The DOI matches its Crossref record.
Data collection, storage, and retrieval with an underwater sensor network
Abstract
In this paper we present a novel platform for underwater sensor networks to be used for long-term monitoring of coral reefs and fisheries. The sensor network consists of static and mobile underwater sensor nodes. The nodes communicate point-to-point using a novel high-speed optical communication system integrated into the TinyOS stack, and they broadcast using an acoustic protocol integrated in the TinyOS stack. The nodes have a variety of sensing capabilities, including cameras, water temperature, and pressure. The mobile nodes can locate and hover above the static nodes for data muling, and they can perform network maintenance functions such as deployment, relocation, and recovery. In this paper we describe the hardware and software architecture of this underwater sensor network. We then describe the optical and acoustic networking protocols and present experimental networking and data collected in a pool, in rivers, and in the ocean. Finally, we describe our experiments with mobility for data muling in this network.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Energy conservation in wireless sensor networks: A survey
Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009) · Ad Hoc Networks · doi:10.1016/j.adhoc.2008.06.003 · Cited by 2,583
Underwater Optical Wireless Communication
Kaushal, H., & Kaddoum, G. (2016) · IEEE Access · doi:10.1109/access.2016.2552538 · Cited by 1,428
A Survey of Underwater Optical Wireless Communications
Zeng, Z., Fu, S., Zhang, H., Dong, Y., & Cheng, J. (2017) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2016.2618841 · Cited by 1,287
Robots for Environmental Monitoring: Significant Advancements and Applications
Dunbabin, M., & Marques, L. (2012) · IEEE Robotics & Automation Magazine · doi:10.1109/mra.2011.2181683 · Cited by 728
Self-citationCoverage and connectivity issues in wireless sensor networks: A survey
Ghosh, A., & Das, S. K. (2008) · Pervasive and Mobile Computing · doi:10.1016/j.pmcj.2008.02.001 · Cited by 530
Metadata
- Authors
- Vasilescu, I., Kotay, K., Rus, D., Dunbabin, M., & Corke, P.
- Venue
- Proceedings of the 3rd international conference on Embedded networked sensor systems
- Publisher
- ACM
- Published
- 2005-11-02
- Pages
- 154-165
- OpenAlex
- W2143742289
- Cited by
- 625
- References
- 0
- FWCI
- 85.32
- Type
- conference paper
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Data collection, storage, and retrieval with an underwater sensor network. https://app.cochat.ai/papers/10.1145/1098918.1098936
- The paper
- Vasilescu, I., Kotay, K., Rus, D., Dunbabin, M., & Corke, P. (2005). Data collection, storage, and retrieval with an underwater sensor network. Proceedings of the 3rd international conference on Embedded networked sensor systems. https://doi.org/10.1145/1098918.1098936
Data sources
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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.