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Abstract: In this work, we address the optimization problem of covering a set of mobile sensors with a fleet of flying devices.
Jul 27, 2018 · Abstract—In this work, we address the optimization problem of covering a set of mobile sensors with a fleet of flying devices.
An effective optimization model reducing the number of variables of the problem and solved using column generation is proposed and is tractable for large ...
Abstract: In this work, we address the optimization problem of covering a set of mobile sensors with a fleet of flying devices.
The goal of this paper is to provide optimization-based models and frameworks determining bounds on the optimal. UAVs deployment for mobile sensor coverage.
Jul 3, 2018 · Autonomous flying devices providing services to targets on the ground. Air-to-ground and air-to-air communications.
In this research, we present a comprehensive study on optimizing UAV trajectory generation using Deep Neural Networks (DNNs) with the Adam optimization ...
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Oct 22, 2024 · Hence, deep learning trained by genetic algorithm (DL-GA) is proposed as path planning method for mobile sensors and UAVs in this paper.
Oct 27, 2023 · In this paper, we focus on the scheduling of beaconing periods as an efficient means of energy consumption optimization.
This paper proposes a simultaneous sweep mode and a batch sweep mode of Unmanned Aerial Vehicle (UAV) swarm to achieve sweep coverage in WSNs.