Title :
A incremental localization based on feasible weighted least squares
Author :
Huafeng Li ; Huanyan Qian
Author_Institution :
Sch. of Comput. Sci. & Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
In accordance with the fact that current incremental location estimation methods have ignored the real characteristics of environment, an incremental location estimation method based on feasible weighted least squares (LE-FWLS) method is proposed. This algorithm has considered the deployment environment of wireless sensor network, it only uses a small number of beacon nodes, and the networking characteristics of wireless sensor network have been considered, such as multi-hop and accumulation of errors. The improved algorithm can overcome various problems, such as the large error of positioning result caused by accumulated errors and difficulty to implement the location estimation method due to unavailable weights in traditional incremental location estimation methods. It uses the residual error obtained in each computation as the weight matrix, so it can accurately reflect the situation of error accumulation. Related experiments have also proved the feasibility, stability and practicality of this algorithm, and it can significantly increase the positioning accuracy.
Keywords :
least squares approximations; wireless sensor networks; LE-FWLS method; beacon node; feasible weighted least square method; incremental localization; incremental location estimation method; positioning error; weight matrix; wireless sensor network; Accuracy; Estimation; Least squares approximations; Monitoring; OWL; Wireless communication; Wireless sensor networks; feasible weighted least squares; node localization; wireless sensor network;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2013 3rd International Conference on
Conference_Location :
Xianning
Print_ISBN :
978-1-4799-2859-0
DOI :
10.1109/CECNet.2013.6703286