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

• Autorzy: Pasek Przemysław , Kaniewski Piotr

Identyfikatory

DOI

10.24425/mms.2024.150290

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

wireless sensor networks; data fusion; state estimation; covariance intersection; energy efficiency; data reduction

• Wydawca: Komitet Metrologii i Aparatury Naukowej PAN
• Czasopismo: Metrology and Measurement Systems
• Rocznik: 2024
• Tom: Vol. 31, nr 3
• Strony: 465--480
• Opis fizyczny: Bibliogr. 29 poz., rys., wykr., wzory

Twórcy

autor

Pasek Przemysław

• Military University of Technology, Faculty of Electronics, Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland

autor

Kaniewski Piotr

• Military University of Technology, Faculty of Electronics, Gen. S. Kaliskiego 2, 00-908 Warsaw, Poland

Bibliografia

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Uwagi

1. This work was supported by the Military University of Technology, Poland, under research project UGB 22-752.

2. Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).