[1] E. Cayirci, H. Tezcan, Y. Dogan, and V. Coskun, “Wireless sensor networks for underwater survelliance systems”, Ad Hoc Networks, vol. 4, pp. 431-446, 2006.
[2] S. Santini, B. Ostermaier, and A. Vitaletti, “First experiences using wireless sensor networks for noise pollution monitoring”, presented at the Proceedings of the workshop on Real-world wireless sensor networks, Glasgow, Scotland, 2008.
[3] H.-W. Tsai, C.-P. Chu, and T.-S. Chen, “Mobile object tracking in wireless sensor networks”, Computer Communications, vol. 30, pp. 1811-1825, 6/8/ 2007.
[4] A. Ribeiro, G. B. Giannakis, and S. I. Roumeliotis, “SOI-KF: Distributed Kalman Filtering With Low-Cost Communications Using the Sign of Innovations”, IEEE Transactions on Signal Processing, vol. 54, pp. 4782-4795, 2006.
[5] A. Dhital, P. Closas, and C. Fernandez-Prades, “Bayesian filtering for indoor localization and tracking in wireless sensor networks”, EURASIP Journal on Wireless Communications and Networking, vol. 2012, pp. 1-13, 2012.
[6] M. S. Arulampalam, S. Maskell, N. Gordon, and T. Clapp, “A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking”, IEEE Transactions on Signal Processing, vol. 50, pp. 174-188, 2002.
[7] P. M. Djuric, M. Vemula, and M. F. Bugallo, “Target Tracking by Particle Filtering in Binary Sensor Networks”, IEEE Transactions on Signal Processing, vol. 56, pp. 2229-2238, 2008.
[8] Y. Huang, W. Liang, H.-b. Yu, and Y. Xiao, “Target tracking based on a distributed particle filter in underwater sensor networks”, Wireless Communications and Mobile Computing, vol. 8, pp. 1023-1033, 2008.
[9] S. Sarkka, “Bayesian Filtering and Smoothing”, Cambridge University Press, 2013.
[10] H. Q. Liu, H. C. So, F. K. W. Chan, and K. W. K. Lui, “Distributed particle filter for target tracking in sensor networks”, Progress In Electromagnetics Research C, vol. 11, pp. 171-182, 2009.
[11] K. Achutegui, L. Martino, J. Rodas, C. J. Escudero, and J. Miguez, “A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data”, in Control Applications, (CCA) & Intelligent Control, (ISIC), 2009 IEEE, 2009, pp. 1702-1707.
[12] O. Hlinka, F. Hlawatsch, and P. M. Djuric, “Distributed particle filtering in agent networks: A survey, classification, and comparison”, IEEE Signal Processing Magazine, vol. 30, pp. 61-81, 2013.
[13] A. Oracevic and S. Ozdemir, “A survey of secure target tracking algorithms for wireless sensor networks”, in Proceedings of the World Congress on Computer Applications and Information Systems (WCCAIS ’14), pp. 1–6, IEEE, Hammamet, Tunisia, January 2014.
[14] O. Demigha, W.-K. Hidouci, and T. Ahmed, “On energy efficiency in collaborative target tracking in wireless sensor network: a review”, IEEE Communications Surveys and Tutorials, vol. 15, no. 3, pp. 1210–1222, 2013.
[15] A. Ez-Zaidi, S. Rakrak, “A Comparative Study of Target Tracking Approaches in Wireless Sensor Networks”, Journal of Sensors, vol. 2016, p. 11, 2016.
[16] M. W. Khan, N. Salman, A. Ali, A. M. Khan, and A. H. Kemp, “A comparative study of target tracking with Kalman filter, extended Kalman filter and particle filter using received signal strength measurements”, in Emerging Technologies (ICET), 2015 International Conference on. IEEE, 2015.
[17] B. Jiang, B. Ravindran, “Completely Distributed Particle Filters for Target Tracking in Sensor Networks”, IEEE International Parallel & Distributed Processing Symposium (IPDPS), pp. 334-344, 2011.
[18] O. Hlinka, O. Sluciak, F. Hlawatsch, P. Djuric, M. Rupp, “Distributed Gaussian particle filtering using likelihood consensus”, in: International Conference on Acoustics, Speech and Signal Processing, pp. 3756–3759, May 2011.
[19] O. Hlinka, F. Hlawatsch, P. Djuric, “Distributed particle filtering in agent networks”, IEEE Signal Process. Mag. pp. 61-81 (January) (2013).
[20] Claudio J. Bordin, Marcelo G. S. Bruno, “Cooperative bling equalization of frequency-selective channels in sensor networks using decentralized particle filtering”, in: 42nd Asilomar Conference on Signals, Systems and Computers, pp. 1198–1201, October 2008.
[21] Mark Coates, “Distributed particle filters for sensor networks”, in: The International Conference on Information Processing in Sensor Networks, (IPSN), pp. 99–107, April 2004.
[22] O. Hlinka, P. Djuric, F. Hlawatsch, "Consensus-based distributed Particle Filtering with distributed proposal adaptation", IEEE Trans. Signal Process., vol 62, pp. 3029–3041, 2014.
[23] T. Ghirmai, "Distributed Particle Filter for Target Tracking: With Reduced Sensor Communications", Sensors, 16, 1454, 2016.
[24] J. Read, K. Achutegui, and J. Miguez, “A distributed particle filter for nonlinear tracking in wireless sensor networks”, Signal Processing, vol. 98, pp. 121-134, 2014.
[25] A. Doucet, N. d. Freitas, and N. Gordon, “Sequential Monte Carlo Methods in Practice” Springer, 2001.
[26] B. Ristic, S. Arulampalam, and N. Gordon, “Beyond the Kalman Filter: Particle Filters for Tracking Applications”, Artech House, 2004.
[27] R. E. Kalman, “A New Approach to Linear Filtering and Prediction Problems”, Journal of Basic Engineering, vol. 82, pp. 35-45, 1960.
[28] A. Bain and D. Crisan, “Fundamentals of Stochastic Filtering”, Springer, 2009.
[29] O. Cappe, S. J. Godsill, and E. Moulines, “An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo”, Proceedings of the IEEE, vol. 95, pp. 899-924, 2007.
[30] Djuric, x, P. M., J. H. Kotecha, Z. Jianqui, H. Yufei, et al., “Particle filtering”, IEEE Signal Processing Magazine, vol. 20, pp. 19-38, 2003.
[31] L. Tiancheng, M. Bolic, and P. M. Djuric, “Resampling Methods for Particle Filtering: Classification, implementation, and strategies”, IEEE Signal Processing Magazine, vol. 32, pp. 70-86, 2015.
[32] M. Bolic, P. M. Djuric, and H. Sangjin, “Resampling algorithms and architectures for distributed particle filters”, IEEE Transactions on Signal Processing, vol. 53, pp. 2442-2450, 2005.
[33] J. Miguez, “Analysis of parallelizable resampling algorithms for particle filtering”, Signal Processing, vol. 87, pp. 3155-3174, 2007.
[34] C. C. Burges, “A Tutorial on Support Vector Machines for Pattern Recognition”, Data Mining and Knowledge Discovery, vol. 2, pp. 121-167, 1998/06/01 1998.
[35] https://www.csie.ntu.edu.tw/~cjlin/libsvm.
[36] C.-c. Chang and C.-J. Lin, “LIBSVM: a library for support vector machines”, ACM Transactions on Intelligent Systems and Technology, vol. 2, 2011.
[37] C.-w. Hsu, C.-c. Chang, and C.-j. Lin, “A practical guide to support vector classification”, 2010.
