Energy-efficient distributed estimation algorithm for wireless sensor networks based on covariance intersection with eigendecomposition

The paper introduces and assesses the Eigenvalue Covariance Intersection (EVCI) algorithm for data fusion in Wireless Sensor Networks. The EVCI aims to enhance information fusion efficiency, reduce transmitted data, and potentially extend network lifespan. By conducting the eigendecomposition of cov...

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Vydáno v:Metrology and Measurement systems Ročník 31; číslo 3; s. 465 - 480
Hlavní autoři: Pasek, Przemysław, Kaniewski, Piotr
Médium: Journal Article
Jazyk:angličtina
Vydáno: Warsaw Polish Academy of Sciences 21.11.2024
Témata:
Accuracy
Algorithms
Cost control
Covariance matrix
Data integration
Data transmission
Eigenvalues
Eigenvectors
Energy consumption
Energy efficiency
Multisensor fusion
Random variables
Sensors
Wireless sensor networks
ISSN:2300-1941, 2080-9050, 2300-1941
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Shrnutí:The paper introduces and assesses the Eigenvalue Covariance Intersection (EVCI) algorithm for data fusion in Wireless Sensor Networks. The EVCI aims to enhance information fusion efficiency, reduce transmitted data, and potentially extend network lifespan. By conducting the eigendecomposition of covariance matrices, the EVCI evaluates the utility of eigenvectors and strategically employs only those positively impacting estimate accuracy. Through simulations and comparisons with the Covariance Intersection (CI) algorithm, the study demonstrates EVCI’s ability to maintain accuracy alongside with significant energy savings. The paper provides insights into popular data fusion algorithms, the concept of the EVCI, used formulas, and selected simulation results.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:2300-1941
2080-9050
2300-1941
DOI:10.24425/mms.2024.150290