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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Yang, B., Yang, J., Xu, J., Yang, D. (2007). Area Localization Algorithm for Mobile Nodes in Wireless Sensor Networks Based on Support Vector Machines. In: Zhang, H., Olariu, S., Cao, J., Johnson, D.B. (eds) Mobile Ad-Hoc and Sensor Networks. MSN 2007. Lecture Notes in Computer Science, vol 4864. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77024-4_51
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DOI: https://doi.org/10.1007/978-3-540-77024-4_51
Publisher Name: Springer, Berlin, Heidelberg
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