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

Gomes Duarte, João do Monte; Braun, Torsten; Villas, Leandro (November 2017). Addressing the Effects of Low Vehicle Densities in Highly Mobile Vehicular Named-Data Networks. In: The Seventh ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications (DIVANet) (pp. 117-124). ACM 10.1145/3132340.3132341

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In this work, we investigate the 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 propose a new solution called VNDN store carry forward (VNDN-SCF). In VNDN-SCF, we develop a new store-carry- forward mechanism for VNDN message retransmissions by vehicles, in the case of network partitions occurrence. Simulation results show that both solutions are scalable and efficient for mitigating the negative effects on communication links between vehicles, caused by low vehicle densities and high speeds simultaneously. Besides, our solutions also avoid the well-known problems of broadcast storms and message redundancy and address the effects of reverse path partitioning.

Item Type:

Conference or Workshop Item (Paper)

Division/Institute:

08 Faculty of Science > Institute of Computer Science (INF) > Communication and Distributed Systems (CDS)
08 Faculty of Science > Institute of Computer Science (INF)

UniBE Contributor:

Gomes Duarte, João do Monte and Braun, Torsten

Subjects:

000 Computer science, knowledge & systems
500 Science > 510 Mathematics

Publisher:

ACM

Language:

English

Submitter:

Sayed Ali Marandi

Date Deposited:

12 Jun 2017 15:35

Last Modified:

01 Apr 2018 02:17

Publisher DOI:

10.1145/3132340.3132341

BORIS DOI:

10.7892/boris.101200

URI:

https://boris.unibe.ch/id/eprint/101200

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