Linear cooperative detection for alarm messages in cluster-based vehicular ad hoc networks

Shuhua Jiang*, Hsi-Lu Chao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Vehicular ad hoc network (VANET) is a special class of mobile ad hoc Networks (MANET), and is an important component of Intelligent Transportation System (ITS). VANET has a future potential in terms of a rich set of applications that it can provide to its customer. Accident detection is a key functionality of ITS. Due to the effects of channel fading and shadowing, individual vehicles may not be able to reliably detect the existence of an accident. In this paper, we propose a linear cooperation framework for accident detection in a cluster-based VANET. In this framework, accident detection is based on the linear combination of local statistics gathered by individual vehicles. Our objectives are minimizing the probability of false alarm and avoiding broadcast storm. Based on the problem formulation and derivation, we proposed two efficient algorithms to do alarm detection: local detection and global detection. The numerical results show that our heuristic strategies perform well on false alarm detection.

Original languageEnglish
Title of host publication2010 IEEE Wireless Communications and Networking Conference, WCNC 2010 - Proceedings
DOIs
StatePublished - 3 Aug 2010
EventIEEE Wireless Communications and Networking Conference 2010, WCNC 2010 - Sydney, NSW, Australia
Duration: 18 Apr 201021 Apr 2010

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Conference

ConferenceIEEE Wireless Communications and Networking Conference 2010, WCNC 2010
CountryAustralia
CitySydney, NSW
Period18/04/1021/04/10

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