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Data Alignment for Data Fusion in Wireless Multimedia Sensor Networks Based on M2M
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  • Data Alignment for Data Fusion in Wireless Multimedia Sensor Networks Based on M2M
  • Data Alignment for Data Fusion in Wireless Multimedia Sensor Networks Based on M2M
저자명
Cruz. Jose Roberto Perez,Hernandez. Saul E. Pomares,Cote. Enrique Munoz De
간행물명
KSII Transactions on internet and information systems : TIIS
권/호정보
2012년|6권 1호|pp.229-240 (12 pages)
발행정보
한국인터넷정보학회
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정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

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.