Main Reference Paper QGeo: Q-Learning based Geographic Ad-Hoc Routing Protocol for Unmanned Robotic Networks, IEEE Communications Letters, January 2017 [NS2].
  • A novel protocol that uses Q-learning based geographic routing (QGeo) is proposed to improve the network performance of unmanned robotic networks. A rapid and reliable network is essential for the remote control and monitoring of mobile robotic devices. The QGeo can be executed in a distributed manner without global information.

+ Description
  • A novel protocol that uses Q-learning based geographic routing (QGeo) is proposed to improve the network performance of unmanned robotic networks. A rapid and reliable network is essential for the remote control and monitoring of mobile robotic devices. The QGeo can be executed in a distributed manner without global information.

  • To improve the packet delivery ration.

  • To reduce the network overheadĀ .

+ Aim & Objectives
  • To improve the packet delivery ration.

  • To reduce the network overheadĀ .

  • A technique is contributed to further achieves the QGeo reliable transmission with low network overhead.

+ Contribution
  • A technique is contributed to further achieves the QGeo reliable transmission with low network overhead.

  • Operating System : Ubuntu 12.04 LTS 64bit.

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

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

  • Simulator: NS 2.35, 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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