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dc.date.accessioned 2020-09-17T13:13:46Z
dc.date.available 2020-09-17T13:13:46Z
dc.date.issued 2020
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/104840
dc.description.abstract This article presents a possible approach for the integration of wireless sensor networks with applied IoT (Internet of Things) platforms related to Fog Computing concepts. Several ideas are presented related to: a) definition of the main characteristics to be considered in the deployment of sensor networks, b) evaluation of alternatives for combining wireless communication technologies and, c) experimentation with different IoT platforms for local data preprocessing that will then optimize the data flow of information to the cloud. en
dc.format.extent 2-5 es
dc.language en es
dc.subject Sensor NetWork es
dc.subject LoRa es
dc.subject WiFi es
dc.subject WSN es
dc.title Integration of Sensor Networks with Cloud Computing en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-1927-4 es
sedici.creator.person Medina, Santiago es
sedici.creator.person Romero, Femando es
sedici.creator.person Tinetti, Femando G. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Instituto de Investigación en Informática es
mods.originInfo.place Instituto de Investigación en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2020-09
sedici.relation.event VIII Conference on Cloud Computing, Big Data & Emerging Topics (Modalidad virtual, 8 al 10 de septiembre de 2020) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/103585 es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/103585 es
sedici.relation.bookTitle Short Papers of the 8th Conference on Cloud Computing Conference, Big Data & Emerging Topics (JCC-BD&ET 2020) es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)