Data alignment for data fusion in wireless multimedia sensor networks based on M2M

dc.creatorJOSE ROBERTO PEREZ CRUZ
dc.creatorSAUL EDUARDO POMARES HERNANDEZ
dc.creatorJOSE ENRIQUE MUÑOZ DE COTE FLORES LUNA
dc.date2012
dc.date.accessioned2023-07-25T16:24:40Z
dc.date.available2023-07-25T16:24:40Z
dc.identifierhttp://inaoe.repositorioinstitucional.mx/jspui/handle/1009/1954
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7807145
dc.descriptionAdvances in MEMS and CMOS technologies have motivated the development of low cost/power sensors and wireless multimedia sensor networks (WMSN). The WMSNs were created to ubiquitously harvest multimedia content. Such networks have allowed researchers and engineers to glimpse at new Machine-to-Machine (M2M) Systems, such as remote monitoring of biosignals for telemedicine networks. These systems require the acquisition of a large number of data streams that are simultaneously generated by multiple distributed devices. This paradigm of data generation and transmission is known as event-streaming. In order to be useful to the application, the collected data requires a preprocessing called data fusion, which entails the temporal alignment task of multimedia data. A practical way to perform this task is in a centralized manner, assuming that the network nodes only function as collector entities. However, by following this scheme, a considerable amount of redundant information is transmitted to the central entity. To decrease such redundancy, data fusion must be performed in a collaborative way. In this paper, we propose a collaborative data alignment approach for event-streaming. Our approach identifies temporal relationships by translating temporal dependencies based on a timeline to causal dependencies of the media involved.
dc.formatapplication/pdf
dc.languageeng
dc.publisherKSII Transaction on Internet and Information Systems
dc.relationcitation:Perez-Cruz, J.R., et al., (2012). Data alignment for data fusion in wireless multimedia sensor networks based on M2M, KSII Transaction on Internet and Information Systems, Vol. 6 (1): 229-240
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0
dc.subjectinfo:eu-repo/classification/Data alignment/Data alignment
dc.subjectinfo:eu-repo/classification/Data fusion/Data fusion
dc.subjectinfo:eu-repo/classification/In-network processing/In-network processing
dc.subjectinfo:eu-repo/classification/Wireless sensor networks/Wireless sensor networks
dc.subjectinfo:eu-repo/classification/cti/1
dc.subjectinfo:eu-repo/classification/cti/12
dc.subjectinfo:eu-repo/classification/cti/1203
dc.subjectinfo:eu-repo/classification/cti/1203
dc.titleData alignment for data fusion in wireless multimedia sensor networks based on M2M
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/acceptedVersion
dc.audiencestudents
dc.audienceresearchers
dc.audiencegeneralPublic


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