The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring
Abstract
The paper proposes an environmental monitoring framework based on a wireless sensor network technology characterized by energy harvesting, robustness with respect to a large class of perturbations and real-time adaptation to the network topology. The fully designed and developed ad hoc system, based on clusters relying on a star topology, encompasses a sensing activity, a one-step local transmission from sensor nodes to the gateway, a remote data transmission from the gateway to the control center, data storage in a DB and real-time visualization. Hw and Sw modules have been either carefully selected or designed to guarantee a high quality of service, optimal solar energy harvesting, storage and energy awareness. A monitoring system integrating the outlined framework has been deployed in Queensland, Australia, for monitoring the underwater luminosity and temperature, information necessary to derive the health status of the coralline barrier. At the same time, acquired data can be used to provide quantitative indications related to cyclone formations in tropical areas.
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Cites
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Wireless sensor networks for habitat monitoring
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Instrumenting the world with wireless sensor networks
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Hardware design experiences in ZebraNet
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Transforming Agriculture through Pervasive Wireless Sensor Networks
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Models and solution techniques for frequency assignment problems
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Cited by
Underwater optical wireless communications, networking, and localization: A survey
Saeed, N., Celik, A., Al-Naffouri, T. Y., & Alouini, M.-S. (2019) · Ad Hoc Networks · doi:10.1016/j.adhoc.2019.101935 · Cited by 560
Applications of Wireless Sensor Networks in Marine Environment Monitoring: A Survey
Xu, G., Shen, W., & Wang, X. (2014) · Sensors · doi:10.3390/s140916932 · Cited by 408
Internet of Things in Marine Environment Monitoring: A Review
Xu, G., Shi, Y., Sun, X., & Shen, W. (2019) · Sensors · doi:10.3390/s19071711 · Cited by 267
Recent Trends in Underwater Visible Light Communication (UVLC) Systems
Ali, M. F., Jayakody, D. N. K., & Li, Y. (2022) · IEEE Access · doi:10.1109/access.2022.3150093 · Cited by 258
A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics
Ghandar, A., Ahmed, A., Zulfiqar, S., Hua, Z., Hanai, M., & Theodoropoulos, G. (2021) · IEEE Access · doi:10.1109/access.2021.3061722 · Cited by 182
Metadata
- Authors
- Alippi, C., Camplani, R., Galperti, C., & Roveri, M.
- Venue
- IEEE Sensors Journal
- Published
- 2011-01
- Volume
- 11
- Issue
- 1
- Pages
- 45-55
- ISSN
- 1530-437X (ISSN-L)
- OpenAlex
- W2015035939
- Cited by
- 268
- References
- 11
- FWCI
- 22.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring. https://app.cochat.ai/papers/10.1109/jsen.2010.2051539
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- Alippi, C., Camplani, R., Galperti, C., & Roveri, M. (2011). A Robust, Adaptive, Solar-Powered WSN Framework for Aquatic Environmental Monitoring. IEEE Sensors Journal. https://doi.org/10.1109/jsen.2010.2051539
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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).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
