A Novel Indoor Mobile Localization System Based on Optical Camera Communication

Localizing smartphones in indoor environments offers excellent opportunities for e-commence. In this paper, we propose a localization technique for smartphones in indoor environments. This technique can calculate the coordinates of a smartphone using existing illumination infrastructure with light-e...

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Main Authors: Md. Tanvir Hossan, Mostafa Zaman Chowdhury, Amirul Islam, Yeong Min Jang
Format: Article
Language:English
Published: Hindawi-Wiley 2018-01-01
Series:Wireless Communications and Mobile Computing
Online Access:http://dx.doi.org/10.1155/2018/9353428
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spelling doaj-e6bed15737c848dd87b356bddcd048132020-11-24T20:49:52ZengHindawi-WileyWireless Communications and Mobile Computing1530-86691530-86772018-01-01201810.1155/2018/93534289353428A Novel Indoor Mobile Localization System Based on Optical Camera CommunicationMd. Tanvir Hossan0Mostafa Zaman Chowdhury1Amirul Islam2Yeong Min Jang3Department of Electronics Engineering, Kookmin University, Seoul, Republic of KoreaDepartment of Electronics Engineering, Kookmin University, Seoul, Republic of KoreaDepartment of Electronics Engineering, Kookmin University, Seoul, Republic of KoreaDepartment of Electronics Engineering, Kookmin University, Seoul, Republic of KoreaLocalizing smartphones in indoor environments offers excellent opportunities for e-commence. In this paper, we propose a localization technique for smartphones in indoor environments. This technique can calculate the coordinates of a smartphone using existing illumination infrastructure with light-emitting diodes (LEDs). The system can locate smartphones without further modification of the existing LED light infrastructure. Smartphones do not have fixed position and they may move frequently anywhere in an environment. Our algorithm uses multiple (i.e., more than two) LED lights simultaneously. The smartphone gets the LED-IDs from the LED lights that are within the field of view (FOV) of the smartphone’s camera. These LED-IDs contain the coordinate information (e.g., x- and y-coordinate) of the LED lights. Concurrently, the pixel area on the image sensor (IS) of projected image changes with the relative motion between the smartphone and each LED light which allows the algorithm to calculate the distance from the smartphone to that LED. At the end of this paper, we present simulated results for predicting the next possible location of the smartphone using Kalman filter to minimize the time delay for coordinate calculation. These simulated results demonstrate that the position resolution can be maintained within 10 cm.http://dx.doi.org/10.1155/2018/9353428
collection DOAJ
language English
format Article
sources DOAJ
author Md. Tanvir Hossan
Mostafa Zaman Chowdhury
Amirul Islam
Yeong Min Jang
spellingShingle Md. Tanvir Hossan
Mostafa Zaman Chowdhury
Amirul Islam
Yeong Min Jang
A Novel Indoor Mobile Localization System Based on Optical Camera Communication
Wireless Communications and Mobile Computing
author_facet Md. Tanvir Hossan
Mostafa Zaman Chowdhury
Amirul Islam
Yeong Min Jang
author_sort Md. Tanvir Hossan
title A Novel Indoor Mobile Localization System Based on Optical Camera Communication
title_short A Novel Indoor Mobile Localization System Based on Optical Camera Communication
title_full A Novel Indoor Mobile Localization System Based on Optical Camera Communication
title_fullStr A Novel Indoor Mobile Localization System Based on Optical Camera Communication
title_full_unstemmed A Novel Indoor Mobile Localization System Based on Optical Camera Communication
title_sort novel indoor mobile localization system based on optical camera communication
publisher Hindawi-Wiley
series Wireless Communications and Mobile Computing
issn 1530-8669
1530-8677
publishDate 2018-01-01
description Localizing smartphones in indoor environments offers excellent opportunities for e-commence. In this paper, we propose a localization technique for smartphones in indoor environments. This technique can calculate the coordinates of a smartphone using existing illumination infrastructure with light-emitting diodes (LEDs). The system can locate smartphones without further modification of the existing LED light infrastructure. Smartphones do not have fixed position and they may move frequently anywhere in an environment. Our algorithm uses multiple (i.e., more than two) LED lights simultaneously. The smartphone gets the LED-IDs from the LED lights that are within the field of view (FOV) of the smartphone’s camera. These LED-IDs contain the coordinate information (e.g., x- and y-coordinate) of the LED lights. Concurrently, the pixel area on the image sensor (IS) of projected image changes with the relative motion between the smartphone and each LED light which allows the algorithm to calculate the distance from the smartphone to that LED. At the end of this paper, we present simulated results for predicting the next possible location of the smartphone using Kalman filter to minimize the time delay for coordinate calculation. These simulated results demonstrate that the position resolution can be maintained within 10 cm.
url http://dx.doi.org/10.1155/2018/9353428
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