ANTSC

An Intelligent Naïve Bayesian Probabilistic Estimation Practice for Traffic Flow to Form Stable Clustering in VANET

Amjad Mehmood, Akbar Khanan, Abdul Hakim H.M. Mohamed, Saeed Mahfooz, Houbing Song, Salwani Abdullah

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

The vehicular ad hoc network (VANET) is one of the promising and encouraging technologies, and it is going to attract great attention in the near future. VANET has turned into a main module of the intelligent transport system. It is a self-controlled, wheeled network (also called network on wheels), and a wider and stimulating class of mobile ad hoc network (MANET). VANETs raise many innovative challenges because of their high-class and unique features, such as high-node mobility, dynamic topology changes, wireless links breakage, network constancy, and network scalability. A well-organized routing protocol is one of the most challenging matters of such networks. In this paper, we propose an intelligent naïve Bayesian probabilistic estimation practice for traffic flow to form a stable clustering in VANET, briefly named ANTSC. The proposed scheme aims to improve routing by employing awareness of the current traffic flow as well as considering the blend of several factors, such as speed difference, direction, connectivity level, and node distance from its neighbors by using the intelligent technique. The proposed technique has proven to be more strong, stable, robust, and scalable than existing ones.

Original languageEnglish
Pages (from-to)4452-4461
Number of pages10
JournalIEEE Access
Volume6
DOIs
Publication statusPublished - 27 Jul 2017

Fingerprint

Vehicular ad hoc networks
Mobile ad hoc networks
Routing protocols
Telecommunication links
Scalability
Wheels
Topology

Keywords

  • clustering
  • intelligent transportation systems
  • mobile ad hoc network (MANET)
  • naïve Bayesian
  • reliable
  • routing
  • scalability
  • traffic flow
  • V2I
  • V2V
  • Vehicular ad hoc network (VANET)

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

Cite this

ANTSC : An Intelligent Naïve Bayesian Probabilistic Estimation Practice for Traffic Flow to Form Stable Clustering in VANET. / Mehmood, Amjad; Khanan, Akbar; Mohamed, Abdul Hakim H.M.; Mahfooz, Saeed; Song, Houbing; Abdullah, Salwani.

In: IEEE Access, Vol. 6, 27.07.2017, p. 4452-4461.

Research output: Contribution to journalArticle

Mehmood, Amjad ; Khanan, Akbar ; Mohamed, Abdul Hakim H.M. ; Mahfooz, Saeed ; Song, Houbing ; Abdullah, Salwani. / ANTSC : An Intelligent Naïve Bayesian Probabilistic Estimation Practice for Traffic Flow to Form Stable Clustering in VANET. In: IEEE Access. 2017 ; Vol. 6. pp. 4452-4461.
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