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The Scalability Problem of Vehicular Ad Hoc Networks and How to Solve it

Journal
IEEE Wireless Communications Magazine
ISSN
1536-1284
ISSN-Digital
1558-0687
Type
journal article
Date Issued
2006-10-01
Author(s)
Kosch, Timo
Adler, Christian
Eichler, Stephan
Schroth, Christoph
Strassberger, Markus
DOI
10.1109/WC-M.2006.250354
Abstract
Inter-vehicle communication (IVC) and its diverse possibilities of application have led to great interest both in research and industry. Especially the dissemination of active safety messages generated by cooperative and context sensitive applications in vehicular ad hoc networks (VANETs) may significantly improve passenger safety and comfort. One of the main challenges inherent to the deployment of
VANETs is operability, both in lowly interconnected and in highly overloaded networks. This scalability problem is not comprehensively addressed by existing approaches as they only focus on parts of the problem. This article shows how a relevance based, altruistic communication scheme helps realizing scalability by optimizing the application benefit and the bandwidth usage. In-vehicle and inter-vehicle message selection are based on a relevance function that makes use of the current context and the content of the messages. A novel, proprietary cross-layer architecture and an IEEE 802.11e-based architecture can be used to implement the scheme. Extensive simulations have been conducted to show the functionality of the approach both for sparse and dense
networks.

http://www.comsoc.org/livepubs/pci/public/2006/oct/index.html
http://www.christoph-schroth.de
Language
English
Keywords
Vehicular Ad-hoc Networks
Scalability
Quality-of-Service
VANETs
Inter-vehicular communications
IVC
Car-to-Car Communication
SAP
wireless communications
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
IEEE
Publisher place
New York
Volume
13
Number
5
Start page
22
End page
28
Pages
7
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/82454
Subject(s)

information managemen...

Eprints ID
30977
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