Main Reference PaperAGRA: AI-augmented Geographic Routing Approach for IoT-based Incident-Supporting Applications, ELSEVIER, Future Generation Computer Systems, 2019 [Java]
  • A novel Artificial Intelligent (AI)-augmented geographic routing approach is proposed, that relies on an area knowledge obtained from the satellite imagery by applying deep learning. In particular, propose a stateless greedy forwarding that uses such an environment learning to proactively avoid the local minimum problem by diverting traffic with an algorithm that emulates electrostatic repulsive forces.

+ Description
  • A novel Artificial Intelligent (AI)-augmented geographic routing approach is proposed, that relies on an area knowledge obtained from the satellite imagery by applying deep learning. In particular, propose a stateless greedy forwarding that uses such an environment learning to proactively avoid the local minimum problem by diverting traffic with an algorithm that emulates electrostatic repulsive forces.

  • To balance the network load and reduce the overhead

  • To improve the overall network utilization

+ Aim & Objectives
  • To balance the network load and reduce the overhead

  • To improve the overall network utilization

  • A contributed technique is to apply our Greens function-based approach to other known problems in wireless networking.

+ Contribution
  • A contributed technique is to apply our Greens function-based approach to other known problems in wireless networking.

  • Operating System : Ubuntu 12.04 LTS 64bit

  • Simulator: Cooja, Instant Contiki-3.0 and Vmware Player 12.5.6

  • Language: C

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

  • Simulator: Cooja, Instant Contiki-3.0 and Vmware Player 12.5.6

  • Language: 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-project delivery Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-project delivery 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.

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