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

Producción científica: Conference contribution › revisión exhaustiva

1 Cita (Scopus)

Resumen

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.

Idioma original	English
Título de la publicación alojada	Advances in Information and Communication - Proceedings of the 2021 Future of Information and Communication Conference, FICC
Editores	Kohei Arai
Páginas	425-437
Número de páginas	13
DOI	https://doi.org/10.1007/978-3-030-73100-7_30
Estado	Published - 2021
Evento	Future of Information and Communication Conference, FICC 2021 - Virtual, Online Duración: abr 29 2021 → abr 30 2021

Serie de la publicación

Nombre	Advances in Intelligent Systems and Computing
Volumen	1363 AISC
ISSN (versión impresa)	2194-5357
ISSN (versión digital)	2194-5365

Conference

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

Nota bibliográfica

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

ASJC Scopus subject areas

Control and Systems Engineering
General Computer Science

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

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@inproceedings{77c93479639949b39cc69f52dab23ff2,

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. En 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).

Producción científica: Conference contribution › revisión exhaustiva

TY - GEN

T1 - Progressive Segment Routing for Vehicular Named Data Networks

AU - Aldahlan, Bassma

AU - Fei, Zongming

PY - 2021

Y1 - 2021

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

M3 - Conference contribution

AN - SCOPUS:85105923679

SN - 9783030730994

T3 - Advances in Intelligent Systems and Computing

SP - 425

EP - 437

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

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Y2 - 29 April 2021 through 30 April 2021

ER -

Progressive Segment Routing for Vehicular Named Data Networks

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