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Addressing the Effects of Low Vehicle Density in Highly Mobile Vehicular Named-Data Networks

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DIVANet '17: Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications

Pages 117 - 124

https://doi.org/10.1145/3132340.3132341

Published: 21 November 2017 Publication History

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Abstract

In this work, we address the negative effects of network partitions, caused by low vehicle densities, on the performance of Vehicular Named-Data Networking (VNDN) applications. We target scenarios with high mobility and propose two different solutions. For cases with infrastructure support, we present the idea of VNDN agent delegation. For this approach, we develop a VNDN communication mechanism for Road Side Units (RSUs), we deploy it in RSUs along roads, and delegate content retrieval to these VNDN enabled RSUs. For cases with lack of infrastructure support we develop a novel store carry forward mechanism for VNDN message retransmissions by vehicles in the case of network partitions occurrence. Simulation results show that both solutions are efficient and scalable. Besides, our solutions also prevent the well-known problems of broadcast storms and message redundancy and address the effects of reverse path partitioning.

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Duarte JBraun TCurado M(2024)Vehicular Named-Data Networking: Background, State of the Art, and Challenges. A Review2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT61029.2024.00110(716-723)Online publication date: 29-Apr-2024
https://doi.org/10.1109/DCOSS-IoT61029.2024.00110
Fayyaz SAtif Ur Rehman MSalah Ud Din MBiswas MBashir AKim B(2023)Information-Centric Mobile Networks: A Survey, Discussion, and Future Research DirectionsIEEE Access10.1109/ACCESS.2023.326877511(40328-40372)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3268775
Hussaini MNaeem MKim B(2021)OPMSS: Optimal Producer Mobility Support Solution for Named Data NetworkingApplied Sciences10.3390/app1109406411:9(4064)Online publication date: 29-Apr-2021
https://doi.org/10.3390/app11094064
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Addressing the Effects of Low Vehicle Density in Highly Mobile Vehicular Named-Data Networks
1. Networks

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MobiArch '17: Proceedings of the Workshop on Mobility in the Evolving Internet Architecture

This work investigates the topic of Vehicular Named Data Networking (VNDN). We propose a new VNDN routing protocol and address the negative effects caused by receiver mobility. In particular, we identify the problem of Reverse Path Partitioning (RPP) ...
A comprehensive and configurable simulation environment for supporting vehicular named-data networking applications
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Published In

DIVANet '17: Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications

November 2017

160 pages

ISBN:9781450351645

DOI:10.1145/3132340

General Chair:
Mirela S.M.A. Notare
Faculdade de Tecnologia em Transporte Aéreo, Brazil
,
Program Chair:
Rodolfo Coutinho
UFMG, Brazil

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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 November 2017

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
São Research Foundation (FAPESP)
Swiss National Science Foundation

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MSWiM '17

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SIGSIM

MSWiM '17: 20th ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems

November 21 - 25, 2017

Florida, Miami, USA

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Overall Acceptance Rate 70 of 308 submissions, 23%

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Duarte JBraun TCurado M(2024)Vehicular Named-Data Networking: Background, State of the Art, and Challenges. A Review2024 20th International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT)10.1109/DCOSS-IoT61029.2024.00110(716-723)Online publication date: 29-Apr-2024
https://doi.org/10.1109/DCOSS-IoT61029.2024.00110
Fayyaz SAtif Ur Rehman MSalah Ud Din MBiswas MBashir AKim B(2023)Information-Centric Mobile Networks: A Survey, Discussion, and Future Research DirectionsIEEE Access10.1109/ACCESS.2023.326877511(40328-40372)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3268775
Hussaini MNaeem MKim B(2021)OPMSS: Optimal Producer Mobility Support Solution for Named Data NetworkingApplied Sciences10.3390/app1109406411:9(4064)Online publication date: 29-Apr-2021
https://doi.org/10.3390/app11094064
Al-Omaisi HSundararajan EAlsaqour RAbdullah NAbdelhaq M(2021)A survey of data dissemination schemes in vehicular named data networkingVehicular Communications10.1016/j.vehcom.2021.10035330(100353)Online publication date: Aug-2021
https://doi.org/10.1016/j.vehcom.2021.100353
Burhan MRehman RKim B(2020)Velocity Based Reliable Forwarding Strategy Towards Disconnect Link Avoidance in NDN-VANETs2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW)10.1109/WCNCW48565.2020.9124909(1-6)Online publication date: Apr-2020
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Wu ZJiang SWang L(2020)Resilient Data Retrieval in Vehicular Named Data Networking2020 International Conference on Networking and Network Applications (NaNA)10.1109/NaNA51271.2020.00085(464-469)Online publication date: Dec-2020
https://doi.org/10.1109/NaNA51271.2020.00085
Khelifi HLuo SNour BMoungla HFaheem YHussain RKsentini A(2020)Named Data Networking in Vehicular Ad Hoc Networks: State-of-the-Art and ChallengesIEEE Communications Surveys & Tutorials10.1109/COMST.2019.289481622:1(320-351)Online publication date: Sep-2021
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Qiu CYu FXu FYao HZhao CNotare MSun PCoutinho R(2018)Blockchain-Based Distributed Software-Defined Vehicular Networks via Deep Q-LearningProceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications10.1145/3272036.3272040(8-14)Online publication date: 25-Oct-2018
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Grewe DWagner MSchildt SArumaithurai MFrey H(2018)Caching-as-a-Service in Virtualized Caches for Information-Centric Connected Vehicle Environments2018 IEEE Vehicular Networking Conference (VNC)10.1109/VNC.2018.8628354(1-8)Online publication date: Dec-2018
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Kalogeiton EKolonko TBraun T(2018)A topology-oblivious routing protocol for NDN-VANETsAnnals of Telecommunications10.1007/s12243-018-0661-473:9-10(577-587)Online publication date: 9-Aug-2018
https://doi.org/10.1007/s12243-018-0661-4

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Receiver Mobility in Vehicular Named Data Networking

A comprehensive and configurable simulation environment for supporting vehicular named-data networking applications

Vehicle-to-vehicle connectivity analysis for vehicular ad-hoc networks

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Receiver Mobility in Vehicular Named Data Networking

A comprehensive and configurable simulation environment for supporting vehicular named-data networking applications

Vehicle-to-vehicle connectivity analysis for vehicular ad-hoc networks

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