References(37)
[1]
L. Yang, Y. Guo, T. Liu, C. Wang, and Y. Liu, Perceiving the slightest tag motion beyond localization, IEEE Transactions on Mobile Computing, vol. 14, no. 11, pp. 2363-2375, 2015.
[2]
T. Chen, Z. Yang, Y. Liu, D. Guo, and X. Luo, Localization-oriented network adjustment in wireless ad hoc and sensor networks, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 1, pp. 146-155, 2014.
[3]
Y. Wang, X. Wang, D. Wang, and D. P. Agrawal, Range-free localization using expected hop progress in wireless sensor networks, IEEE Transactions on Parallel and Distributed Systems, vol. 20, no. 10, pp. 1540-1552, 2009.
[4]
L. Shangguan, Z. Yang, A. X. Liu, Z. Zhou, and Y. Liu, Stpp: Spatial-temporal phase profiling-based method for relative rfid tag localization, IEEE/ACM Transactions on Networking (TON), vol. 25, no. 1, pp. 596-609, 2017.
[5]
Z. Yin, C. Wu, Z. Yang, and Y. Liu, Peer-to-peer indoor navigation using smartphones, IEEE Journal on Selected Areas in Communications, vol. 35, no. 5, pp. 1141-1153, 2017.
[6]
Q. Lin and Y. Guo, Accurate indoor navigation system using human-item spatial relation, Tsinghua Science and Technology, vol. 21, no. 5, pp. 521-537, 2016.
[7]
I. Constandache, X. Bao, M. Azizyan, and R. R. Choudhury, Did you see Bob?: Human localization using mobile phones, in Proceedings of the Sixteenth Annual International Conference on Mobile Computing and Networking, 2010, pp. 149-160.
[8]
H. Wang, S. Sen, A. Elgohary, M. Farid, M. Youssef, and R. R. Choudhury, No need to war-drive: Unsupervised indoor localization, in Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services, 2012, pp. 197-210.
[9]
O. Rashid, P. Coulton, and R. Edwards, Implementing location based information/advertising for existing mobile phone users in indoor/urban environments, in International Conference on Mobile Business, 2005, pp. 377-383.
[10]
R. H. Wong, J. Xiao, and S. L. Joseph, An adaptive data association for robotic slam in search and rescue operation, in International Conference on Mechatronics and Automation, 2011, pp. 997-1003.
[11]
R. Gao, Y. Tian, F. Ye, G. Luo, K. Bian, Y. Wang, T. Wang, and X. Li, Sextant: Towards ubiquitous indoor localization service by photo-taking of the environment, IEEE Transactions on Mobile Computing, vol. 15, no. 2, pp. 460-474, 2016.
[12]
C. Wu, Z. Yang, and Y. Liu, Smartphones based crowdsourcing for indoor localization, IEEE Transactions on Mobile Computing, vol. 14, no. 2, pp. 444-457, 2015.
[13]
C. Wu, Z. Yang, Y. Xu, Y. Zhao, and Y. Liu, Human mobility enhances global positioning accuracy for mobile phone localization, IEEE Transactions on Parallel and Distributed Systems, vol. 26, no. 1, pp. 131-141, 2015.
[14]
J. Xiong and K. Jamieson, Arraytrack: A fine-grained indoor location system, Usenix, 2013.
[15]
W. Xi, J. Zhao, X.-Y. Li, K. Zhao, S. Tang, X. Liu, and Z. Jiang, Electronic frog eye: Counting crowd using wifi, in Infocom, 2014 Proceedings IEEE, 2014, pp. 361-369.
[16]
P. Bahl and V. N. Padmanabhan, Radar: An in-building rf-based user location and tracking system, Proceedings of IEEE INFOCOM, vol. 2, pp. 775-784, 2000.
[17]
M. Youssef and A. Agrawala, The horus wlan location determination system, in Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, 2005, pp. 205-218.
[18]
C. Wu, Z. Yang, Y. Liu, and W. Xi, Will: Wireless indoor localization without site survey, IEEE Transactions on Parallel and Distributed Systems, vol. 24, no. 4, pp. 839-848, 2013.
[19]
D. L. Lee and Q. Chen, A model-based wifi localization method, in Proceedings of the 2nd International Conference on Scalable Information Systems, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2007, p. 40.
[20]
X. Zheng, J. Yang, Y. Chen, and H. Xiong, An adaptive framework coping with dynamic target speed for device-free passive localization, IEEE Transactions on Mobile Computing, vol. 14, no. 6, pp. 1138-1150, 2015.
