NSoV: An Efficient SDVC Assisted Forwarding Model in NDN Based IoV

Asadullah Tariq; Farag Salabi; Mohamed Serhani; Irfan Ud Din

doi:10.1007/978-3-031-28387-1_46

NSoV: An Efficient SDVC Assisted Forwarding Model in NDN Based IoV

Asadullah Tariq, Farag Salabi, Mohamed Serhani, Irfan Ud Din

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

1 Citation (Scopus)

Abstract

Internet of Vehicles (IoV) is a fast-growing mechanism, identified as a good solution to connectivity and communication issues. The conventional Vehicular Ad Hoc Networks (VANETs) trend is shifting towards IoV. Most of the expectations of the IoV are achieved by a thriving internet paradigm called Named Data Networking (NDN). The main inspiration behind NDN is the limitations of current IP Internet architecture. Another emerging networking paradigm is Software-Defined Networking (SDN), which is highly capable of transforming complex networking architectures into simple architectures along with well-planned management of overall networks. In NDN-based IoV, broadcast storm is a major issue due to NDN’s broadcasting nature. In IoV scenarios, unnecessary transmission delays and disconnected link problems are created by the fast-changing topology and high speed of vehicles. In this paper, we propose an intelligent forwarding strategy in NDN-enabled IoV using Software Defined Vehicular Controller (SDVC) and Edge Controller (EC) along with a reliable and durable path estimation model. We use NS3 and SUMO to simulate the model and run experiments. The delay is reduced by the In-network caching and naming strategy of NDN nodes. In the network, path failure minimization is mainly contributed by the properties of EC.

Original language	English
Title of host publication	Proceedings of the 6th International Conference on Big Data and Internet of Things
Editors	Mohamed Lazaar, El Mokhtar En-Naimi, Abdelhamid Zouhair, Mohammed Al Achhab, Oussama Mahboub
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	550-563
Number of pages	14
ISBN (Print)	9783031283864
DOIs	https://doi.org/10.1007/978-3-031-28387-1_46
Publication status	Published - 2023
Event	6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022 - Tangier, Morocco Duration: Oct 25 2022 → Oct 27 2022

Publication series

Name	Lecture Notes in Networks and Systems
Volume	625 LNNS
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022
Country/Territory	Morocco
City	Tangier
Period	10/25/22 → 10/27/22

Keywords

EC
Forwarding
IoV
Named Data Networking
SDN

ASJC Scopus subject areas

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

Access to Document

10.1007/978-3-031-28387-1_46

Cite this

Tariq, A., Salabi, F., Serhani, M., & Din, I. U. (2023). NSoV: An Efficient SDVC Assisted Forwarding Model in NDN Based IoV. In M. Lazaar, E. M. En-Naimi, A. Zouhair, M. Al Achhab, & O. Mahboub (Eds.), Proceedings of the 6th International Conference on Big Data and Internet of Things (pp. 550-563). (Lecture Notes in Networks and Systems; Vol. 625 LNNS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-28387-1_46

NSoV: An Efficient SDVC Assisted Forwarding Model in NDN Based IoV. / Tariq, Asadullah; Salabi, Farag ; Serhani, Mohamed et al.
Proceedings of the 6th International Conference on Big Data and Internet of Things. ed. / Mohamed Lazaar; El Mokhtar En-Naimi; Abdelhamid Zouhair; Mohammed Al Achhab; Oussama Mahboub. Springer Science and Business Media Deutschland GmbH, 2023. p. 550-563 (Lecture Notes in Networks and Systems; Vol. 625 LNNS).

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

Tariq, A, Salabi, F , Serhani, M & Din, IU 2023, NSoV: An Efficient SDVC Assisted Forwarding Model in NDN Based IoV. in M Lazaar, EM En-Naimi, A Zouhair, M Al Achhab & O Mahboub (eds), Proceedings of the 6th International Conference on Big Data and Internet of Things. Lecture Notes in Networks and Systems, vol. 625 LNNS, Springer Science and Business Media Deutschland GmbH, pp. 550-563, 6th International Conference on Big Data Cloud and Internet of Things, BDIoT 2022, Tangier, Morocco, 10/25/22. https://doi.org/10.1007/978-3-031-28387-1_46

Tariq A, Salabi F , Serhani M, Din IU. NSoV: An Efficient SDVC Assisted Forwarding Model in NDN Based IoV. In Lazaar M, En-Naimi EM, Zouhair A, Al Achhab M, Mahboub O, editors, Proceedings of the 6th International Conference on Big Data and Internet of Things. Springer Science and Business Media Deutschland GmbH. 2023. p. 550-563. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-031-28387-1_46

Tariq, Asadullah ; Salabi, Farag ; Serhani, Mohamed et al. / NSoV : An Efficient SDVC Assisted Forwarding Model in NDN Based IoV. Proceedings of the 6th International Conference on Big Data and Internet of Things. editor / Mohamed Lazaar ; El Mokhtar En-Naimi ; Abdelhamid Zouhair ; Mohammed Al Achhab ; Oussama Mahboub. Springer Science and Business Media Deutschland GmbH, 2023. pp. 550-563 (Lecture Notes in Networks and Systems).

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abstract = "Internet of Vehicles (IoV) is a fast-growing mechanism, identified as a good solution to connectivity and communication issues. The conventional Vehicular Ad Hoc Networks (VANETs) trend is shifting towards IoV. Most of the expectations of the IoV are achieved by a thriving internet paradigm called Named Data Networking (NDN). The main inspiration behind NDN is the limitations of current IP Internet architecture. Another emerging networking paradigm is Software-Defined Networking (SDN), which is highly capable of transforming complex networking architectures into simple architectures along with well-planned management of overall networks. In NDN-based IoV, broadcast storm is a major issue due to NDN{\textquoteright}s broadcasting nature. In IoV scenarios, unnecessary transmission delays and disconnected link problems are created by the fast-changing topology and high speed of vehicles. In this paper, we propose an intelligent forwarding strategy in NDN-enabled IoV using Software Defined Vehicular Controller (SDVC) and Edge Controller (EC) along with a reliable and durable path estimation model. We use NS3 and SUMO to simulate the model and run experiments. The delay is reduced by the In-network caching and naming strategy of NDN nodes. In the network, path failure minimization is mainly contributed by the properties of EC.",

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NSoV: An Efficient SDVC Assisted Forwarding Model in NDN Based IoV

Abstract

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Keywords

ASJC Scopus subject areas

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