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Mathematical Problems in Engineering
Volume 2013, Article ID 461089, 9 pages
http://dx.doi.org/10.1155/2013/461089
Research Article

Efficient Radio Map Construction Based on Low-Rank Approximation for Indoor Positioning

Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Computer Science and Technology, Beijing University of Technology, Beijing 100124, China

Received 4 July 2013; Accepted 5 September 2013

Academic Editor: Matjaz Perc

Copyright © 2013 Yongli Hu et al. 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.

Citations to this Article [8 citations]

The following is the list of published articles that have cited the current article.

  • Noura Baccar, Mootez Jridi, and Ridha Bouallegue, “Neuro-fuzzy localization in wireless sensor networks,” 2016 International Symposium on Signal, Image, Video and Communications (ISIVC), pp. 35–40, . View at Publisher · View at Google Scholar
  • Xinglin Piao, Yongli Hu, Yanfeng Sun, Baocai Yin, and Junbin Gao, “Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling,” Sensors, vol. 14, no. 12, pp. 23137–23158, 2014. View at Publisher · View at Google Scholar
  • Adrian-Valentin Nedelcu, Mihai Machedon-Pisu, Mihai Duguleana, and Doru Talaba, “Pervasive Radio Mapping of Industrial Environments Using a Virtual Reality Approach,” The Scientific World Journal, vol. 2015, pp. 1–14, 2015. View at Publisher · View at Google Scholar
  • Xiao-Yang Liu, Shuchin Aeron, Vaneet Aggarwal, Xiaodong Wang, and Min-You Wu, “Adaptive Sampling of RF fingerprints for Fine-grained Indoor Localization,” IEEE Transactions on Mobile Computing, pp. 1–1, 2015. View at Publisher · View at Google Scholar
  • Shuchin Aeron, Vaneet Aggarwal, Xiao-Yang Liu, Xiaodong Wang, and Min-You Wu, “Tensor completion via adaptive sampling of tensor fibers: Application to efficient indoor RF fingerprinting,” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2016-, pp. 2529–2533, 2016. View at Publisher · View at Google Scholar
  • Suining He, S.-H. Gary Chan, and Bo Yang, “Updating wireless signal map with Bayesian compressive sensing,” MSWiM 2016 - Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems, pp. 310–317, 2016. View at Publisher · View at Google Scholar
  • Xinglin Piao, Yong Zhang, Tingshu Li, Yongli Hu, Hao Liu, Ke Zhang, and Yun Ge, “RSS Fingerprint Based Indoor Localization Using Sparse Representation with Spatio-Temporal Constraint,” Sensors, vol. 16, no. 11, pp. 1845, 2016. View at Publisher · View at Google Scholar
  • Noura Baccar, Mootez Jridi, and Ridha Bouallegue, “Adaptive Neuro-Fuzzy Location Indicator in Wireless Sensor Networks,” Wireless Personal Communications, vol. 97, no. 2, pp. 3165–3181, 2017. View at Publisher · View at Google Scholar