DocumentCode
189383
Title
Low cost wireless sensor network for salinity monitoring in mangrove forests
Author
Parra, Lorena ; Sendra, Sandra ; Lloret, Jaime ; Rodrigues, Joel J. P. C.
Author_Institution
Inst. de Investig. para la gestion Integrada de zonas Costeras, Univ. Politec. de Valencia, Valencia, Spain
fYear
2014
fDate
2-5 Nov. 2014
Firstpage
126
Lastpage
129
Abstract
Mangrove forests play an important role in fragile environments for coastal protecting, water quality and sediment filters. They provide habitat for birds, reptiles or fish. In last 25 years, this area has been severely depleted by the conversion to agricultural crops, aquaculture and pollution. The increased use of fertilizer and long periods of high salinity levels has considerably reduced the population of mangroves. Thus, this paper proposes the development of a low cost wireless salinity sensor network to control floodgates of fresh water from lakes and reservoirs which reach the mangrove area. The system consists of a set of programmable nodes able to communicate with the control gate system. These nodes send the water characteristics to the systems that open the floodgates of fresh water. The system helps us to control and get lower salinity levels and avoid the water logging. Having low cost sensors will facilitate the deployment of wireless sensor networks.
Keywords
oceanographic equipment; oceanographic techniques; salinity (geophysical); sediments; wireless sensor networks; agricultural crops; control gate system; fragile environments; fresh water control floodgates; high salinity levels; low cost wireless sensor network; mangrove forests; mangrove population; programmable nodes; salinity monitoring; sediment filters; water characteristics; water logging; water quality; Band-pass filters; Coils; Conductivity; Pulse width modulation; Transducers; Wireless communication; Wireless sensor networks; Low cost salinity sensor; electronic deployment; mangrove forest; wireless sensor network (WSN);
fLanguage
English
Publisher
ieee
Conference_Titel
SENSORS, 2014 IEEE
Conference_Location
Valencia
Type
conf
DOI
10.1109/ICSENS.2014.6984949
Filename
6984949
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