Toward Collinearity-Avoidable Localization for Wireless Sensor Network
Joint Authors
Yan, Xiaoyong
Yu, Jimin
Yang, Zhong
Song, Aiguo
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-07-27
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
In accordance with the collinearity problem during computation caused by the beacon nodes used for location estimation which are close to be in the same line or same plane, two solutions are proposed in this paper: the geometric analytical localization algorithm based on positioning units and the localization algorithm based on the multivariate analysis method.
The geometric analytical localization algorithm based on positioning units analyzes the topology quality of positioning units used to estimate location and provides quantitative criteria based on that; the localization algorithm based on the multivariate analysis method uses the multivariate analysis method to filter and integrate the beacon nodes coordinate matrixes during the process of location estimation.
Both methods can avoid low estimation accuracy and instability caused by multicollinearity.
American Psychological Association (APA)
Yan, Xiaoyong& Song, Aiguo& Yu, Jimin& Yang, Zhong. 2015. Toward Collinearity-Avoidable Localization for Wireless Sensor Network. Journal of Sensors،Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1070219
Modern Language Association (MLA)
Yan, Xiaoyong…[et al.]. Toward Collinearity-Avoidable Localization for Wireless Sensor Network. Journal of Sensors No. 2015 (2015), pp.1-16.
https://search.emarefa.net/detail/BIM-1070219
American Medical Association (AMA)
Yan, Xiaoyong& Song, Aiguo& Yu, Jimin& Yang, Zhong. Toward Collinearity-Avoidable Localization for Wireless Sensor Network. Journal of Sensors. 2015. Vol. 2015, no. 2015, pp.1-16.
https://search.emarefa.net/detail/BIM-1070219
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1070219