Semi-supervised Laplacian regularized least squares algorithm for localization in wireless sensor networks

@article{Chen2011SemisupervisedLR,
  title={Semi-supervised Laplacian regularized least squares algorithm for localization in wireless sensor networks},
  author={Jiming Chen and Chengqun Wang and Youxian Sun and Xuemin Shen},
  journal={Computer Networks},
  year={2011},
  volume={55},
  pages={2481-2491}
}
In this paper, we propose a new approach for localization in wireless sensor networks based on semi-supervised Laplacian regularized least squares algorithm. We consider two kinds of localization data: signal strength and pair-wise distance between nodes. When nodes are close within their physical location space, their localization data vectors should be similar. We first propose a solution using the alignment criterion to learn an appropriate kernel function in terms of the similarities… CONTINUE READING
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