Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/20.500.12421/2691
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dc.contributor.authorAsorey Cacheda, Rafael-
dc.contributor.authorGarcia Sanchez, Antonio Javier-
dc.contributor.authorZúñiga Cañón, Claudia-
dc.contributor.authorGarcia Haro, Joan-
dc.date.accessioned2020-02-10T01:03:00Z-
dc.date.available2020-02-10T01:03:00Z-
dc.date.issued2019-02-21-
dc.identifier.isbn978-303012803-6-
dc.identifier.issn18650929-
dc.identifier.urihttps://repository.usc.edu.co/handle/20.500.12421/2691-
dc.description.abstractThe deployment of wireless sensor networks in smart cities for environmental monitoring is a complex issue. One of the main problems is to determine the most appropriate places for these tasks. This paper proposes the use of information from crowdsourcing to identify places of interest from the environmental point of view to deploy the sensor network.es
dc.language.isoenes
dc.publisherSpringer Verlages
dc.subjectWireless sensor networkses
dc.subjectCrowdsourcinges
dc.subjectOptimizationes
dc.titleCrowdsourcing Optimized Wireless Sensor Network Deployment in Smart Cities: A Keynotees
dc.typeArticlees
Appears in Collections:Artículos Científicos

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