Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/10757
Title: Message Dissemination Optimization in Vehicular Ad-hoc Network
Other Titles: تحسين انتشار الرسائل في الاتصالات اللاسلكية بين المركبات
Authors: Hussein, Safa Hussein Mohammed Mohammed
Supervisor - Fath Elrahman Ismael Khalifa
Keywords: Communications Engineering
Spread messages
Wireless communications
Vehicles
Issue Date: 1-Nov-2014
Publisher: Sudan University of Science and Technology
Citation: Hussein,Safa Hussein Mohammed Mohammed .Message Dissemination Optimization in Vehicular Ad-hoc Network /Safa Hussein Mohammed Mohammed Hussein ;Fath Elrahman Ismael Khalifa.-Khartoum: Sudan University of Science and Technology, College of Engineering, 2014.-53p. :ill ;28cm .-M.Sc.
Abstract: Vehicular Ad hoc networks (VANETs) are self-organizing networks. They are the upcoming wireless network environment for intelligent transportation systems (ITS) . VANETs can significantly the improve the traffic safety without requiring fixed infrastructure or centralized administration. However, data dissemination in VANET environment is a challenging task, mainly due to: rapid changes in network topology, the high dynamic of the network topology, different traffic type, and mobility patterns. For safety and emergency message applications, reliable message dissemination is an important key factor . In this thesis, it is proposed a new protocol for reliable message dissemination in vehicular ad hoc networks. This protocol is called optimal clustered geocast protocol (OCG) . The matlab is used for simulation and require results are taken.The efficiency of this protocol is measured in terms of reliability message, delivery ratio, overhead and latency . The advantage of the proposed protocol is increasement of the reliability of the message to 40%broadcasting rate to 100%,while it enhances congestion by 43% and delay by 93% respectively.
Description: thesis
URI: http://repository.sustech.edu/handle/123456789/10757
Appears in Collections:Masters Dissertations : Engineering

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