Determine ten reveals the education curve of the proposed DQN-based UAV detouring algorithm when you will discover 30 sensors and 6 obstructions. We can easily see which the rewards little by little increased from the start as the volume of coaching episodes greater. The overall reward grows significantly following the 4000th episode with the 7000 in total. This happens because the agent uses likelihood to randomly examine new positions to start with, which could not produce the best benefits.
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is the time essential for the UAV to create a person spherical trip, that's the sum of your touring situations and communication occasions (data collection and sensor recharging) represented by, τ = ∑ i ∈ V ∑ j ∈ V , i ≠ j ( D i j v u a v + C i ) x i j
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