Standard

SPSA-based Consensus Algorithm for Mutual IoT Device Positioning. / Chernov, A.; Erofeeva, V.; Granichin, O.; Moseyko, E.

в: IFAC-PapersOnLine, Том 59, № 14, 2025, стр. 133-138.

Результаты исследований: Научные публикации в периодических изданиях › статья в журнале по материалам конференции › Рецензирование

Harvard

Chernov, A, Erofeeva, V, Granichin, O & Moseyko, E 2025, 'SPSA-based Consensus Algorithm for Mutual IoT Device Positioning', IFAC-PapersOnLine, Том. 59, № 14, стр. 133-138. https://doi.org/10.1016/j.ifacol.2025.12.138

APA

Chernov, A., Erofeeva, V., Granichin, O., & Moseyko, E. (2025). SPSA-based Consensus Algorithm for Mutual IoT Device Positioning. IFAC-PapersOnLine, 59(14), 133-138. https://doi.org/10.1016/j.ifacol.2025.12.138

Vancouver

Chernov A, Erofeeva V, Granichin O, Moseyko E. SPSA-based Consensus Algorithm for Mutual IoT Device Positioning. IFAC-PapersOnLine. 2025;59(14):133-138. https://doi.org/10.1016/j.ifacol.2025.12.138

Author

Chernov, A. ; Erofeeva, V. ; Granichin, O. ; Moseyko, E. / SPSA-based Consensus Algorithm for Mutual IoT Device Positioning. в: IFAC-PapersOnLine. 2025 ; Том 59, № 14. стр. 133-138.

BibTeX

@article{c154b2182c0b4696986bd54234c71820,
title = "SPSA-based Consensus Algorithm for Mutual IoT Device Positioning",
abstract = "Data fusion is an innovative method in data processing, leveraging a combination of diverse data sources and flows and incorporating spatial and temporal dimensions to enhance the efficiency of estimation and control processes. In this work, an adaptive system architecture for mutual IoT device positioning is presented. The system utilizes pairwise distances between devices and determines their relative position using the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm combined with the consensus algorithm. {\textcopyright} {\textcopyright} 2025 The Authors.",
keywords = "consensus algorithm, indoor positioning, mutual positioning, randomized algorithm, simultaneous perturbation stochastic approximation, SPSA, Adaptive control systems, Approximation theory, Computer architecture, Consensus algorithm, Data fusion, Data handling, Integrated circuits, Intelligent systems, Stochastic systems, Consensus algorithms, Data-source, Dataflow, Indoor positioning, Innovative method, Mutual positioning, Randomized Algorithms, Simultaneous perturbation stochastic approximation, Spatial dimension, Approximation algorithms",
author = "A. Chernov and V. Erofeeva and O. Granichin and E. Moseyko",
note = "Export Date: 16 February 2026; Cited By: 0; Conference name: 15th IFAC Workshop on Adaptive and Learning Control Systems, ALCOS 2025; Conference location: Mexico City; Conference date: 2025-07-02 through 2025-07-04",
year = "2025",
doi = "10.1016/j.ifacol.2025.12.138",
language = "Английский",
volume = "59",
pages = "133--138",
journal = "IFAC-PapersOnLine",
issn = "2405-8971",
publisher = "Elsevier",
number = "14",

}

RIS

TY - JOUR

T1 - SPSA-based Consensus Algorithm for Mutual IoT Device Positioning

AU - Chernov, A.

AU - Erofeeva, V.

AU - Granichin, O.

AU - Moseyko, E.

N1 - Export Date: 16 February 2026; Cited By: 0; Conference name: 15th IFAC Workshop on Adaptive and Learning Control Systems, ALCOS 2025; Conference location: Mexico City; Conference date: 2025-07-02 through 2025-07-04

PY - 2025

Y1 - 2025

N2 - Data fusion is an innovative method in data processing, leveraging a combination of diverse data sources and flows and incorporating spatial and temporal dimensions to enhance the efficiency of estimation and control processes. In this work, an adaptive system architecture for mutual IoT device positioning is presented. The system utilizes pairwise distances between devices and determines their relative position using the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm combined with the consensus algorithm. © © 2025 The Authors.

AB - Data fusion is an innovative method in data processing, leveraging a combination of diverse data sources and flows and incorporating spatial and temporal dimensions to enhance the efficiency of estimation and control processes. In this work, an adaptive system architecture for mutual IoT device positioning is presented. The system utilizes pairwise distances between devices and determines their relative position using the Simultaneous Perturbation Stochastic Approximation (SPSA) algorithm combined with the consensus algorithm. © © 2025 The Authors.

KW - consensus algorithm

KW - indoor positioning

KW - mutual positioning

KW - randomized algorithm

KW - simultaneous perturbation stochastic approximation

KW - SPSA

KW - Adaptive control systems

KW - Approximation theory

KW - Computer architecture

KW - Consensus algorithm

KW - Data fusion

KW - Data handling

KW - Integrated circuits

KW - Intelligent systems

KW - Stochastic systems

KW - Consensus algorithms

KW - Data-source

KW - Dataflow

KW - Indoor positioning

KW - Innovative method

KW - Mutual positioning

KW - Randomized Algorithms

KW - Simultaneous perturbation stochastic approximation

KW - Spatial dimension

KW - Approximation algorithms

U2 - 10.1016/j.ifacol.2025.12.138

DO - 10.1016/j.ifacol.2025.12.138

M3 - статья в журнале по материалам конференции

VL - 59

SP - 133

EP - 138

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

SN - 2405-8971

IS - 14

ER -

ID: 148838363