Simulation target tracking by using GNN process and multi-agent RL in omnet++ -- 2

o We plan to implement the Graph neural networks (GNNs) process for trajectory prediction procedure in OMNET++.
o We plan to extend the implementation of multi-agent reinforcement learning (RL) network for sensor scheduling during target tracking in OMNET++.
o The UAVs cooperate with each other in order to learn how to share their sensory data and act as the scout for each other.
o Utilizing a multi-agent RL network makes possible for the UAVs to communicate and share their capabilities and learn from one another in OMNET++.