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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

3D Trilateration Localization using RSSI in Indoor Environment

Author 1: Nur Diana Rohmat Rose
Author 2: Low Tan Jung
Author 3: Muneer Ahmad

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Digital Object Identifier (DOI) : 10.14569/IJACSA.2020.0110250

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 2, 2020.

  • Abstract and Keywords
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Abstract: Received Signal Strength Indicator (RSSI) is one of the most popular technique for outdoor and indoor localization. There are many previous researches on RSSI-based indoor localization systems. However, most of them lack a solid classification method that reduce localization errors with better accuracy. This paper will focus on indoor localization methods to provide a technological perspective of indoor positioning systems. This paper proposes an indoor localization by using 3D trilateration method to locate target tags from RFID readers that used RSSI measurements for range determination. There will be six test cases for each reader. This system can track any target within the selected area with less localization error.

Keywords: RSSI; RFID; Indoor Positioning System (IPS); trilateration; 3D localization

Nur Diana Rohmat Rose, Low Tan Jung and Muneer Ahmad, “3D Trilateration Localization using RSSI in Indoor Environment” International Journal of Advanced Computer Science and Applications(IJACSA), 11(2), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110250

@article{Rose2020,
title = {3D Trilateration Localization using RSSI in Indoor Environment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110250},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110250},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {2},
author = {Nur Diana Rohmat Rose and Low Tan Jung and Muneer Ahmad}
}


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