University of Oulu

C. H. M. de Lima, J. Saloranta and M. Latva-aho, "Collaborative Positioning Mechanism Using Bayesian Probabilistic Models for Industry Verticals," 2019 16th International Symposium on Wireless Communication Systems (ISWCS), Oulu, Finland, 2019, pp. 315-319,

Collaborative positioning mechanism using Bayesian probabilistic models for industry verticals

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Author: de Lima, Carlos H. M.1; Saloranta, Jani1; Latva-aho, Matti1
Organizations: 1Centre for Wireless Communications, University of Oulu, Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2019
Publish Date: 2020-04-17


In this paper, we develop a collaborative positioning mechanism which uses Bayesian probabilistic models to combine multidimensional sensory data and localize target nodes over the network deployment area. Herein, heterogeneous anchor nodes with distinct radio access technologies and experiencing various radio channel features implement a joint sensor fusion and positioning system for industry verticals. The proposed mechanism also relies on a modern network architecture whereby devices offload high-demand computation to more capable edge servers which then estimate the target node position after gathering anchors measurements and prior history. Kernel density estimation results are used to show that edge servers implementing Bayesian-based sensor fusion and positioning system effectively estimate the target node location when using hybrid metrics and combining past and current sensory inputs.

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Series: International Symposium on Wireless Communication Systems
ISSN: 2154-0217
ISSN-E: 2154-0225
ISSN-L: 2154-0217
ISBN: 978-1-7281-2527-5
ISBN Print: 978-1-7281-2528-2
Pages: 315 - 319
DOI: 10.1109/ISWCS.2019.8877302
Host publication: 2019 16th International Symposium on Wireless Communication Systems (ISWCS) 27-30 August 2019 Oulu, Finland
Conference: International Symposium on Wireless Communication Systems
Type of Publication: A4 Article in conference proceedings
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The research leading to these results has received funding from the Academy of Finland through the projects 6Genesis Flagship (Grant No. 318927), and Positioning-aided Reliably-connected Industrial Systems with Mobile mmWave Access (PRISMA).
Academy of Finland Grant Number: 318927
Detailed Information: 318927 (Academy of Finland Funding decision)
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