DocumentCode :
3441144
Title :
A Robust Node Localization Based on Local Network Feature in Wireless Sensor Networks
Author :
Zhao, Fang ; Ma, Yan ; Luo, Haiyong ; Ding, Zhenhua ; Lin, Quan
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
fDate :
12-14 Oct. 2008
Firstpage :
1
Lastpage :
5
Abstract :
This paper presents a robust distributed weighted least-square scaling localization algorithm based on the local network feature. It first filters out 1-hop gross ranging errors of the unknown nodes by using the threshold parameters of extreme ranging overestimates and extreme ranging underestimate with the local network feature, and then employs Gauss-kernel- weighted least squares to position nodes. Simulation results confirm that this localization scheme outperforms traditional weighted least squares, which does not adopt outlier identification scheme. The localization accuracy of the unknown nodes which are directly related to the outliers improves remarkably.
Keywords :
least squares approximations; wireless sensor networks; least-square scaling localization algorithm; local network feature; robust distributed weighted least-square algorithm; robust node localization; wireless sensor networks; Computers; Filters; Gaussian processes; Hardware; Interference; Least squares methods; Network topology; Robustness; Software algorithms; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-2107-7
Electronic_ISBN :
978-1-4244-2108-4
Type :
conf
DOI :
10.1109/WiCom.2008.881
Filename :
4678789
Link To Document :
بازگشت