An end-to-end sensor scheduling method based on D3QN for underwater passive tracking in UWSNs

Zheng, Linyao; Liu, Meiqin; Zhang, Senlin

doi:10.1016/j.jnca.2023.103730

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An end-to-end sensor scheduling method based on D3QN for underwater passive tracking in UWSNs

Cited by 3 publications

References 27 publications

End-to-end multi-sensor fusion method based on deep reinforcement learning in UASNs

End-to-end multi-sensor fusion method based on deep reinforcement learning in UASNs

Distributed Target Tracking With Fading Channels Over Underwater Acoustic Sensor Networks

End-to-End Mobility Management in Underwater High Speed Communication Networks

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