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Vol. 160, Issue 12, December 2013, pp. 256-261




Based on the Wireless Sensor Network Localization Algorithm of Locality Preserving Canonical Correlation Analysis

Jilin Railway Vocational and Technology College, No. 43, Zhongxing Street, Changyi District, Jilin City, 132101, Jilin Province
E-mail: hao_spring@163.com


Received: 7 November 2013   /Accepted: 22 November 2013   /Published: 30 December 2013

Digital Sensors and Sensor Sysstems


Abstract: Wireless sensor network localization involves the dataset of physical space and signal space, and its layout accord with the characteristic of manifold. This paper uses the own characteristic of topological structure and signal space ,striving to search a right modeling approach to realize the mapping between these two spaces, thus the usage of locality preserving canonical correlation analysis (LPCCA)is put forward to realize the manifold structure and localization. To further improve the accuracy of localization algorithm, through combining specific positioning problem as regression rather than dimensionality reduction to adapt new application, developed an original wireless sensor network localization algorithm LE-LPCCA (location estimation-LPCCA) which can reflect network topological structure information.


Keywords: Wireless sensor network, Localization, Algorithm.


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