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Sensors 2017, 17(12), 2959; doi:10.3390/s17122959

A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks

School of Computer Engineering, Jinling Institute of Technology, Nanjing, 211169, China
School of Modern Post & Institute of Modern Posts, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
School of Computer & Software, Nanjing University of Information Science and Technology, Nanjing 210044, China
Author to whom correspondence should be addressed.
Received: 20 November 2017 / Revised: 12 December 2017 / Accepted: 18 December 2017 / Published: 20 December 2017
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A novel large-scale multi-hop localization algorithm based on regularized extreme learning is proposed in this paper. The large-scale multi-hop localization problem is formulated as a learning problem. Unlike other similar localization algorithms, the proposed algorithm overcomes the shortcoming of the traditional algorithms which are only applicable to an isotropic network, therefore has a strong adaptability to the complex deployment environment. The proposed algorithm is composed of three stages: data acquisition, modeling and location estimation. In data acquisition stage, the training information between nodes of the given network is collected. In modeling stage, the model among the hop-counts and the physical distances between nodes is constructed using regularized extreme learning. In location estimation stage, each node finds its specific location in a distributed manner. Theoretical analysis and several experiments show that the proposed algorithm can adapt to the different topological environments with low computational cost. Furthermore, high accuracy can be achieved by this method without setting complex parameters. View Full-Text
Keywords: larger-scale wireless multi-hop localization; regularized extreme learning; machine learning larger-scale wireless multi-hop localization; regularized extreme learning; machine learning

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Zheng, W.; Yan, X.; Zhao, W.; Qian, C. A Large-Scale Multi-Hop Localization Algorithm Based on Regularized Extreme Learning for Wireless Networks. Sensors 2017, 17, 2959.

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