Open AccessImproved adaptive localisation approach for indoor positioning by using environmental thresholds with wireless sensor nodes
Author(s) -
Koyuncu Hakan,
Yang Shuang Hua
Publication year - 2015
Publication title -
iet wireless sensor systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.433
H-Index - 27
eISSN - 2043-6394
pISSN - 2043-6386
DOI - 10.1049/iet-wss.2013.0100
Subject(s) - wireless sensor network , computer science , wireless , hybrid positioning system , real time computing , computer network , telecommunications , engineering , positioning system , structural engineering , node (physics)
Jennic type wireless sensor nodes (WSN) are utilised together with environmentally adaptive localisation algorithm (EAL), to determine the unknown target positions. Received signal strength indicator (RSSI) values are employed within their standard deviation boundaries around their mean. Static standard deviation threshold concept for RSSI values is introduced to adapt them to environmental ranging factors. Trigonometric techniques are utilised together with EAL algorithm to calculate the unknown target positions. Positional accuracies of around 1 m are obtained in this study.