| dc.contributor | SAUL EDUARDO POMARES HERNANDEZ | |
| dc.creator | JOSE ROBERTO PEREZ CRUZ | |
| dc.date | 2014-05 | |
| dc.date.accessioned | 2023-07-25T16:20:59Z | |
| dc.date.available | 2023-07-25T16:20:59Z | |
| dc.identifier | http://inaoe.repositorioinstitucional.mx/jspui/handle/1009/151 | |
| dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/7805373 | |
| dc.description | New applications based on wireless sensor networks (WSN), harvest a large
amount of data streams that are simultaneously generated by multiple distributed
sources. Specifically, in a WSN this paradigm of data generation/transmission is
known as event-streaming. In order to be useful, all the collected data must be
aligned so that it can be fused at a later phase. To perform such alignment,
the sensors need to agree on common temporal references. Unfortunately, this
agreement is difficult to achieve mainly due to the lack of perfectly-synchronized
physical clocks and the asynchronous nature of the execution. Some solutions
tackle the issue of the temporal alignment; however, they demand extra resources
to the network deployment since they try to impose global references by using
a centralized scheme. In this dissertation, we propose a distributed mechanism
that performs at runtime the stream data alignment without requiring the use of
synchronized clocks, additional signals or centralized schemes. This is achieved
by translating temporal dependencies based on a time-line to causal dependencies
among streams. In addition, we propose a spatio-temporal data association approach
that extends the data alignment mechanism to include spatial information
to perform the data alignment by considering the “closeness ” among streams. To
achieve this, the approach makes use of a fuzzy-causal relation defined to relate
the space domain with the logical/temporal domain. For our case by establishing
a fuzzy-causal relation we determine “how long ago” an event happened before
another event. | |
| dc.format | application/pdf | |
| dc.language | eng | |
| dc.publisher | Instituto Nacional de Astrofísica, Óptica y Electrónica | |
| dc.relation | citation:Perez-Cruz J.R. | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | http://creativecommons.org/licenses/by-nc-nd/4.0 | |
| dc.subject | info:eu-repo/classification/Causalidad/Causality | |
| dc.subject | info:eu-repo/classification/Asociación de datos/Data association | |
| dc.subject | info:eu-repo/classification/Comunicación de datos/Data communication | |
| dc.subject | info:eu-repo/classification/Sistemas difusos/Fuzzy systems | |
| dc.subject | info:eu-repo/classification/Fusión de sensores/Sensor fusion | |
| dc.subject | info:eu-repo/classification/Sensor de redes inalámbricas/Wireless sensor networks | |
| dc.subject | info:eu-repo/classification/cti/1 | |
| dc.subject | info:eu-repo/classification/cti/12 | |
| dc.subject | info:eu-repo/classification/cti/1203 | |
| dc.subject | info:eu-repo/classification/cti/1203 | |
| dc.title | Data alignment and association mechanism for multimedia data fusion in distributed sensor networks | |
| dc.type | info:eu-repo/semantics/doctoralThesis | |
| dc.type | info:eu-repo/semantics/acceptedVersion | |
| dc.audience | students | |
| dc.audience | researchers | |
| dc.audience | generalPublic | |
