Deep learning-based hybrid dynamic biased track (DL-HDBT) routing for under water acoustic sensor networks-Reference-Cited by-同舟云学术

Deep learning-based hybrid dynamic biased track (DL-HDBT) routing for under water acoustic sensor networks

Published:2020-06-17 Issue:1 Volume:12 Page:1211-1225
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Hemavathy N.^ORCID,Indumathi P.

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-020-02165-x.pdf

Reference30 articles.

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3. Arifur Rahman MD, Lee YD et al (2017) EECOR: an energy-efficient cooperative opportunistic routing protocol for underwater acoustic sensor networks. IEEE Access 5(2):14119–14132

4. Ayyadurai M, Selvakumar Raja S (2020) Optimisation of data reliability in UASN using adaptive Buffalo algorithm. J Ambient Intell Humaniz Comput

5. Chen Y, Jin X et al (2018) Selective dynamic coded cooperative communications for multi-hop underwater acoustic sensor networks. IEEE Access 7:70552–70563

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