L. Atzori, A. Iera, and G. Morabito, The internet of things: A survey, Comput. Netw, vol.54, pp.2787-2805, 2010.

C. Hennebert, B. Denis, F. Le-gall, B. Copigneaux, F. Clari et al., , 2018.

B. Dil, S. Dulman, and P. Havinga, Range-based localization in mobile sensor networks, Proceedings of the European Workshop on Wireless Sensor Networks, pp.164-179, 2006.

S. P. Singh and S. C. Sharma, Range free localization techniques in wireless sensor networks: A review, Procedia Comput. Sci, vol.57, pp.7-16, 2015.

F. Awad, A. Al-sadi, and A. Alsmady, Distributed and adaptive location identification system for mobile devices, EURASIP J. Adv. Signal Process, p.61, 2018.

E. Kaplan and C. Hegarty, Understanding GPS: Principles and Applications, 2005.

Y. Gu, M. Chen, F. Ren, J. Li, and . Hed, Handling environmental dynamics in indoor WiFi fingerprint localization, Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC), pp.1-6, 2016.

L. Sun, Z. W. Zheng, T. He, and F. Li, Multifloor Wi-Fi localization system with floor identification, Int. J. Distrib. Sens. Netw, vol.11, 2015.

J. Cheng, Z. Song, Q. Ye, and H. Du, MIL: A mobile indoor localization scheme based on matrix completion, Proceedings of the IEEE International Conference on Communications (ICC), pp.1-55, 2016.

Z. Yang and Y. Liu, Quality of trilateration: Confidence-based iterative localization, IEEE Trans. Parallel Distrib. Syst, vol.21, pp.631-640, 2010.

A. Norrdine, An algebraic solution to the multilateration problem, Proceedings of the 15th International Conference on Indoor Positioning and Indoor Navigation, p.2012, 2012.

N. A. Najib-yasmeen, N. Daud, A. Aziz, and R. Razali, 3-Dimensional wireless sensor network localization: A review, AIP Conf. Proc. 2016, 080029

P. Kumar, L. Reddy, and S. Varma, Distance measurement and error estimation scheme for RSSI based localization in Wireless Sensor Networks, Proceedings of the 5th IEEE Conference on Wireless Communication and Sensor Networks (WCSN), pp.1-4, 2009.

T. L. Nguyen and Y. Shin, Matrix completion optimization for localization in wireless sensor networks for intelligent IoT, Sensors, vol.16, 2016.

L. Nguyen, S. Kim, and B. Shim, Localization in Internet of Things network: Matrix completion approach, Proceedings of the Information Theory and Applications Workshop (ITA), pp.1-4, 2016.

L. Nguyen and B. Shim, Localization of Internet of Things network via Euclidean distance matrix completion, Proceedings of the IEEE/CIC International Conference on Communications in China (ICCC), pp.1-4, 2016.

Y. Zhu, A. Jiang, and H. K. Kwan, ADMM-Based Sensor Network Localization Using Low-Rank Approximation, IEEE Sens. J, vol.18, pp.8463-8471, 2018.

A. Y. Alfakih, A. Khandani, and H. Wolkowicz, Solving Euclidean distance matrix completion problems via semidefinite programming, Comput. Optim. Appl, vol.12, pp.13-30, 1991.

R. Ferreira, J. Xavier, J. P. Costeira, and V. Barroso, Newton algorithms for Riemannian distance related problems on connected locally symmetric manifolds, IEEE J. Sel. Top. Signal Process, vol.7, pp.634-645, 2013.

J. Cai, E. J. Candès, and Z. Shen, A singular value thresholding algorithm for matrix completion, SIAM J. Optim, vol.20, pp.1956-1982, 2010.

