Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks-Reference-Cited by-同舟云学术

Deep Reinforcement Learning Based MAC Protocol for Underwater Acoustic Networks

Published:2019-10-23 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the International Conference on Underwater Networks & Systems
language:
Short-container-title:

Author:

Ye Xiaowen¹,Fu Liqun¹

Affiliation:

1. School of Informatics and the Key Laboratory of Underwater Acoustic Communication and Marine Information Technology of Ministry of Education, Xiamen University, Xiamen, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3366486.3366526

Reference15 articles.

1. Ian F Akyildiz Dario Pompili and Tommaso Melodia. 2005. Underwater acoustic sensor networks: research challenges. Ad hoc networks 3 3 (2005) 257--279. Ian F Akyildiz Dario Pompili and Tommaso Melodia. 2005. Underwater acoustic sensor networks: research challenges. Ad hoc networks 3 3 (2005) 257--279.

2. Ian Goodfellow Yoshua Bengio and Aaron Courville. 2016. Deep learning. MIT press. Ian Goodfellow Yoshua Bengio and Aaron Courville. 2016. Deep learning. MIT press.

3. Design of a Propagation-Delay-Tolerant MAC Protocol for Underwater Acoustic Sensor Networks

4. Simulation and Experimentation Platforms for Underwater Acoustic Sensor Networks

5. Research on Localization Algorithms Based on Acoustic Communication for Underwater Sensor Networks

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