Using cellular automata to form car society in vehicular ad hoc networks

Sheng-Tzong Cheng, Gwo Jiun Horng, Chih Lun Chou

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

This paper proposes a novel approach to clustering the interests of car drivers, increasing the lifetime of interest groups, and increasing the throughput in vehicle-to-vehicle environments. It develops an interest ontology of cellular automata (CA) clustering using the zone of interest (ZOI) for mobicast communications in vehicular ad hoc network (VANET) environments. The key to the proposed method is to integrate CA clustering with the ontology of users' interests. This paper argues for the use of both an interest profile (ontology) of drivers and information about vehicles to form a group of VANET-related interests. The current study evaluates the performance of the approach by conducting computer simulations. Simulation results reveal the strengths of the proposed CA clustering algorithm in terms of increased group lifetime and increased ZOI throughput for VANETs.

Original languageEnglish
Article number5910384
Pages (from-to)1374-1384
Number of pages11
JournalIEEE Transactions on Intelligent Transportation Systems
Volume12
Issue number4
DOIs
Publication statusPublished - 2011 Dec 1

Fingerprint

Vehicular ad hoc networks
Cellular automata
Ontology
Railroad cars
Throughput
Clustering algorithms
Communication
Computer simulation

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

@article{4f4a90b036f248718918b0c8fa980515,
title = "Using cellular automata to form car society in vehicular ad hoc networks",
abstract = "This paper proposes a novel approach to clustering the interests of car drivers, increasing the lifetime of interest groups, and increasing the throughput in vehicle-to-vehicle environments. It develops an interest ontology of cellular automata (CA) clustering using the zone of interest (ZOI) for mobicast communications in vehicular ad hoc network (VANET) environments. The key to the proposed method is to integrate CA clustering with the ontology of users' interests. This paper argues for the use of both an interest profile (ontology) of drivers and information about vehicles to form a group of VANET-related interests. The current study evaluates the performance of the approach by conducting computer simulations. Simulation results reveal the strengths of the proposed CA clustering algorithm in terms of increased group lifetime and increased ZOI throughput for VANETs.",
author = "Sheng-Tzong Cheng and Horng, {Gwo Jiun} and Chou, {Chih Lun}",
year = "2011",
month = "12",
day = "1",
doi = "10.1109/TITS.2011.2158211",
language = "English",
volume = "12",
pages = "1374--1384",
journal = "IEEE Transactions on Intelligent Transportation Systems",
issn = "1524-9050",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "4",

}

Using cellular automata to form car society in vehicular ad hoc networks. / Cheng, Sheng-Tzong; Horng, Gwo Jiun; Chou, Chih Lun.

In: IEEE Transactions on Intelligent Transportation Systems, Vol. 12, No. 4, 5910384, 01.12.2011, p. 1374-1384.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Using cellular automata to form car society in vehicular ad hoc networks

AU - Cheng, Sheng-Tzong

AU - Horng, Gwo Jiun

AU - Chou, Chih Lun

PY - 2011/12/1

Y1 - 2011/12/1

N2 - This paper proposes a novel approach to clustering the interests of car drivers, increasing the lifetime of interest groups, and increasing the throughput in vehicle-to-vehicle environments. It develops an interest ontology of cellular automata (CA) clustering using the zone of interest (ZOI) for mobicast communications in vehicular ad hoc network (VANET) environments. The key to the proposed method is to integrate CA clustering with the ontology of users' interests. This paper argues for the use of both an interest profile (ontology) of drivers and information about vehicles to form a group of VANET-related interests. The current study evaluates the performance of the approach by conducting computer simulations. Simulation results reveal the strengths of the proposed CA clustering algorithm in terms of increased group lifetime and increased ZOI throughput for VANETs.

AB - This paper proposes a novel approach to clustering the interests of car drivers, increasing the lifetime of interest groups, and increasing the throughput in vehicle-to-vehicle environments. It develops an interest ontology of cellular automata (CA) clustering using the zone of interest (ZOI) for mobicast communications in vehicular ad hoc network (VANET) environments. The key to the proposed method is to integrate CA clustering with the ontology of users' interests. This paper argues for the use of both an interest profile (ontology) of drivers and information about vehicles to form a group of VANET-related interests. The current study evaluates the performance of the approach by conducting computer simulations. Simulation results reveal the strengths of the proposed CA clustering algorithm in terms of increased group lifetime and increased ZOI throughput for VANETs.

UR - http://www.scopus.com/inward/record.url?scp=82455187985&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=82455187985&partnerID=8YFLogxK

U2 - 10.1109/TITS.2011.2158211

DO - 10.1109/TITS.2011.2158211

M3 - Article

AN - SCOPUS:82455187985

VL - 12

SP - 1374

EP - 1384

JO - IEEE Transactions on Intelligent Transportation Systems

JF - IEEE Transactions on Intelligent Transportation Systems

SN - 1524-9050

IS - 4

M1 - 5910384

ER -