Main Reference Paper V2X Routing in a VANET Based on the Hidden Markov Model, IEEE Transactions on Intelligent Transportation Systems, June 2017 [NS2].
  • A novel predictive routing scheme is proposed which can effectively predict a vehicle’s near future path according to its past mobility trace with e hidden Markov model (HMM). A Forward-Backward Algorithm is applied to train HMM, which makes full use of the past mobility patterns to maximize the probability of message arriving at the destinations. A routing decision scheme is proposed to efficiently select relay nodes for message forwarding, taking advantage of the movement pattern predicted based on the forwarding probability and delay to the destination.

Description
  • A novel predictive routing scheme is proposed which can effectively predict a vehicle’s near future path according to its past mobility trace with e hidden Markov model (HMM). A Forward-Backward Algorithm is applied to train HMM, which makes full use of the past mobility patterns to maximize the probability of message arriving at the destinations. A routing decision scheme is proposed to efficiently select relay nodes for message forwarding, taking advantage of the movement pattern predicted based on the forwarding probability and delay to the destination.

  • To improve the road safety and traffic efficiency.

  • o improve the performance or overall performance.

Aim & Objectives
  • To improve the road safety and traffic efficiency.

  • o improve the performance or overall performance.

  • A technique is contributed to further improve the overall performance of the network.

Contribution
  • A technique is contributed to further improve the overall performance of the network.

  • Operating System : Ubuntu 12.04 LTS 64bit.

  • Simulator: NS 2.35, SUMO & MOVE, Language : TCL and AWK script, (C++)

Software Tools & Technologies
  • Operating System : Ubuntu 12.04 LTS 64bit.

  • Simulator: NS 2.35, SUMO & MOVE, Language : TCL and AWK script, (C++)

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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