DocumentCode :
2118718
Title :
Localization Algorithm Based on Difference Estimation for Wireless Sensor Networks
Author :
Su, Fugen ; Ren, Weizheng ; Jin, Hongli
Author_Institution :
Century Coll., Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2009
fDate :
27-28 Feb. 2009
Firstpage :
499
Lastpage :
503
Abstract :
In order to suppress effectively the effects of RSSI error to wireless sensor networks node localizationpsilas precision, individual diversity difference coefficient, distance difference coefficient and distance difference localization equation is defined based on the analysis of the models of maximum likelihood estimation and RSSI. The closest beaconing node to object node as reference node corrects measure distance based on RSSI by difference method. A distance difference localization algorithm is put forward through combining difference correction method and maximum likelihood estimation method. This localization algorithm neednpsilat additional hardware spending, easy to be realized and its localization error is less than 2.5 m, therefore it is fit for localization of WSN node whose operation ability and power supply are restricted.
Keywords :
maximum likelihood estimation; wireless sensor networks; RSSI error; beaconing node; distance difference coefficient; distance difference localization equation; individual diversity difference coefficient; localization algorithm; maximum likelihood estimation method; object node; power supply; received signal strength; reference node; wireless sensor networks; Algorithm design and analysis; Coordinate measuring machines; Costs; Distance measurement; Hardware; Maximum likelihood estimation; Power supplies; Propagation losses; Radio propagation; Wireless sensor networks; Difference.; Localization; Maximum Likelihood Estimation; RSSI; Wireless Sensor Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication Software and Networks, 2009. ICCSN '09. International Conference on
Conference_Location :
Macau
Print_ISBN :
978-0-7695-3522-7
Type :
conf
DOI :
10.1109/ICCSN.2009.129
Filename :
5076901
Link To Document :
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