[21]
Z. Yang, C. Wu, Z. Zhou, X. Zhang, X. Wang, and Y. Liu, Mobility increases localizability: A survey on wireless indoor localization using inertial sensors, ACM Computing Surveys (Csur), vol. 47, no. 3, p. 54, 2015.
[22]
A. Rai, K. K. Chintalapudi, V. N. Padmanabhan, and R. Sen, Zee: Zero-effort crowdsourcing for indoor localization, in Proceedings of the 18th Annual International Conference on Mobile Computing and Networking, 2012, pp. 293-304.
[23]
M. Azizyan, I. Constandache, and R. Roy Choudhury, Surroundsense: Mobile Phone Localization Via Ambience Fingerprinting, in Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, 2009, pp. 261-272.
[24]
Y.-C. Cheng, Y. Chawathe, A. LaMarca, and J. Krumm, Accuracy characterization for metropolitan-scale wi-fi localization, in Proceedings of the 3rd International Conference on Mobile Systems, Applications, and Services, 2005, pp. 233-245.
[25]
L. M. Ni, Y. Liu, Y. C. Lau, and A. P. Patil, Landmarc: Indoor location sensing using active rfid, Wireless Networks, vol. 10, no. 6, pp. 701-710, 2004.
[26]
J. Han, H. Ding, C. Qian, W. Xi, Z. Wang, Z. Jiang, L. Shangguan, and J. Zhao, Cbid: A customer behavior identification system using passive tags, IEEE/ACM Transactions on Networking, vol. 24, no. 5, pp. 2885-2898, 2016.
[27]
J. Han, C. Qian, X. Wang, D. Ma, J. Zhao, W. Xi, Z. Jiang, and Z. Wang, Twins: Device-free object tracking using passive tags, IEEE/ACM Transactions on Networking, vol. 24, no. 3, pp. 1605-1617, 2016.
[28]
J. Han, C. Qian, P. Yang, D. Ma, Z. Jiang, W. Xi, and J. Zhao, Geneprint: Generic and accurate physical-layer identification for uhf rfid tags, IEEE/ACM Transactions on Networking (TON), vol. 24, no. 2, pp. 846-858, 2016.
[29]
K. Chintalapudi, A. PadmanabhaIyer, and V. N. Padmanabhan, Indoor localization without the pain, in Proceedings of the Sixteenth Annual International Conference on Mobile Computing and Networking, 2010, pp. 173-184.
[30]
H. Lim, L.-C. Kung, J. C. Hou, and H. Luo, Zero-configuration indoor localization over IEEE 802.11 wireless infrastructure, Wireless Networks, vol. 16, no. 2, pp. 405-420, 2010.
[31]
M. Youssef, A. Youssef, C. Rieger, U. Shankar, and A. Agrawala, Pinpoint: An Asynchronous Time-Based Location Determination System, in Proceedings of the 4th International Conference on Mobile Systems, Applications and Services, 2006, pp. 165-176.
[32]
N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, The cricket location-support system, in Proceedings of the 6th Annual International Conference on Mobile Computing and Networking, 2000, pp. 32-43.
[33]
J. Bruck, J. Gao, and A. A. Jiang, Localization and routing in sensor networks by local angle information, in Proceedings of the 6th International Symposium on Mobile ad hoc Networking and Computing, Urbana-Champaign, IL, USA, 2005, pp. 181-192.
[34]
M. Uddin and T. Nadeem, Spyloc: A Light Weight Localization System for Smartphones, in Sensing, Communication, and Networking (SECON), 2014 Eleventh Annual IEEE International Conference on, 2014, pp. 72-80.
[35]
F. Li, C. Zhao, G. Ding, J. Gong, C. Liu, and F. Zhao, A reliable and accurate indoor localization method using phone inertial sensors, in Proceedings of the 2012 ACM Conference on Ubiquitous Computing, 2012, pp. 421-430.
[36]
D.-K. Cho, M. Mun, U. Lee, W. J. Kaiser, and M. Gerla, Autogait: A mobile platform that accurately estimates the distance walked, in Proceedings of IEEE PerCom, 2010, pp. 116-124.
[37]
S. Yang, P. Dessai, M. Verma, and M. Gerla, Freeloc: Calibration-free crowdsourced indoor localization, in INFOCOM, 2013 Proceedings IEEE, 2013, pp. 2481-2489.