012:18(3870)Online publication date: 13-Sep-2023
        • (2022)A Content Dissemination Technique Based on Priority to Improve Quality of Service of Vehicular Ad Hoc NetworksJournal of Advanced Transportation10.1155/2022/69034502022(1-16)Online publication date: 12-Apr-2022
        • (2022)Forwarding Strategy in SDN-Based Content Centric NetworkProceedings of the International Conference on Paradigms of Communication, Computing and Data Sciences10.1007/978-981-16-5747-4_5(49-62)Online publication date: 1-Jan-2022
        • (2021)A survey of data dissemination schemes in vehicular named data networkingVehicular Communications10.1016/j.vehcom.2021.100353(100353)Online publication date: Mar-2021
        • (2019)Varied Priority-Based Data Forwarding via NDN in VANET2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00137(574-581)Online publication date: Aug-2019

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