A self-adaptive distance correction localisation algorithm based on RSSI-LQI for WSNs Online publication date: Thu, 27-Nov-2014
by Huang Yuanliang; Huang Wei
International Journal of Sensor Networks (IJSNET), Vol. 16, No. 2, 2014
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.
Online publication date: Thu, 27-Nov-2014
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Sensor Networks (IJSNET):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email email@example.com