Title :
Error analysis in indoors localization using ZigBee wireless networks
Author :
Azenha, Abílio ; Peneda, Luis ; Carvalho, Adriano
Author_Institution :
Inst. for Syst. & Robot., Univ. of Porto, Porto, Portugal
Abstract :
This paper describes indoors radio frequency (RF) localization using radio signal strength indication (RSSI) which is available in wireless communications networks. The main advantage of described methodology is taking as localization hardware the communications sub-system and developing dedicated software in order to obtain a location of mobile network nodes using trilateration algorithm. Accuracy is strongly dependent on quality of measured RSSI. Needing of post-processing of raw RSSI values in order to obtain good results in terms of mobile nodes location estimation is shown. In order to apply RSSI values from wireless communications hardware to localization sub-system, filtering is thus an approach to overcome limitations due to RSSI values fluctuations.
Keywords :
Zigbee; indoor radio; mobility management (mobile radio); RSSI; ZigBee; error analysis; indoor localization; mobile nodes location estimation; radio frequency localization; radio signal strength indication; trilateration algorithm; wireless communications networks; Accuracy; Equations; Filtering; Mathematical model; Measurement uncertainty; Mobile communication; Radio frequency;
Conference_Titel :
IECON 2010 - 36th Annual Conference on IEEE Industrial Electronics Society
Conference_Location :
Glendale, AZ
Print_ISBN :
978-1-4244-5225-5
Electronic_ISBN :
1553-572X
DOI :
10.1109/IECON.2010.5675061