Novel multiple access protocols against Q-learning-based tunnel monitoring using flying ad hoc networks-Reference-Cited by-同舟云学术

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Novel multiple access protocols against Q-learning-based tunnel monitoring using flying ad hoc networks

Published:2023-10-30 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Awaji Bakri Hossain,Kamruzzaman M. M.,Althuniabt Ahmad,Aqeel Ibrahim,Khormi Ibrahim Mohsen,Gopalsamy Mani,Allimuthu Udayakumar

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-023-03534-y.pdf

Reference39 articles.

1. Lansky, J., Rahmani, A. M., Malik, M. H., et al. (2023). An energy-aware routing method using the firefly algorithm for flying ad hoc networks. Science and Reports, 13, 1323. https://doi.org/10.1038/s41598-023-27567-7

2. Lansky, J., Rahmani, A. M., Zandavi, S. M., et al. (2022). A Q-learning-based routing scheme for smart air quality monitoring system using flying ad hoc networks. Science and Reports, 12, 20184. https://doi.org/10.1038/s41598-022-20353-x

3. Koelemeij, J. C. J., Dun, H., Diouf, C. E. V., et al. (2022). A hybrid optical–wireless network for decimetre-level terrestrial positioning. Nature, 611, 473–478. https://doi.org/10.1038/s41586-022-05315-7

4. Yuan, P., Wu, H., Zhao, X., et al. (2017). Percolation-theoretic bounds on the cache size of nodes in mobile opportunistic networks. Science and Reports, 7, 5662. https://doi.org/10.1038/s41598-017-05988-5

5. Chen, H., & Wu, C. (2021). Contact ability-based topology control for predictable delay-tolerant networks. Science and Reports, 11, 22566. https://doi.org/10.1038/s41598-021-01864-5

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