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Study on Reliable Vehicular Communication for Urban and Highway Traffic Mobility

Due to its extensive applications, VANETs had emerged as one of the important research areas in wireless networks. The main motto of vehicular technologies is to enhance traffic management by improving safety and also provide a reliable data exchange and information services among vehicles.   Vehicular communications is a co-operative technology that enables communication among different vehicles, infrastructure and other devices. V2V, V2I communication models are commonly used in vehicular networks. Recently, extensive research is being performed on hybrid model which integrates both V2V and V2I models. The main goal of this research is to study the nature of these communication models in an urban and highway traffic environment and suggest a simulated model which helps to which provide reliable vehicular communication.   Literature study helps to gain knowledge on the background of vehicular networks. Later, a simulated model is designed with the help of SUMO and NS-3 which implements all these communication models. The simulated model which is developed is classified into different phases and each phase represents a different communication model. Each phase is completely different from one another. All these phases are incorporated in both urban and highway traffic environments.   Performance metrics are evaluated and analyzed to study the behavior of these models. Throughput, PDR, Packet-Drop and Propagation-Delay are the performance metrics considered.   Simulation analysis shows that hybrid model exhibits a stable communication behavior when compared with V2V and V2I in both urban and highway traffic environments.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:bth-13271
Date January 2016
CreatorsNadella, Sai Anoop, Araga, Nikhil Reddy
PublisherBlekinge Tekniska Högskola, Institutionen för kommunikationssystem, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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