The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The challenges of building scalable mobile underwater wireless sensor networks for aquatic applications
Abstract
The large-scale mobile underwater wireless sensor network (UWSN) is a novel networking paradigm to explore aqueous environments. However, the characteristics of mobile UWSNs, such as low communication bandwidth, large propagation delay, floating node mobility, and high error probability, are significantly different from ground-based wireless sensor networks. The novel networking paradigm poses interdisciplinary challenges that will require new technological solutions. In particular, in this article we adopt a top-down approach to explore the research challenges in mobile UWSN design. Along the layered protocol stack, we proceed roughly from the top application layer to the bottom physical layer. At each layer, a set of new design intricacies is studied. The conclusion is that building scalable mobile UWSNs is a challenge that must be answered by interdisciplinary efforts of acoustic communications, signal processing, and mobile acoustic network protocol design.
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Cites
A delay-tolerant network architecture for challenged internets
Fall, K. (2003) · Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications · doi:10.1145/863955.863960 · Cited by 3,082
Broecker, W. S., & Peng, T. (1982) · Medical Entomology and Zoology · Cited by 2,097
A delay-tolerant network architecture for challenged internets
Fall, K. (2003) · Proceedings of the 2003 conference on Applications, technologies, architectures, and protocols for computer communications - SIGCOMM '03 · doi:10.1145/863956.863960 · Cited by 1,288
Sozer, E. M., Stojanovic, M., & Proakis, J. G. (2000) · IEEE Journal of Oceanic Engineering · doi:10.1109/48.820738 · Cited by 1,104
The state of the art in underwater acoustic telemetry
Kilfoyle, D. B., & Baggeroer, A. B. (2000) · IEEE Journal of Oceanic Engineering · doi:10.1109/48.820733 · Cited by 1,073
CODA: congestion detection and avoidance in sensor networks
Wan, C.-Y., Eisenman, S. B., & Campbell, A. T. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958523 · Cited by 895
The WHOI micro-modem: an acoustic communications and navigation system for multiple platforms
Freitag, L., Grund, M., Singh, S., Partan, J., Koski, P., & Ball, K. (2005) · Proceedings of OCEANS 2005 MTS/IEEE · doi:10.1109/oceans.2005.1639901 · Cited by 534
Retrofocusing techniques for high rate acoustic communications
Stojanovic, M. (2005) · The Journal of the Acoustical Society of America · doi:10.1121/1.1856411 · Cited by 114
Cited by
Internet of Underwater Things and Big Marine Data Analytics—A Comprehensive Survey
Jahanbakht, M., Xiang, W., Hanzo, L., & Rahimi Azghadi, M. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2021.3053118 · Cited by 425
A survey of practical issues in underwater networks
Partan, J., Kurose, J., & Levine, B. N. (2007) · ACM SIGMOBILE Mobile Computing and Communications Review · doi:10.1145/1347364.1347372 · Cited by 414
Hu, T., & Fei, Y. (2010) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2010.28 · Cited by 405
An overview of the internet of underwater things
Domingo, M. C. (2012) · Journal of Network and Computer Applications · doi:10.1016/j.jnca.2012.07.012 · Cited by 397
A Survey of Routing Protocols for Underwater Wireless Sensor Networks
Luo, J., Chen, Y., Wu, M., & Yang, Y. (2021) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3048190 · Cited by 299
Metadata
- Authors
- Cui, J.-H., Kong, J., Gerla, M., & Zhou, S.
- Venue
- IEEE Network
- Published
- 2006-05
- Volume
- 20
- Issue
- 3
- Pages
- 12-18
- ISSN
- 0890-8044 (ISSN-L)
- OpenAlex
- W1604225584
- Cited by
- 783
- References
- 8
- FWCI
- 94.62
- Type
- journal article
- Language
- en
- Open access
- closed
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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