Radio map building with IEEE 802.15.4 for indoor localization applications

Md Abdulla Al Mamun; David Vera Anaya; Fan Wu; Jean Michel Redoute; Mehmet Rasit Yuce

doi:10.1109/ICIT.2019.8755034

Radio map building with IEEE 802.15.4 for indoor localization applications

Md Abdulla Al Mamun, David Vera Anaya, Fan Wu, Jean Michel Redoute, Mehmet Rasit Yuce

Electrical and Computer Systems Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

Abstract

Automated radio map building for Radio Signal Strength (RSS) based fingerprinting localization is implemented in this paper. Fingerprinting technique is composed of an offline phase for collecting geotagged fingerprint data called a radio map and an online phase for location estimation by comparing an unknown object's location with the radio map. Typically, radio map is created manually by moving and pin-pointing a location while scanning a network for RSS values within a pre-specified pattern. This cumbersome method is very time consuming and results in inaccuracies in the radio map. This paper presents an automated system to build a radio map of indoor environment by using a self-directed car. The car can move, measure 2D distances, collect RSS values and forward the data to a server via a gateway which calculates the car location coordinates. To test and verify the system, an experiment is conducted in our departmental office spaces. The coordinate estimation accuracy and RSS mapping consistency produced by the proposed system make it possible to build a more accurate and realistic radio map for indoor environments in an automated fashion with decreased possibility of human errors.

Original language	English
Title of host publication	Proceedings - 2019 IEEE International Conference on Industrial Technology (ICIT)
Editors	Antonio Luque, Luis Gomes, Qing-Long Han, Peter Sokolowski
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	181-186
Number of pages	6
ISBN (Electronic)	9781538663769, 9781538663752
ISBN (Print)	9781538663776
DOIs	https://doi.org/10.1109/ICIT.2019.8755034
Publication status	Published - 4 Jul 2019
Event	IEEE International Conference on Industrial Technology 2019 - Melbourne, Australia Duration: 13 Feb 2019 → 15 Feb 2019 Conference number: 20th http://ieee-icit2019.org/ https://ieeexplore.ieee.org/xpl/conhome/8746085/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Industrial Technology 2019
Abbreviated title	ICIT 2019
Country	Australia
City	Melbourne
Period	13/02/19 → 15/02/19
Internet address	http://ieee-icit2019.org/ https://ieeexplore.ieee.org/xpl/conhome/8746085/proceeding (Proceedings)

Keywords

Fingerprinting
IEEE 802.15.4
Indoor localization
Radio map

Access to Document

10.1109/ICIT.2019.8755034

Link to publication in Scopus

Cite this

Al Mamun, M. A., Vera Anaya, D., Wu, F., Redoute, J. M., & Yuce, M. R. (2019). Radio map building with IEEE 802.15.4 for indoor localization applications. In A. Luque, L. Gomes, Q-L. Han, & P. Sokolowski (Eds.), Proceedings - 2019 IEEE International Conference on Industrial Technology (ICIT) (pp. 181-186). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICIT.2019.8755034

Al Mamun, Md Abdulla ; Vera Anaya, David ; Wu, Fan ; Redoute, Jean Michel ; Yuce, Mehmet Rasit. / Radio map building with IEEE 802.15.4 for indoor localization applications. Proceedings - 2019 IEEE International Conference on Industrial Technology (ICIT). editor / Antonio Luque ; Luis Gomes ; Qing-Long Han ; Peter Sokolowski. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 181-186

