Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system

Saša Pešić; Miloš Radovanović; Milenko Tošić; Mirjana Ivanović; Ognjen Iković; Dragan Bošković

doi:10.1145/3227609.3227652

Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system

Saša Pešić, Miloš Radovanović, Milenko Tošić, Mirjana Ivanović, Ognjen Iković, Dragan Bošković

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

In this paper we present a Bluetooth Low Energy Microlocation Asset Tracking system (BLEMAT) that performs real-time position estimation and asset tracking based on BLE beacons and scanners. It is built on a context-aware fog computing system comprising Internet of Things controllers, sensors and a cloud platform, helped by machine-learning models and techniques. The BLEMAT system offers detecting signal propagation obstacles, performing signal perturbation correction and beacon paths exploration as well as auto discovery and onboarding of fog controller devices. These are the key characteristics of semi-supervised indoor position estimation services. In this paper we have shown there are solid basis that a fog computing system can efficiently carry out semi-supervised machine learning procedures for high-precision indoor position estimation and space modeling without the need for detailed input information (i.e. floor plan, signal propagation map, scanner position). In addition, the fog computing system inherently brings high level of system robustness, integrity, privacy and trust.

Original language	English (US)
Title of host publication	WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics
Editors	Costin Badica, Rajendra Akerkar, Mirjana Ivanovic, Milos Savic, Milos Radovanovic, Sang-Wook Kim, Riccardo Rosati, Yannis Manolopoulos
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450354899
DOIs	https://doi.org/10.1145/3227609.3227652
State	Published - Jun 25 2018
Externally published	Yes
Event	8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018 - Novi Sad, Serbia Duration: Jun 25 2018 → Jun 27 2018

Publication series

Name	ACM International Conference Proceeding Series

Other

Other	8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018
Country/Territory	Serbia
City	Novi Sad
Period	6/25/18 → 6/27/18

Keywords

Fog computing
Indoor positioning
Machine learning
Space modeling

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3227609.3227652

Cite this

Pešić, S., Radovanović, M., Tošić, M., Ivanović, M., Iković, O., & Bošković, D. (2018). Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system. In C. Badica, R. Akerkar, M. Ivanovic, M. Savic, M. Radovanovic, S.-W. Kim, R. Rosati, & Y. Manolopoulos (Eds.), WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3227609.3227652

Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system. / Pešić, Saša; Radovanović, Miloš; Tošić, Milenko et al.
WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics. ed. / Costin Badica; Rajendra Akerkar; Mirjana Ivanovic; Milos Savic; Milos Radovanovic; Sang-Wook Kim; Riccardo Rosati; Yannis Manolopoulos. Association for Computing Machinery, 2018. (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pešić, S, Radovanović, M, Tošić, M, Ivanović, M, Iković, O & Bošković, D 2018, Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system. in C Badica, R Akerkar, M Ivanovic, M Savic, M Radovanovic, S-W Kim, R Rosati & Y Manolopoulos (eds), WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics. ACM International Conference Proceeding Series, Association for Computing Machinery, 8th International Conference on Web Intelligence, Mining and Semantics, WIMS 2018, Novi Sad, Serbia, 6/25/18. https://doi.org/10.1145/3227609.3227652

Pešić S, Radovanović M, Tošić M, Ivanović M, Iković O, Bošković D. Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system. In Badica C, Akerkar R, Ivanovic M, Savic M, Radovanovic M, Kim SW, Rosati R, Manolopoulos Y, editors, WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics. Association for Computing Machinery. 2018. (ACM International Conference Proceeding Series). doi: 10.1145/3227609.3227652

Pešić, Saša ; Radovanović, Miloš ; Tošić, Milenko et al. / Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system. WIMS 2018 - 8th International Conference on Web Intelligence, Mining and Semantics. editor / Costin Badica ; Rajendra Akerkar ; Mirjana Ivanovic ; Milos Savic ; Milos Radovanovic ; Sang-Wook Kim ; Riccardo Rosati ; Yannis Manolopoulos. Association for Computing Machinery, 2018. (ACM International Conference Proceeding Series).

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Bluetooth low energy microlocation asset tracking (blemat) in a context-aware fog computing system

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Keywords

ASJC Scopus subject areas

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