Title :
Improved adaptive localisation approach for indoor positioning by using environmental thresholds with wireless sensor nodes
Author :
Koyuncu, Hakan ; Shuang Hua Yang
Author_Institution :
Comput. Sci. Dept., Loughborough Univ., Loughborough, UK
Abstract :
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.
Keywords :
Global Positioning System; environmental factors; wireless sensor networks; EAL algorithm; Jennic type wireless sensor nodes; RSSI values; WSN; environmental ranging factors; environmentally adaptive localisation algorithm; received signal strength indicator values; static standard deviation threshold concept; target positions; trigonometric techniques;
Journal_Title :
Wireless Sensor Systems, IET
DOI :
10.1049/iet-wss.2013.0100