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.

Professional Ethics: We S-Logix would appreciate the students those who willingly contribute with atleast a line of thinking of their own while preparing the project with us. It is advised that the project given by us be considered only as a model project and be applied with confidence to contribute your own ideas through our expert guidance and enrich your knowledge.