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Real Time Location Finding for Vehicles in Transport Systems

Sorush Arzani, Mohammad | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: English
  3. Document No: 40689 (52)
  4. University: Sharif University of Technology, International Campus, Kish Island
  5. Department: Science and Engineering
  6. Advisor(s): Hemmatyar, Afshin
  7. Abstract:
  8. In mobile ad hoc networks, having an efficient routing protocol to deal with dynamics in network topology, based on the user behavior learning, has a significant role in generating more accurate results. It is valuable to use a realistic mobility model in such networks so that the results from the simulation will reflect the actual reaction of mobile nodes in the real world. Using a realistic mobility model helps simulation to have more accurate results in comparison with other kinds of mobility models especially in a Vehicular Ad hoc Network (VANET). Before exchanging information between moving vehicles, the destination node should be located. However, the existing location service used in Mobile Ad hoc Network (MANET) is not suitable for a vehicular ad hoc network. This work which uses the technology of Global Positioning System (GPS) to calculate the current position and velocity of a moving vehicle in the transport system of Kish Island in order to generate a realistic mobility model presents a practical method for real time positioning of vehicles. Other important issues in mobile ad hoc networks are link duration, link reliability, finding the shortest path to the destination, power consumption and etc. In fact, mobile nodes show some degree of regularity in the mobility pattern in VANETs. For example, a car traveling on a road is likely to keep its direction and speed for some period of time before it changes them. By studying a mobile user’s non-random traveling pattern and history of movement, we can predict the future state of a network topology and thus provide a transparent network access during the period of topology changes of each vehicle. With the aid of this information, we will be able to predict the next position of the vehicle by using history based mobility prediction method and GPS data in order to improve routing algorithms in ad hoc networks
  9. Keywords:
  10. Location ; Mobility Model ; Vehicular Ad Hoc Network (VANET) ; Ad Hoc Network ; Global Position System (GPS)

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