InWaterSense: An Intelligent Wireless Sensor Network for Monitoring Surface Water Quality to a River in Kosovo

Figene Ahmedi, Lule Ahmedi, Brendan O'Flynn, Arianit Kurti, Sylë Tahirsylaj, Eliot Bytyçi, Besmir Sejdiu and Astrit Salihu
Additional contact information
Figene Ahmedi: Faculty of Civil Engineering and Architecture, University of Prishtina, Prishtina, Kosovo
Lule Ahmedi: Faculty of Electrical and Computer Engineering, University of Prishtina, Prishtina, Kosovo
Brendan O'Flynn: Tyndall National Institute, Cork, Ireland and Clarity Centre for Sensor Web Technologies, University College Cork, Cork, Ireland
Arianit Kurti: Department of Computer Science, Linnaeus University, Växjö, Sweden
Sylë Tahirsylaj: Hydrometeorological Institute of Kosova, Prishtina, Kosovo
Eliot Bytyçi: Department of Computer Engineering, University of Prishtina, Prishtina, Kosovo
Besmir Sejdiu: Department of Computer Engineering, University of Prishtina, Prishtina, Kosovo
Astrit Salihu: University of Prishtina, Prishtina, Kosovo

International Journal of Agricultural and Environmental Information Systems (IJAEIS), 2018, vol. 9, issue 1, 39-61

Abstract: 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.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJAEIS.2018010103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaeis0:v:9:y:2018:i:1:p:39-61

Access Statistics for this article

International Journal of Agricultural and Environmental Information Systems (IJAEIS) is currently edited by Frederic Andres

More articles in International Journal of Agricultural and Environmental Information Systems (IJAEIS) from IGI Global
Bibliographic data for series maintained by Journal Editor ().