Abstract
Aiming at the problem that the multi-hop range-free wireless localization algorithm is sensitive to the influence of the anisotropic sensor network factors, we propose a new approach for localization in wireless sensor networks based on regularization algorithm. We first construct the mapping model using the hop-counts and the distance between anchors, and regularization algorithm is used to describe the optimal linear transformations between the hop-counts and the distance. We then use the hop-counts of no-anchors to anchors and this mapping model to the locations of the non-anchors. We evaluate our algorithm under irregular distribution of nodes and the uneven deployment of nodes, and analyze its performance. We also compare our approach with several existing approaches, and demonstrate our proposed algorithm can effectively avoid the network anisotropy.
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Acknowledgements
The paper is sponsored by the NSF of China (61403080, 61572261, 61373139), National Natural Science Foundation of Jiangsu Province (BK20140641, BK20150868), China Postdoctoral Science Foundation (2014M551635, 2016M601861), Postdoctoral Fund of Jiangsu Province (1302085B), Natural Science Foundation of the Jiangsu Higher Education Institutions of China (15KJB520009) and the Open Project Program of Jiangsu Key Laboratory of Remote Measurement and Control (YCCK201603).
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Yan, X., Yang, Z., Liu, Y., Su, Z., Li, H. (2017). An Improved Localization Algorithm for Anisotropic Sensor Networks. In: Sun, X., Chao, HC., You, X., Bertino, E. (eds) Cloud Computing and Security. ICCCS 2017. Lecture Notes in Computer Science(), vol 10602. Springer, Cham. https://doi.org/10.1007/978-3-319-68505-2_43
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DOI: https://doi.org/10.1007/978-3-319-68505-2_43
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