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Content Distribution Service Analysis in Vehicular Ad-Hoc Networks

Kananian, Borna | 2013

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 45284 (05)
  4. University: Sharif University of Technology
  5. Department: Electricla Engineering
  6. Advisor(s): Ashtiani, Farid
  7. Abstract:
  8. Car accident damages take about 7 percent of GPD of Iran every year. As a result of car accidents, the economy of the country is damaging irreparably. The amount of road casualties equals casualties in a complete war. Considering the aforementioned conditions, the researchers are thinking about new technologies to reduce the cost of the accidents. So the use of Vehicular ad-hoc Networks (VANET) is inevitable in the near future. Content distribution service is one of the emerging services of VANETs. This service is used in both safety and comfort related applications. Content distribution describes delivery of media content such as Video, Audio, Image, Text, Software, and Video Games over online mediums. In this thesis we analyze this service due to its importance. In the first step, we define a new scenario. In this scenario a Road Side Unit (RSU), wants to disseminate traffic information to all vehicles in the Area of Interest (AoI). To this end, RSU broadcasts the information in its coverage periodically. There are few vehicles receiving the content directly from the RSU because of coverage restrictions. The vehicles should cooperate to deliver the content to the edge of AoI. After defining the scenario, we analyze content distribution issue, with the purpose of calculating critical parameters of our network. Content Distribution Ratio (CDR), is one of these parameters that describe the throughput in VANETs. We define CDR as the average number of vehicles receiving new packet during a transmission period of RSU. As safety related applications are the main motivation in VANETs, delay is another critical factor. In our analytic approach we exploit Queueing Theory tools and specially Queueing Networks. New challenges arise when we add a new safety related service to our scenario. We addressed these challenges by modeling them with the help of Queueing Theory tools. Simulation results confirm accuracy and efficiency of our analysis
  9. Keywords:
  10. Queueing Network ; Vehicular Ad Hoc Network (VANET) ; Content Distribution

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