On the Design of Efficient Hierarchic Architecture for Software Defined Vehicular Networks.

QoS SDVN VANETs scheduling traffic management

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
17 Feb 2021
Historique:
received: 24 11 2020
revised: 01 02 2021
accepted: 13 02 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 7 3 2021
Statut: epublish

Résumé

Modern vehicles are equipped with various sensors, onboard units, and devices such as Application Unit (AU) that support routing and communication. In VANETs, traffic management and Quality of Service (QoS) are the main research dimensions to be considered while designing VANETs architectures. To cope with the issues of QoS faced by the VANETs, we design an efficient SDN-based architecture where we focus on the QoS of VANETs. In this paper, QoS is achieved by a priority-based scheduling algorithm in which we prioritize traffic flow messages in the safety queue and non-safety queue. In the safety queue, the messages are prioritized based on deadline and size using the New Deadline and Size of data method (NDS) with constrained location and deadline. In contrast, the non-safety queue is prioritized based on First Come First Serve (FCFS) method. For the simulation of our proposed scheduling algorithm, we use a well-known cloud computing framework

Identifiants

pubmed: 33671281
pii: s21041400
doi: 10.3390/s21041400
pmc: PMC7922577
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : The Ministry of Higher Education Malaysia and Universiti Kebangsaan Malaysia
ID : grant ID: GGPM-2020-029 and grant ID: PP-FTSM-2020

Références

Sensors (Basel). 2020 Mar 18;20(6):
pubmed: 32197501

Auteurs

Muhammad Adnan (M)

Department of Information Technology, Hazara University Mansehra, Mansehra 21120, Pakistan.

Jawaid Iqbal (J)

Department of Information Technology, Hazara University Mansehra, Mansehra 21120, Pakistan.
Department of Computer Science, Capital University of Science and Technology, Islamabad 44000, Pakistan.

Abdul Waheed (A)

Department of Information Technology, Hazara University Mansehra, Mansehra 21120, Pakistan.
School of Electrical and Computer Engineering, Seoul National University, Seoul 08826, Korea.

Noor Ul Amin (NU)

Department of Information Technology, Hazara University Mansehra, Mansehra 21120, Pakistan.

Mahdi Zareei (M)

Tecnologico de Monterrey, School of Engineering and Sciences, Zapopan 45201, Mexico.

Shidrokh Goudarzi (S)

Centre for Artificial Intelligent (CAIT), Universiti Kebangsaan Malaysia, Bangi 43600, Malaysia.

Asif Umer (A)

Department of Information Technology, Hazara University Mansehra, Mansehra 21120, Pakistan.

Classifications MeSH