How does Q-Learning optimize routing for Optical camera communication?
Q-Learning is a reinforcement learning algorithm that can be used to optimize routing for Optical camera communication systems. By training the algorithm to make decisions based on rewards and penalties, the system can learn the most efficient routes for transmitting data through the network of cameras. This optimization can help minimize delays, reduce energy consumption, and improve overall performance of the communication system. By using Q-Learning, the system can adapt to changing network conditions and continually improve its routing decisions over time.
This mind map was published on 5 November 2024 and has been viewed 2 times.
