Volume 9 - Issue 18
A new incremental localization algorithm based on multivariate analysis for wireless sensor networks
Abstract
A new incremental localization algorithm called location estimation-feasible weighted least square-ridge regression (LE-FWLS-RR), which combines the feasible weighted least squares (FWLS) in the multivariate analysis with the ridge regression (RR), and utilizes the FWLS to solve the heteroscedasticity caused by the error accumulation in the process of incremental localization; in the process of estimation, the RR is used to solve the topology problems between the original beacon nodes and new beacon nodes. The simulation results show that the method can not only effectively restrain the influence caused by the accumulative errors, but also can adapt to the different node topological shapes, so as to improve the positioning accuracy of the nodes.
Paper Details
PaperID: 84886244630
Author's Name: Yan, X., Qian, H., Chen, J.
Volume: Volume 9
Issues: Issue 18
Keywords: Feasible weighted least squares, Incremental localization, Ridge regression, Wireless sensor network
Year: 2013
Month: September
Pages: 7493-7500