Title: A self-adaptive distance correction localisation algorithm based on RSSI-LQI for WSNs

Authors: Huang Yuanliang; Huang Wei

Addresses: Electric Automatization Institute, Jinan University, Zhuhai 519070, China ' Institute of Automation, Chinese Academy of Science, Beijing 100190, China

Abstract: For the problem of wireless location error caused by the effects of environmental factors on received signal strength indication (RSSI) and link quality indicator (LQI), this paper put forward a new self-adaptive distance correction algorithm, which adopted Gaussian model to sift RSSI and LQI. Besides, a direction correction factor and a distance threshold were defined in the improved trilateration localisation algorithm and the improved distance difference correction localisation algorithm. This algorithm with the advantages of short locating time, low hardware spending and little power consumption can effectively improve the location accuracy. The simulation results proved that its location precision was more than 97.3%, which is quite practical for wireless location.

Keywords: RSSI; received signal strength indication; LQI; link quality indicator; trilateration; self-adaptive distance correction; localisation; WSNs; wireless sensor networks; WSNs; wireless location error; simulation.

DOI: 10.1504/IJSNET.2014.065875

International Journal of Sensor Networks, 2014 Vol.16 No.2, pp.106 - 113

Received: 12 May 2014
Accepted: 19 May 2014
Published online: 27 Nov 2014 *

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