Existing hydrological monitoring systems suffer from short- comings in accuracy, resolution, and scalability. Their fragility, high power consumption, and lack of autonomy necessitate frequent site visits. Cabling requirements and large size limit their scalability and make them prohibitively expensive. The research described in this paper proposes to alleviate these problems by pairing high-resolution in situ measure- ment with remote data collection and software maintenance. A hybrid sensor network composed of wired and wireless connections autonomously measures various attributes of the soil, including moisture, temperature, and resistivity. The mea- surements are communicated to a processing server over the existing GSM cellular infrastructure. This system enables the collection of data at a scale and resolution that is orders of magnitude greater than any existing method, while dramatically reducing the cost of monitoring. The quality and sheer volume of data collected as a result will enable previously infeasible research in hydrology.
T. V. Freiberger et al., "Hydrological Monitoring with Hybrid Sensor Networks," Proceedings of the International Conference on Sensor Technologies and Applications (2007, Valencia, Spain), pp. 484 - 489, Institute of Electrical and Electronics Engineers (IEEE), Oct 2007.
The definitive version is available at https://doi.org/10.1109/SENSORCOMM.2007.4394967
International Conference on Sensor Technologies and Applications (2007: Oct. 14-20, Valencia, Spain)
Electrical and Computer Engineering
Geosciences and Geological and Petroleum Engineering
Keywords and Phrases
GSM Cellular Infrastructure; Cellular Radio; Geophysics Computing; High-Resolution In Situ Measurement; Hydrological Techniques; Remote Data Collection; Software Maintenance; (p, p, t) Measurements; Cellular Infrastructure; Data Collected; Existing Method; High Power Consumption; High Resolutions; Hybrid Sensor Networks; In-Situ Measurements; International Conferences; Large Sizes; Monitoring Systems; Orders-of-Magnitude; Remote Data; Sensor Technologies; Short-Comings; Site Visits; Wireless Connections; Data Storage Equipment; Detectors; Earth Sciences; Hybrid Sensors; Monitoring; Research; Scalability; Sensors; Water; Wireless Sensor Networks; Sensor Networks
International Standard Book Number (ISBN)
Article - Conference proceedings
© 2007 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Oct 2007