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abstract = "Automated radio map building for Radio Signal Strength (RSS) based fingerprinting localization is implemented in this paper. Fingerprinting technique is composed of an offline phase for collecting geotagged fingerprint data called a radio map and an online phase for location estimation by comparing an unknown object's location with the radio map. Typically, radio map is created manually by moving and pin-pointing a location while scanning a network for RSS values within a pre-specified pattern. This cumbersome method is very time consuming and results in inaccuracies in the radio map. This paper presents an automated system to build a radio map of indoor environment by using a self-directed car. The car can move, measure 2D distances, collect RSS values and forward the data to a server via a gateway which calculates the car location coordinates. To test and verify the system, an experiment is conducted in our departmental office spaces. The coordinate estimation accuracy and RSS mapping consistency produced by the proposed system make it possible to build a more accurate and realistic radio map for indoor environments in an automated fashion with decreased possibility of human errors.",

keywords = "Fingerprinting, IEEE 802.15.4, Indoor localization, Radio map",

author = "{Al Mamun}, {Md Abdulla} and {Vera Anaya}, David and Fan Wu and Redoute, {Jean Michel} and Yuce, {Mehmet Rasit}",

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doi = "10.1109/ICIT.2019.8755034",

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Al Mamun, MA, Vera Anaya, D, Wu, F, Redoute, JM & Yuce, MR 2019, Radio map building with IEEE 802.15.4 for indoor localization applications. in A Luque, L Gomes, Q-L Han & P Sokolowski (eds), Proceedings - 2019 IEEE International Conference on Industrial Technology (ICIT). IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 181-186, IEEE International Conference on Industrial Technology 2019, Melbourne, Australia, 13/02/19. https://doi.org/10.1109/ICIT.2019.8755034

Radio map building with IEEE 802.15.4 for indoor localization applications. / Al Mamun, Md Abdulla; Vera Anaya, David; Wu, Fan; Redoute, Jean Michel; Yuce, Mehmet Rasit.

Proceedings - 2019 IEEE International Conference on Industrial Technology (ICIT). ed. / Antonio Luque; Luis Gomes; Qing-Long Han; Peter Sokolowski. Piscataway NJ USA : IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 181-186.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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N2 - Automated radio map building for Radio Signal Strength (RSS) based fingerprinting localization is implemented in this paper. Fingerprinting technique is composed of an offline phase for collecting geotagged fingerprint data called a radio map and an online phase for location estimation by comparing an unknown object's location with the radio map. Typically, radio map is created manually by moving and pin-pointing a location while scanning a network for RSS values within a pre-specified pattern. This cumbersome method is very time consuming and results in inaccuracies in the radio map. This paper presents an automated system to build a radio map of indoor environment by using a self-directed car. The car can move, measure 2D distances, collect RSS values and forward the data to a server via a gateway which calculates the car location coordinates. To test and verify the system, an experiment is conducted in our departmental office spaces. The coordinate estimation accuracy and RSS mapping consistency produced by the proposed system make it possible to build a more accurate and realistic radio map for indoor environments in an automated fashion with decreased possibility of human errors.

AB - Automated radio map building for Radio Signal Strength (RSS) based fingerprinting localization is implemented in this paper. Fingerprinting technique is composed of an offline phase for collecting geotagged fingerprint data called a radio map and an online phase for location estimation by comparing an unknown object's location with the radio map. Typically, radio map is created manually by moving and pin-pointing a location while scanning a network for RSS values within a pre-specified pattern. This cumbersome method is very time consuming and results in inaccuracies in the radio map. This paper presents an automated system to build a radio map of indoor environment by using a self-directed car. The car can move, measure 2D distances, collect RSS values and forward the data to a server via a gateway which calculates the car location coordinates. To test and verify the system, an experiment is conducted in our departmental office spaces. The coordinate estimation accuracy and RSS mapping consistency produced by the proposed system make it possible to build a more accurate and realistic radio map for indoor environments in an automated fashion with decreased possibility of human errors.

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Al Mamun MA, Vera Anaya D, Wu F, Redoute JM, Yuce MR. Radio map building with IEEE 802.15.4 for indoor localization applications. In Luque A, Gomes L, Han Q-L, Sokolowski P, editors, Proceedings - 2019 IEEE International Conference on Industrial Technology (ICIT). Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 181-186 https://doi.org/10.1109/ICIT.2019.8755034