Toward Collinearity-Avoidable Localization for Wireless Sensor Network

Joint Authors

Yan, Xiaoyong
Yu, Jimin
Yang, Zhong
Song, Aiguo

Source

Journal of Sensors

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

Civil Engineering

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