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LoRa-based Network for Water Quality Monitoring in Coastal Areas

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LoRa-based Network for Water Quality Monitoring in Coastal Areas

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dc.contributor.author Sendra, Sandra es_ES
dc.contributor.author Parra-Boronat, Lorena es_ES
dc.contributor.author Jimenez, Jose M. es_ES
dc.contributor.author García-García, Laura es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.date.accessioned 2024-01-09T19:01:59Z
dc.date.available 2024-01-09T19:01:59Z
dc.date.issued 2023-02 es_ES
dc.identifier.uri http://hdl.handle.net/10251/201658
dc.description.abstract [EN] Agriculture Farming activity near to rivers and coastal areas sometimes imply spills of chemical and fertilizers products in aquifers and rivers. These spill highly affect the water quality in rivers' mouths and beaches close to those rivers. The presence of these elements can worse the quality for its normal use, even for its enjoying. When this polluted water reaches the sea can also have problematic consequences for fauna and flora. For this reason, it is important to rapidly detect where these spills are taking place and where the water does not have the minimum of quality to be used. In this article we propose the design and implementation of a LoRa (Long Range) based wireless sensor network for monitoring the quality of water in coastal areas, rivers and ditches with the aim to generate an observatory of water quality of the monitored areas. This network is composed by several wireless sensor nodes endowed with several sensors to physically measure parameters of water quality, such as turbidity, temperature, etc., and weather conditions such as temperature and relative humidity. The data collected by the sensors is sent to a gateway that forwards them to our storage database. The database is used to create an observatory that will permit the monitoring of the environment where the network is deployed. We test different devices to select the one that presents the best performance. Finally, the final solution is tested in a real environment for checking its correct operation. Two different tests will be carried out. The first test checks the correct operation of sensors and the network architecture while the second test show us the devices performance in terms of coverage. es_ES
dc.language Inglés es_ES
dc.publisher Springer-Verlag es_ES
dc.relation.ispartof Mobile Networks and Applications (Online) es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject The Things Network (TTN) es_ES
dc.subject Wireless Sensor Network (WSN) es_ES
dc.subject Long Range (LoRa) es_ES
dc.subject LoRaWAN es_ES
dc.subject Observatory es_ES
dc.subject Water quality es_ES
dc.subject Monitoring es_ES
dc.subject Sensors es_ES
dc.subject.classification INGENIERÍA TELEMÁTICA es_ES
dc.title LoRa-based Network for Water Quality Monitoring in Coastal Areas es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1007/s11036-022-01994-8 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Politécnica Superior de Gandia - Escola Politècnica Superior de Gandia es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation Sendra, S.; Parra-Boronat, L.; Jimenez, JM.; García-García, L.; Lloret, J. (2023). LoRa-based Network for Water Quality Monitoring in Coastal Areas. Mobile Networks and Applications (Online). 28(1):65-81. https://doi.org/10.1007/s11036-022-01994-8 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.1007/s11036-022-01994-8 es_ES
dc.description.upvformatpinicio 65 es_ES
dc.description.upvformatpfin 81 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 28 es_ES
dc.description.issue 1 es_ES
dc.identifier.eissn 1572-8153 es_ES
dc.relation.pasarela S\472746 es_ES
dc.contributor.funder Universitat Politècnica de València es_ES


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