InWaterSense
Autor: | Arianit Kurti, Astrit Salihu, Figene Ahmedi, Sylë Tahirsylaj, Besmir Sejdiu, Brendan O'Flynn, Eliot Bytyçi, Lule Ahmedi |
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Rok vydání: | 2018 |
Předmět: |
Computer science
business.industry 010401 analytical chemistry Real-time computing Environmental engineering Sampling (statistics) 010501 environmental sciences 01 natural sciences Popularity 0104 chemical sciences Surface water quality Wireless business Wireless sensor network 0105 earth and related environmental sciences Information Systems |
Zdroj: | International Journal of Agricultural and Environmental Information Systems. 9:39-61 |
ISSN: | 1947-3206 1947-3192 |
Popis: | A shift in water monitoring approach from traditional grab sampling to novel wireless sensors is gaining in popularity not only among researchers but also in the market. These latest technologies readily enable numerous advantageous monitoring arrangements like remote, continuous, real-time, and spatially-dense and broad in coverage measurements, and identification of long-term trends of parameters of interest. Thus, a WSN system is implemented in a river in Kosovo as part of the InWaterSense project to monitor its water quality parameters. It is one of the first state of the art technology demonstration systems of its kind in the domain of water monitoring in developing countries like Kosovo. Water quality datasets are transmitted at pre-programmed intervals from sensing stations deployed in the river to the server at university via the GPRS network. Data is then made available through a portal to different target groups (policy-makers, water experts, and citizens). Moreover, the InWaterSense system behaves intelligently like staying in line with water quality regulatory standards. |
Databáze: | OpenAIRE |
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