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Self-Organizing Wireless Sensor Networks For Inter-Vehicle Communication

<p>Now a day, one of the most attractive research topics in the area of Intelligent Traffic Control is </p><p>Inter-vehicle communication (V2V communication). In V2V communication, a vehicle can </p><p>communicate to its neighbouring vehicles even in the absence of a central Base Station. The </p><p>concept of this direct communication is to send vehicle safety messages one-to-one or one-to- </p><p>many vehicles via wireless connection. Such messages are usually short in length and have very </p><p>short lifetime in which they must reach the destination. The Inter-vehicle communication system </p><p>is an ad-hoc network with high mobility and changing number of nodes, where mobile nodes </p><p>dynamically create temporary sensor networks and transferring messages from one network to </p><p>others by using multiple hops due to limitation of short range. </p><p> </p><p>The goal of the project is to investigate some basic research questions in order to organize such </p><p>sensor networks and at the same time highlight the appropriate routing protocol that support </p><p>mobile ad hoc networks in an efficient and reliable manner. </p><p> </p><p>In our investigation, we have answered the technical issues in order to construct a V2V </p><p>communication system. We have also studied some mobile ad hoc network routing protocols in </p><p>detail and then selected the DSR (Dynamic Source Routing) for our V2V communication and </p><p>then simulated it according to our system requirements. We are quite satisfied by the result of </p><p>DSR, but at the same time much more work is required to come up with an absolute application </p><p>for the end user.</p>

Identiferoai:union.ndltd.org:UPSALLA/oai:DiVA.org:hh-230
Date January 2006
CreatorsIqbal, Zeeshan
PublisherHalmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Högskolan i Halmstad/Sektionen för Informationsvetenskap, Data- och Elektroteknik (IDE)
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, text

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