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Proceedings Paper

Node cooperation based support vector machine localization algorithm in mobile wireless sensor networks
Author(s): Qing Guo; Tao Tang
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Paper Abstract

In wireless sensor networks (WSNs), locations of sensors play a critical role in many applications. For some applications, the nodes are constantly moving in the network. Therefore, the positions of nodes in mobile WSNs can not be determined by current static localization algorithms. To solve this problem, a new centralized localization algorithm called node cooperation based support vector machine localization (NCBSVML) algorithm for mobile wireless sensor networks is proposed. NCBSVML algorithm classified the network into many classes, and justifies which class is node in. Then the NCBSVML algorithm determines the node location by filtering the impossible locations based on new observations. Our approach does not require additional hardware and works even when the movement of anchors and nodes is uncontrollable. The properties of our technique are analyzed from simulations. Our scheme outperforms the best known mobile localization schemes in accuracy and precision under a wide range of conditions.

Paper Details

Date Published: 15 April 2011
PDF: 9 pages
Proc. SPIE 7982, Smart Sensor Phenomena, Technology, Networks, and Systems 2011, 79820N (15 April 2011); doi: 10.1117/12.880253
Show Author Affiliations
Qing Guo, Harbin Institute of Technology (China)
Tao Tang, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 7982:
Smart Sensor Phenomena, Technology, Networks, and Systems 2011
Wolfgang Ecke; Kara J. Peters; Theodore E. Matikas, Editor(s)

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