WiFi indoor positioning with binary search method
Conference proceedings article
Authors/Editors
Strategic Research Themes
No matching items found.
Publication Details
Author list: Watcharasukchit S., Triyason T., Krathut W., Tassanaviboon A., Arpnikanondt C.
Publisher: Hindawi
Publication year: 2017
ISBN: 9781538627617
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
Abstract
Indoor monitoring is one of the prevalent features in smart home contest. This paper provides a new practical approach for indoor position using WiFi. The approach uses the signal strength of a receiver from transmitters to calculate relative distances from the received signal strength. Finally, the position is calculated by applying the Binary Search algorithm and relative distances. In order to evaluate the performance of the proposed algorithm, the experimental test-bed on four-corner access points is conducted. The results show that the calculated positions at the border, or near the access points, are accurate. However, the results in the middle have some errors, due to a distance from access points. The preliminary observation shows that the errors came from the limitation of receiver hardware, which can be compensated by adjusting access points topology. ฉ 2017 IEEE.
Keywords
Indoor Position, Relative Distance, RSSI, WiFi
Contact Information