Detailed Notes on UAV Data Collection Bangladesh
Detailed Notes on UAV Data Collection Bangladesh
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In this particular study, we dealt with a dual issue (i.e., DOCEM of data collection and recharging of WSN sensor nodes) when making use of an unmanned aerial vehicle. We regarded the UAV’s flight route as it detoured about road blocks within a constrained surroundings. Constraints on the UAV have been on arrival deadlines and energy intake; constraints about the sensors were on deadlines and residual Electrical power, which was formulated being an integer linear programming issue. To handle this, we utilized a deep Q-community (DQN)-based UAV detour algorithm plus a reinforcement Discovering method of obtain close to-optimum solutions in a reasonable timeframe with least full Electrical power use of the UAV.
For Every single episode, the algorithm sets the First state and iterates Each and every stage, where the UAV’s present-day point out is updated, and an motion is preferred depending on a plan like the ϵ
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To include the hurdles into the problem formulation, the sensor–obstacle relationship matrix R
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