An accurate prediction method for moving target localization and tracking in wireless sensor networks

Viani, 2013, Wireless architectures for heterogeneous sensing in smart home applications: concepts and real implementation, Proc. IEEE, 101, 2381, 10.1109/JPROC.2013.2266858 Kaiwen, 2016, An intelligent home appliance control-based on wsn for smart buildings, 282 Viani, 2017, Low-cost wireless monitoring and decision support for water saving in agriculture, IEEE Sens. J., 17, 4299, 10.1109/JSEN.2017.2705043 Malekian, 2017, Design and implementation of a wireless obd ii fleet management system, IEEE Sens. J., 17, 1154, 10.1109/JSEN.2016.2631542 Wen, 2015, Fine-grained indoor localization using single access point with multiple antennas, IEEE Sens. J., 15, 1538, 10.1109/JSEN.2014.2364121 Wan, 2016, Time delay estimation of co-frequency signals in tdoa localization based on wsn, 1 Dashti, 2015, Rssi localization with gaussian processes and tracking, 1 Luo, 2017, Pallas: self-bootstrapping fine-grained passive indoor localization using wifi monitors, IEEE Trans. Mob. Comput., 16, 466, 10.1109/TMC.2016.2550452 Cao, 2017, A novel relocation method for simultaneous localization and mapping based on deep learning algorithm, Comput. Electr. Eng., 10.1016/j.compeleceng.2017.03.015 Yan, 2015, An improved multihop-based localization algorithm for wireless sensor network using learning approach, Comput. Electr. Eng., 48, 247, 10.1016/j.compeleceng.2015.03.029 Zhu, 2016, Localization algorithm for large scale wireless sensor networks based on fast-svm, Wireless Person. Commun. Ahmadi, 2015, Rssi-based localization in wireless sensor networks using regression tree, 1548 Assaf, 2014, Range-free localization algorithm for anisotropic wireless sensor networks, 1 Lee, 2014, Raps: reliable anchor pair selection for range-free localization in anisotropic networks, IEEE Commun. Lett., 18, 1403, 10.1109/LCOMM.2014.2332156 Tan, 2006, On the practical issues in hop count localization of sensors in a multihop network, 1, 358 S. Kim, S. Kavuri, M. Lee, Deep Network with Support Vector Machines, Springer, Berlin, Heidelberg, pp. 458–465. doi:10.1007/978-3-642-42054-2_57. Ifthekhar, 2016, Neural network-based indoor positioning using virtual projective invariants, Wireless Person. Commun., 86, 1813, 10.1007/s11277-016-3177-0 Morelande, 2008, Bayesian node localisation in wireless sensor networks, 2545 Merhi, 2009, A lightweight collaborative fault tolerant target localization system for wireless sensor networks, IEEE Trans. Mob. Comput., 8, 1690, 10.1109/TMC.2009.81 Dias, 2013, Cooperative target tracking using decentralized particle filtering and rss sensors, IEEE Trans. Signal Process., 61, 3632, 10.1109/TSP.2013.2262276 Domuta, 2016, Adaptive kalman filter for target tracking in the uwb networks, 1 Faisal, 2014, Robot localization using extended kalman filter with infrared sensor, 356 c. Janapati, 2015, Enhanced mechanism for localization in wireless sensor networks using pso assisted extended kalman filter algorithm (pso-ekf), 1 George, 2014, Improved target tracking using feedback in kalman smoother for targets moving in co-ordinated turn with unknown turn rate, 281 Ahmadi, 2016, An improved anchor selection strategy for wireless localization of wsn nodes, 108 Perez-Vega, 1997, A simple approach to a statistical path loss model for indoor communications, 1, 617 Xia, 2016, Object-tracking based on particle filter using particle swarm optimization with density estimation, 4151 Ahmadi, 2017, Learning ensemble strategy for static and dynamic localization in wireless sensor networks, Int. J. Netw. Manag., 27, e1979, 10.1002/nem.1979