dc.contributorUniversidad de Chile
dc.contributorUniversidad Politécnica de Madrid
dc.contributorWroclaw University of Technology
dc.contributorCatholic University of Bolivia
dc.date.accessioned2017-05-08T21:06:41Z
dc.date.accessioned2018-06-14T00:49:40Z
dc.date.available2017-05-08T21:06:41Z
dc.date.available2018-06-14T00:49:40Z
dc.date.created2017-05-08T21:06:41Z
dc.date.issued2013
dc.identifierhttp://hdl.handle.net/10533/198263
dc.identifier14STIC-05
dc.identifierM
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1574140
dc.description.abstractThe MOSAIC project has the following collaborative goals: - To integrate research efforts of both the French and South American partners in order to define an offload-based collaborative systems. - To foster the exchange of ideas, researchers, students, and research results and federate new collaborations. The MOSAIC project has the following scientific goals: - To design a network symbiosis between mobile crowd sensing infrastructures and traditional networking infrastructures and services. - To efficiently sense, collect and disseminate the increasing amount of mobile data and defining offload decisions. - To design an efficient monitoring architecture for the QoS and QoE of our collaborative systems. - To design and implement an emulated crowd sensing network to illustrate the relevancy, efficiency and scalability of our mechanisms. - To consider new relevant and innovative business models in the different 2 contexts (France/South-America) for the tackled challenges.The MOSAIC project has the following collaborative goals: - To integrate research efforts of both the French and South American partners in order to define an offload-based collaborative systems. - To foster the exchange of ideas, researchers, students, and research results and federate new collaborations. The MOSAIC project has the following scientific goals: - To design a network symbiosis between mobile crowd sensing infrastructures and traditional networking infrastructures and services. - To efficiently sense, collect and disseminate the increasing amount of mobile data and defining offload decisions. - To design an efficient monitoring architecture for the QoS and QoE of our collaborative systems. - To design and implement an emulated crowd sensing network to illustrate the relevancy, efficiency and scalability of our mechanisms. - To consider new relevant and innovative business models in the different 2 contexts (France/South-America) for the tackled challenges.
dc.languagespa
dc.relationhandle/10533/198239
dc.relationhandle/10533/198084
dc.relationhandle/10533/108039
dc.rightsinfo:eu-repo/semantics/openAcces
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Chile
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
dc.titleMobile Crowd Sensing and data Offloading in Collaborative Networks
dc.typeProyecto


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