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Wireless Communications and Mobile Computing
Volume 2018, Article ID 7680780, 13 pages
Research Article

An Implementation Approach and Performance Analysis of Image Sensor Based Multilateral Indoor Localization and Navigation System

Department of Electronics Engineering, Kookmin University, Seoul, Republic of Korea

Correspondence should be addressed to Yeong Min Jang;

Received 30 April 2018; Revised 10 September 2018; Accepted 4 October 2018; Published 22 October 2018

Academic Editor: Tony T. Luo

Copyright © 2018 Md. Shahjalal et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Optical camera communication (OCC) exhibits considerable importance nowadays in various indoor camera based services such as smart home and robot-based automation. An android smart phone camera that is mounted on a mobile robot (MR) offers a uniform communication distance when the camera remains at the same level that can reduce the communication error rate. Indoor mobile robot navigation (MRN) is considered to be a promising OCC application in which the white light emitting diodes (LEDs) and an MR camera are used as transmitters and receiver, respectively. Positioning is a key issue in MRN systems in terms of accuracy, data rate, and distance. We propose an indoor navigation and positioning combined algorithm and further evaluate its performance. An android application is developed to support data acquisition from multiple simultaneous transmitter links. Experimentally, we received data from four links which are required to ensure a higher positioning accuracy.