Novel multiple access protocols against Q-learning-based tunnel monitoring using flying ad hoc networks

Some protocols operated in the MAC layer and the open-source interconnections model to share the packet delivery and the network channel to deliver the packet is done. Transmitting two or more messages through one channel causes problems in packing and information delivery. This causes the lagging of the data to reach the destinations. So, the method of multiple hubs and the host must be created for the packet and the information delivery. This makes the fast transmission of data and messages. Method: The Tunnel monitoring system and the FANET are used for analysis in this study for the research, enabling the mobile radio networks for the examination. The FANET-based flying network system allows the paradigm for accessing human analysis. Then the drone-related data can be helped. The tunnel monitoring system navigates the information purpose and routing of the drone flying and gathering the data. Then based on human analysis, 40% of the data can be analyzed using the system's formation. Result: These results support the coverage and the tunnel monitoring process for detecting the navigation system. Conclusion: Also, some tunnel-based detection using drones is found in this study based on the wireless muometric navigation system that can be enabled using Q-learning.