Document
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Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors
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type: Thing
type: Book
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type: Information Content Entity
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type: Generically Dependent Continuant
type: Proceedings
publication venue for: A data fusion scheme for tenet architecture

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RDF description of A data fusion scheme for tenet architecture - http://orbis.uaslp.mx/vivo/individual/scopus8760
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date: 2026-08-26T07:21:28
publisher: vivo
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Article
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Information Content Entity
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A data fusion scheme for tenet architecture
origen: scopus
crisid: 8761
date time value: conference paper date 8761
type: Document
estado: published
artnum: 4429986
page end: 183
type: Conference Paper
type: Information Content Entity
most specific type: Conference Paper
related by: authorship_62601
EI dscopus: 2-s2.0-49749147138
related by: authorship_62602
type: Generically Dependent Continuant
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related by: authorship_62599
type: Thing
type: Article
most specific type: Document
type: Continuant
has publication venue: Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors
page start: 179
abstract: Tenet architecture is a two-tier sensor network architecture that provides a model to implement more complex algorithms due to incorporation of less resource-restricted nodes. Stargate-class nodes called masters form the upper tier while resource-restricted nodes named motes compose the lower tier. This paper introduces a data fusion scheme for a tenet architecture based on the correlation coefficients between data set extracted from the motes. Each master selects four sentinels to calculate the direction in which an event has been detected, and then uses this data as a base data to calculate the correlation coefficient for the incoming data. The aggregate output is a result of a weighted sum of the data collected from the N sensors. The weights are calculated based on the correlation coefficients. The aggregated output is compared with a Linear Means Square (LMS) estimator based on variance. The proposed scheme achieves good performance. © 2006 IEEE.
related by: authorship_62600
doi: 10.1109/ASAP.2007.4429986
freetext keyword: Architecture; Chlorine compounds; Correlation methods; Fusion reactions; Information fusion; Nuclear physics; Sensor data fusion; Sensors; Aggregated output; Application-specific systems; Complex algorithms; Correlation co-efficient; Data sets; Fusion scheme; International conferences; Weighted-sum; Sensor networks

Conference Paper
type: Class