Progressive Segment Routing for Vehicular Named Data Networks

Bassma Aldahlan; Zongming Fei

doi:10.1007/978-3-030-73100-7_30

Progressive Segment Routing for Vehicular Named Data Networks

Bassma Aldahlan
, Zongming Fei

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Adopting the Named Data Networking (NDN) architecture for Vehicular Ad Hoc Networks (VANETs) can help improve the communication among vehicles because of the data-centric nature of NDN. Routing in vehicular NDNs is still a challenge because of high mobility and intermittent connections. This paper proposes a new progressive segment routing approach that takes into consideration how vehicles are distributed among different roads, with the goal of choosing well-traveled roads over less-traveled roads to reduce the failure rate of packet delivery. A novel criterion for determining progress of routing is designed to guarantee that the destination will be reached even if a temporary loop may be formed in the path. Simulation results demonstrate that the proposed progressive segment routing algorithm can achieve better performance than existing algorithms for vehicular NDNs.

Original language	English
Title of host publication	Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
Editors	Kohei Arai
Pages	425-437
Number of pages	13
DOIs	https://doi.org/10.1007/978-3-030-73100-7_30
State	Published - 2021
Event	Future of Information and Communication Conference, FICC 2021 - Virtual, Online Duration: Apr 29 2021 → Apr 30 2021

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1363 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	Future of Information and Communication Conference, FICC 2021
City	Virtual, Online
Period	4/29/21 → 4/30/21

Bibliographical note

Publisher Copyright:
© 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Keywords

Named Data Networking
Segment routing
Source routing
VANET
Vehicular networks

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

Access to Document

10.1007/978-3-030-73100-7_30

Cite this

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title = "Progressive Segment Routing for Vehicular Named Data Networks",

abstract = "Adopting the Named Data Networking (NDN) architecture for Vehicular Ad Hoc Networks (VANETs) can help improve the communication among vehicles because of the data-centric nature of NDN. Routing in vehicular NDNs is still a challenge because of high mobility and intermittent connections. This paper proposes a new progressive segment routing approach that takes into consideration how vehicles are distributed among different roads, with the goal of choosing well-traveled roads over less-traveled roads to reduce the failure rate of packet delivery. A novel criterion for determining progress of routing is designed to guarantee that the destination will be reached even if a temporary loop may be formed in the path. Simulation results demonstrate that the proposed progressive segment routing algorithm can achieve better performance than existing algorithms for vehicular NDNs.",

keywords = "Named Data Networking, Segment routing, Source routing, VANET, Vehicular networks",

author = "Bassma Aldahlan and Zongming Fei",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Future of Information and Communication Conference, FICC 2021 ; Conference date: 29-04-2021 Through 30-04-2021",

year = "2021",

doi = "10.1007/978-3-030-73100-7\_30",

language = "English",

isbn = "9783030730994",

series = "Advances in Intelligent Systems and Computing",

pages = "425--437",

editor = "Kohei Arai",

booktitle = "Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC",

}

Aldahlan, B & Fei, Z 2021, Progressive Segment Routing for Vehicular Named Data Networks. in K Arai (ed.), Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. Advances in Intelligent Systems and Computing, vol. 1363 AISC, pp. 425-437, Future of Information and Communication Conference, FICC 2021, Virtual, Online, 4/29/21. https://doi.org/10.1007/978-3-030-73100-7_30

Progressive Segment Routing for Vehicular Named Data Networks. / Aldahlan, Bassma; Fei, Zongming.
Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC. ed. / Kohei Arai. 2021. p. 425-437 (Advances in Intelligent Systems and Computing; Vol. 1363 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Aldahlan, Bassma

AU - Fei, Zongming

PY - 2021

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N2 - Adopting the Named Data Networking (NDN) architecture for Vehicular Ad Hoc Networks (VANETs) can help improve the communication among vehicles because of the data-centric nature of NDN. Routing in vehicular NDNs is still a challenge because of high mobility and intermittent connections. This paper proposes a new progressive segment routing approach that takes into consideration how vehicles are distributed among different roads, with the goal of choosing well-traveled roads over less-traveled roads to reduce the failure rate of packet delivery. A novel criterion for determining progress of routing is designed to guarantee that the destination will be reached even if a temporary loop may be formed in the path. Simulation results demonstrate that the proposed progressive segment routing algorithm can achieve better performance than existing algorithms for vehicular NDNs.

AB - Adopting the Named Data Networking (NDN) architecture for Vehicular Ad Hoc Networks (VANETs) can help improve the communication among vehicles because of the data-centric nature of NDN. Routing in vehicular NDNs is still a challenge because of high mobility and intermittent connections. This paper proposes a new progressive segment routing approach that takes into consideration how vehicles are distributed among different roads, with the goal of choosing well-traveled roads over less-traveled roads to reduce the failure rate of packet delivery. A novel criterion for determining progress of routing is designed to guarantee that the destination will be reached even if a temporary loop may be formed in the path. Simulation results demonstrate that the proposed progressive segment routing algorithm can achieve better performance than existing algorithms for vehicular NDNs.

KW - Named Data Networking

KW - Segment routing

KW - Source routing

KW - VANET

KW - Vehicular networks

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M3 - Conference contribution

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BT - Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC

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ER -

Progressive Segment Routing for Vehicular Named Data Networks

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this