is calculated as follows, E u a v = E t r a v e l + E c o l l e c t i n g + E c h a r g i n g
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In this review, we create the technique design more to incorporate both of those data collection from sensors and recharging them though thinking about UAV energy constraints, the sensors’ residual Strength and deadline constraints, and impediment avoidance through the UAV. Offered the elevated constraints over the proposed process, we originally centered on only one UAV, and designed a Deep Q-Network (DQN)-dependent UAV detour algorithm to locate a in the vicinity of-best Answer, evaluating the functionality with algorithm variants throughout distinct simulation eventualities and obtaining outstanding success.
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