Location estimation in indoor wireless networks by hierarchical support vector machines with fast learning algorithm

@article{Feng2010LocationEI,
  title={Location estimation in indoor wireless networks by hierarchical support vector machines with fast learning algorithm},
  author={Vin Sen Feng and Tai Chi Wang and Shih Yu Chang and Hsi-Pin Ma},
  journal={2010 International Conference on System Science and Engineering},
  year={2010},
  pages={321-326}
}
We consider the problem of estimating the physical locations of nodes in an indoor wireless network since knowing the physical locations of the nodes is important to many tasks of a wireless network such as network management, event detection, location-based service, and routing. A hierarchical support vector machines (H-SVM) scheme is proposed with the following advantages. First, H-SVM offers an efficient localization procedure in a distributed manner due to hierarchical structure. Second, H… CONTINUE READING

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