An Efficient Connected Swarm Deployment via Deep Learning

2021 16th Conference on Computer Science and Intelligence Systems (FedCSIS)(2021)

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摘要
In this paper, an unmanned aerial vehicles (UAVs) deployment framework based on machine learning is studied. It aims to maximize the sum of the weights of the ground users covered by UAVs while UAVs forming a connected communication graph. We focus on the case where the number of UAVs is not necessarily enough to cover all ground users.We develop an UAV Deployment Deep Neural network (UD-DNNet) as...
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关键词
Deep learning,Computer science,Simulation,Unmanned aerial vehicles,Real-time systems,Task analysis,Optimization
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