This project involved the design and implementation of a robust routing protocol specifically tailored for **UAV ad-hoc wireless networks**.

Technical Implementation

• 01
  Reinforcement Learning:

  Utilized **Q-learning** to enable dynamic path discovery and optimization within the network.

• 02
  Simulation:

  The protocol was developed and rigorously tested within a dedicated **Drone simulator** environment to mimic real-world flight dynamics and signal constraints.