%0 Book Section %1 springerlink:10.1007/978-3-540-77024-4_51 %A Yang, Bin %A Yang, Jianhong %A Xu, Jinwu %A Yang, Debin %B Mobile Ad-Hoc and Sensor Networks %D 2007 %E Zhang, Hongke %E Olariu, Stephan %E Cao, Jiannong %E Johnson, David %I Springer Berlin / Heidelberg %K wlanpos %P 561-571 %T Area Localization Algorithm for Mobile Nodes in Wireless Sensor Networks Based on Support Vector Machines %U http://dx.doi.org/10.1007/978-3-540-77024-4_51 %V 4864 %X 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.

@incollection{springerlink:10.1007/978-3-540-77024-4_51, 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.}, added-at = {2010-10-13T11:32:56.000+0200}, affiliation = {School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083 China}, author = {Yang, Bin and Yang, Jianhong and Xu, Jinwu and Yang, Debin}, biburl = {https://www.bibsonomy.org/bibtex/2c8b890b3b2d7a0631b60a38fee3f2e7d/kw}, booktitle = {Mobile Ad-Hoc and Sensor Networks}, editor = {Zhang, Hongke and Olariu, Stephan and Cao, Jiannong and Johnson, David}, interhash = {22dd3e3d9b3c36615f40a566b1e5f642}, intrahash = {c8b890b3b2d7a0631b60a38fee3f2e7d}, keywords = {wlanpos}, note = {10.1007/978-3-540-77024-4_51}, pages = {561-571}, publisher = {Springer Berlin / Heidelberg}, series = {Lecture Notes in Computer Science}, timestamp = {2010-10-13T11:32:56.000+0200}, title = {Area Localization Algorithm for Mobile Nodes in Wireless Sensor Networks Based on Support Vector Machines}, url = {http://dx.doi.org/10.1007/978-3-540-77024-4_51}, volume = 4864, year = 2007 }