Abstract
To improve localization accuracy, device-free passive localization studies usually deploy a number of sensor nodes in indoor environments, which causes redundant features and produces large data volumes and high deployment costs. This paper proposes the concept of a two-level redundancy and formulates the node reduction problem as a redundancy control problem. With the goal of using fewer nodes while maintaining high localization accuracy, a method is proposed to control the two-level redundancy efficiently and reduce the number of nodes greatly. Experiments are performed in two completely different environments. The proposed method is able to maintain accuracy levels above 90% and can efficiently reduce the total number of nodes by 59.09% in a large room (150 \({\mathrm{m}}^2\)) and by 68.75% in a small room (25 \({\mathrm{m}}^2\)). Furthermore, due to reduced nodes the proposed method can drastically reduce the needed amount of localization data and the hardware costs.
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Acknowledgements
This work was supported in part by the International S&T Cooperation Program of China (No. 2015DFA11450), the Natural Science Foundation of China (Nos. 71661167004 and 61472057), the ‘111’ Project of the Chinese Ministry of Education and State Administration of Foreign Experts Affairs (No. B14025).
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Liu, J., An, N., Hassan, M.T. et al. Redundancy reduction for indoor device-free localization. Pers Ubiquit Comput 21, 5–15 (2017). https://doi.org/10.1007/s00779-016-0979-8
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DOI: https://doi.org/10.1007/s00779-016-0979-8