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dc.contributor.author | Garrido-Momparler, Víctor | es_ES |
dc.contributor.author | Peris Tortajada, Miguel | es_ES |
dc.date.accessioned | 2022-11-29T19:02:40Z | |
dc.date.available | 2022-11-29T19:02:40Z | |
dc.date.issued | 2022-09 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/190341 | |
dc.description.abstract | [EN] The growing social awareness and consequent concern for the environment has driven environmental analytical chemistry to a position of great prominence. In recent times, this position has translated into taking advantage of the great benefits provided by cloud computing and the Internet of Things (IoT), which are especially appropriate when devices such as chemical sensors are used. The use of such sensors is very common when in situ monitoring of environmental parameters is performed, but until recently, it was limited to the deployment of a small number of sensors. Currently, this approach has given way to genuine smart sensing systems (for instance, fully consolidated wireless sensor networks) that are able to provide a substantial amount of information. This type of sensor (the so-called smart sensor) is fundamentally characterized by (a) low consumption, versatility, and autonomy, (b) ease of integration with cloud solutions, (c) durability and reliability of IoT platforms and sensors, and (d) easy installation and deployment of sensor nodes. For all these reasons, and given the increasing importance and use of this type of device, a revision of the recent literature relating the development of smart sensors with environmental issues has been conducted, with major contributions being discussed, most notably those addressing the continuous in-line monitoring of water quality. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Trends in Environmental Analytical Chemistry | es_ES |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Environmental analytical chemistry | es_ES |
dc.subject | Smart sensors | es_ES |
dc.subject | Water quality monitoring | es_ES |
dc.subject | Advanced sensing systems | es_ES |
dc.subject | IoT | es_ES |
dc.subject | Cloud services | es_ES |
dc.subject.classification | QUIMICA ANALITICA | es_ES |
dc.title | Smart sensors in environmental/water quality monitoring using IoT and cloud services | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.teac.2022.e00173 | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural - Escola Tècnica Superior d'Enginyeria Agronòmica i del Medi Natural | es_ES |
dc.description.bibliographicCitation | Garrido-Momparler, V.; Peris Tortajada, M. (2022). Smart sensors in environmental/water quality monitoring using IoT and cloud services. Trends in Environmental Analytical Chemistry. 35:1-7. https://doi.org/10.1016/j.teac.2022.e00173 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.1016/j.teac.2022.e00173 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 7 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 35 | es_ES |
dc.identifier.eissn | 2214-1588 | es_ES |
dc.relation.pasarela | S\472576 | es_ES |