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Area localization algorithm for mobile nodes in wireless sensor networks based on support vector machines

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Published:12 December 2007Publication History

ABSTRACT

Many applications in wireless sensor networks require sensor nodes to obtain their absolute or relative positions. Although various localization algorithms have been proposed recently, most of them require nodes to be equipped with range measurement hardware to obtain distance information. In this paper, an area localization method based on Support Vector Machines (SVM) for mobile nodes in wireless sensor networks is presented. Area localization is introduced as an evaluation metric. The area localization procedure contains two phases. Firstly, the RF-based method is used to determine whether the nodes have moved, which only utilizes the value change of RSSI value rather than range measurement. Secondly, connectivity information and SVM algorithm are used for area localization of mobile nodes. The area localization is introduced to trade off the accuracy and precision. And area localization, as a new metric, is used to evaluate our method. The simulation experiments achieve good results.

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    • Published in

      cover image Guide Proceedings
      MSN'07: Proceedings of the 3rd international conference on Mobile ad-hoc and sensor networks
      December 2007
      868 pages
      ISBN:3540770232
      • Editors:
      • Hongke Zhang,
      • Stephan Olariu,
      • Jiannong Cao,
      • David B. Johnson

      Publisher

      Springer-Verlag

      Berlin, Heidelberg

      Publication History

      • Published: 12 December 2007

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      • Article