M. Chen, A. Ganesh, Z. Lin, Y. Ma, J. Wright et al., Fast convex optimization algorithms for exact recovery of a corrupted low-rank matrix, Coordinated Science Laboratory Report

Z. Lin, M. Chen, and Y. Ma, The augmented lagrange multiplier method for exact recovery of corrupted low-rank matrices

C. Liu, H. Shan, and B. Wang, Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence, Sensors, vol.18, 2018.

F. Xiao, W. Liu, Z. Li, L. Chen, and R. Wang, Noise-tolerant wireless sensor networks localization via multinorms regularized matrix completion, IEEE Trans. Veh. Technol, vol.67, pp.2409-2419, 2018.

M. Grant, S. Boyd, and Y. Ye, CVX: Matlab Software for Disciplined Convex Programming, 2008.

X. Guo, L. Chu, and X. Sun, Accurate localization of multiple sources using semidefinite programming based on incomplete range matrix, IEEE Sens. J, vol.16, pp.5319-5324, 2016.

X. Guo, L. Chu, and N. Ansari, Joint localization of multiple sources from incomplete noisy Euclidean distance matrix in wireless networks, Comput. Commun, vol.122, pp.20-29, 2018.

J. Chen and U. Mitra, Unimodality-Constrained Matrix Factorization for Non-Parametric Source Localization, IEEE Trans. Signal Process, vol.67, 2019.

L. T. Nguyen, J. Kim, S. Kim, and B. Shim, Localization of IoT Networks Via Low-Rank Matrix Completion, IEEE Trans. Commun, 2019.

H. Zhang, Y. Liu, and H. Lei, Localization from Incomplete Euclidean Distance Matrix: Performance Analysis for the SVD-MDS Approach, IEEE Trans. Signal Proces, vol.67, 2019.

W. S. Torgerson, Multidimensional scaling of similarity, Psychometrika, vol.30, pp.379-393, 1965.

M. Tsai, Path-loss and shadowing (large-scale fading). Nat. Taiwan Univ, 2011.

B. Recht, M. Fazel, and P. A. Parrilo, Guaranteed minimum-rank solutions of linear matrix equations via nuclear norm minimization. SIAM Rev, vol.52, pp.471-501, 2010.

E. J. Candès and B. Recht, Exact matrix completion via convex optimization, Found. Comput. Math, vol.9, p.717, 2009.

J. Duchi, E. Hazan, and Y. Singer, Adaptive subgradient methods for online learning and stochastic optimization, J. Mach. Learn. Res, vol.12, pp.2121-2159, 2011.

R. Sebastian, An overview of gradient descent optimization algorithms, 2016.

I. Sutskever, J. Martens, G. Dahl, and G. Hinton, On the importance of initialization and momentum in deep learning, Proceedings of the International Conference on Machine Learning, pp.1139-1147, 2013.

Y. Wang, S. Kim, and J. C. Principe, Comparison of TDNN training algorithms in brain machine interfaces, Proceedings of the IEEE International Joint Conference on Neural Networks (IJCNN'05), pp.2459-2462, 2005.

G. Hinton, N. Srivastava, and K. Swersky, Neural networks for machine learning lecture 6a overview of mini-batch gradient descent, vol.14, p.31, 2012.

D. P. Kingma, J. Ba, and . Adam, A method for stochastic optimization. arXiv, 2014.

J. Cheng, Q. Ye, H. Jiang, D. Wang, and C. Wang, STCDG: An efficient data gathering algorithm based on matrix completion for wireless sensor networks, IEEE Trans. Wirel. Commun, vol.12, pp.850-861, 2013.

K. Xie, X. Ning, X. Wang, D. Xie, J. Cao et al., Recover corrupted data in sensor networks: A matrix completion solution, IEEE Trans. Mob. Comput, vol.16, pp.1434-1448, 2017.

V. Strassen, Gaussian elimination is not optimal, Numer. Math, vol.13, pp.354-356, 1969.

A. Benoit, Algorithmique I-Cours et Travaux Dirigés L3

. Ecole-normale-supérieure-de-lyon, , 2009.

B. Iannazzo, On the Newton method for the matrix p th root, SIAM J. Matrix Anal. Appl, vol.28, pp.503-523, 2006.

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