Title: Distance measurement correction based on feedback filter for RSSI localisation technique in WSNs

Authors: Dhouha El Houssaini; Zina Mohamed; Sabrine Khriji; Kamel Besbes; Olfa Kanoun

Addresses: National School of Engineers of Sfax, University of Sfax, 3038 Sfax, Tunisia; Chair for Measurement and Sensor Technology, Chemnitz University of Technology, Reichenhainer Str. 70, 09126 Chemnitz, Germany ' National School of Engineers of Sfax, University of Sfax, 3038 Sfax, Tunisia ' National School of Engineers of Sfax, University of Sfax, 3038 Sfax, Tunisia; Chair for Measurement and Sensor Technology, Chemnitz University of Technology, Reichenhainer Str. 70, 09126 Chemnitz, Germany ' Centre for Research on Microelectronics and Nanotechnology, Sousse 4050, Tunisia; Microelectronics and Instrumentation Laboratory, Faculty of Sciences of Monastir, University of Monastir, Tunisia ' Chair for Measurement and Sensor Technology, Chemnitz University of Technology, Reichenhainer Str. 70, 09126 Chemnitz, Germany

Abstract: Localisation methods based on the received signal strength indicator (RSSI) are widely used in wireless sensor networks (WSNs). They offer an energy reduced and cost-effective solutions for wireless localisation. Due to radio irregularity, RSSI localisation is vulnerable to multipath, shadowing, interference and environmental effects, which reduces the accuracy of localisation results. In this paper, a new distance measurement correction algorithm is presented, which is based on feedback filter and hardware characteristic. It implements the feedback filter with consideration of historical values of RSSI. This enables to predict possible values of RSSI and thus nodes positions. Hardware characteristics, such as multiplication and summation capabilities are explored to improve the localisation accuracy. Real experiments were carried out on panStamp sensor nodes at two different temperatures. The new proposed RSSI technique shows a reduced localisation error compared to the simple RSSI method.

Keywords: wireless sensor networks; WSNs; localisation; distance correction; received signal strength indicator; RSSI; feedback filters; computational capabilities, temperature variation.

DOI: 10.1504/IJSSC.2018.097293

International Journal of Space-Based and Situated Computing, 2018 Vol.8 No.3, pp.160 - 168

Received: 04 Sep 2018
Accepted: 27 Sep 2018
Published online: 10 Jan 2019 *

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