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.
Original languageEnglish
Pages (from-to)133-138
Number of pages6
JournalIFAC-PapersOnLine
Volume59
Issue number14
DOIs
StatePublished - 2025

    Research areas

  • 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

ID: 148838363