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Data alignment for data fusion in wireless multimedia sensor networks based on M2M | |
JOSE ROBERTO PEREZ CRUZ SAUL EDUARDO POMARES HERNANDEZ JOSE ENRIQUE MUÑOZ DE COTE FLORES LUNA | |
Acceso Abierto | |
Atribución-NoComercial-SinDerivadas | |
Data alignment Data fusion In-network processing Wireless sensor networks | |
Advances 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. | |
KSII Transaction on Internet and Information Systems | |
2012 | |
Artículo | |
Inglés | |
Estudiantes Investigadores Público en general | |
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 | |
CIENCIA DE LOS ORDENADORES | |
Versión aceptada | |
acceptedVersion - Versión aceptada | |
Aparece en las colecciones: | Artículos de Ciencias Computacionales |
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