DocumentCode :
2180338
Title :
On infostation density of vehicular networks
Author :
Kone, Vinod ; Zheng, Haitao ; Rowstron, Antony ; Zhao, Ben Y.
Author_Institution :
Dept. of Comput. Sci., U. C. Santa Barbara, Santa Barbara, CA, USA
fYear :
2010
fDate :
1-3 March 2010
Firstpage :
1
Lastpage :
9
Abstract :
Vehicle-to-Vehicle and Vehicle-to-Roadside communications are going to become an indispensable part of the modern day automotive experience. For people on the move, vehicular networks can provide critical network connectivity and access to real-time information. Infestations play a vital role in these networks by acting as gateways to the Internet and by extending network connectivity. In this context, an important question is "What is the minimum number of infestations that need to be deployed in an area in order to support vehicular applications?" Optimizing infostation density is vital to understanding and reducing the cost of deployment and management. In this paper, we examine the required infostation density in a highway scenario using different data dissemination models. We start from a simple analysis that captures the required density under idealized assumptions. We then run detailed QualNet simulations on both controlled and realistic vehicular traces to observe the information density trends in practical environments, and consequently propose techniques to improve dissemination performance and reduce the required infostation density.
Keywords :
Internet; mobile radio; telecommunication network management; Internet; QualNet simulation; data dissemination models; infostation density; network connectivity; vehicle-to-roadside communications; vehicle-to-vehicle communications; Cellular networks; Costs; Mobile handsets; Road transportation; Satellite broadcasting; Space technology; Streaming media; Telecommunication control; Vehicles; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Internet Conference (WICON), 2010 The 5th Annual ICST
Conference_Location :
Singapore
Electronic_ISBN :
978-963-9799-86-8
Type :
conf
Filename :
5452670
Link To Document :
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