DocumentCode
1632365
Title
Middleware architecture for intelligence in vehicular safety over VANET (InVANET)
Author
Gnanamurthy, Ramasamy Kannan ; Saravanan, K. ; Thangavelu, Arunkumar
Author_Institution
Vivekanandha Coll. of Eng. for Women, India
fYear
2009
Firstpage
1
Lastpage
7
Abstract
The abstract is to be in Vehicular ad-hoc networks (VANET) belonging to family of ad-hoc uses IEEE 802.11p standard which have received considerable attention in many vehicular projects and industry groups. VANETs are a special kind of mobile Ad-Hoc networks where wireless-equipped (road-side) vehicles form a network with no additional infrastructure. While many communication scenarios exist for these networks, InVANET project focuses on the application to improve vehicular safety by taking into account the physiological and ecological context-aware / sensitive parameters to increase driver convenience. The aim of this research work is to focus on design of a middleware architectural model for providing safety in ¿high-speed mobile¿ vehicles forming a network. Even though a number of passive safety approaches exist, incorporating active safety (intelligence) is challenging part of this work. This research paper discusses on design, functionality and working architecture of InVANET and the test-bed is being simulated over IEEE 802.11 VANET nodes.
Keywords
ad hoc networks; middleware; mobile computing; road safety; IEEE 802.11p standard; InVANET project; context-aware parameter; high-speed mobile vehicles; middleware architecture; sensitive parameter; vehicular ad-hoc networks; vehicular safety; Ad hoc networks; Intelligent networks; Intelligent vehicles; Middleware; Road accidents; Road safety; Road vehicles; Vehicle crash testing; Vehicle driving; Vehicle safety;
fLanguage
English
Publisher
ieee
Conference_Titel
Current Trends in Information Technology (CTIT), 2009 International Conference on the
Conference_Location
Dubai
Print_ISBN
978-1-4244-5754-0
Electronic_ISBN
978-1-4244-5756-4
Type
conf
DOI
10.1109/CTIT.2009.5423143
Filename
5423143
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