Improved adaptive localisation approach for indoor positioning by using environmental thresholds with wireless sensor nodes

Hakan Koyuncu; Shuang Hua Yang

Improved adaptive localisation approach for indoor positioning by using environmental thresholds with wireless sensor nodes

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Author(s): Hakan Koyuncu ¹ and Shuang Hua Yang ¹
- Affiliations: 1: Computer Science Department, Loughborough University, Loughborough, UK
Source: Volume 5, Issue 3, June 2015, p. 157 – 165
DOI: 10.1049/iet-wss.2013.0100 , Print ISSN 2043-6386, Online ISSN 2043-6394

Received 12/08/2013, Accepted 20/09/2014, Revised 27/07/2014, Published 11/05/2015

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.

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Improved adaptive localisation approach for indoor positioning by using environmental thresholds with wireless sensor nodes

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