Title :
Improving RSSI based distance estimation for 802.15.4 wireless sensor networks
Author :
Faheem, A. ; Virrankoski, R. ; Elmusrati, M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Vaasa, Vaasa, Finland
fDate :
Aug. 28 2010-Sept. 3 2010
Abstract :
In this paper an RSSI based distance estimation technique for 802.15.4 network, based on CC2420 radio core, is discussed. In this approach we use standard deviation (SD) of the RSSI value and the packet loss information as a part of model parameters estimation process. The SD and packet loss limits are optimized along with the curve parameters to achieve minimum distance error. The distance estimator uses these optimized limits as a measure of accuracy of the remote node´s estimated distance.
Keywords :
parameter estimation; statistical analysis; wireless sensor networks; 802.15.4 wireless sensor networks; CC2420 radio core; RSSI based distance estimation; packet loss information; parameter estimation; standard deviation; Battery charge measurement; Conferences; Data models; Estimation; Mathematical model; Robot sensing systems; Wireless sensor networks;
Conference_Titel :
Wireless Information Technology and Systems (ICWITS), 2010 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
978-1-4244-7091-4
DOI :
10.1109/ICWITS.2010.5611813