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History aware Device-free Passive (DFP) Localisation

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A novel Device-free Passive (DfP) Localisation technique that monitors wireless communications and location dependent signal characteristics is presented in this paper. The human body contains more than 70% water which is causing variances in the Received Signal Strength Indicator (RSSI) measurements. DfP is a technique to detect a person without the need for any physical devices i.e. tags or sensors. This paper focuses on communication protocols such as Radiogram Protocol, Transmission Control Protocol (TCP), and User Datagram Protocol (UDP), outlining the possibility of using these protocols in Wireless Sensor Networks (WSNs). Histograms and historical data are new concepts in a DfP scenario which can improve the accuracy of location estimation in DfP Localisation.
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  • School of Computing and Intelligent Systems, Faculty of Computing and Engineering, University of Ulster, Derry, N. Ireland, BT48 7JL, UK, Deak-G@email.ulster.ac.uk
Bibliografia
  • [1] M. Moussa and M. Youssef, „Smart cevices for smart environments: Device-free passive detection in real environments,” International Conference on Pervasive Computing, 2009.
  • [2] M. Youssef, M. Mah, and A. Agrawala, „Challenges: device-free passive localization for wireless environments,” Proceedings of the 13th annual ACM international conference on Mobile computing and networking, pp. 222-229, 2007.
  • [3] A. E. Kosba, A. Abdelkader, and M. Youssef, „Analysis of a Device-Free Passive Tracking System in Typical Wireless Environments,” 2009 3rd International Conference on New Technologies, Mobility and Security, pp. 1-5, Dec. 2009.
  • [4] L. Ma, Z. Zhang, and X. Tan, „A Novel Through-Wall Imaging Method Using Ultra WideBand Pulse System,” 2006 International Conference on Intelligent Information Hiding and Multimedia, no. 3, pp. 147-150, Dec. 2006.
  • [5] J. Wilson and N. Patwari, „Through-Wall Tracking Using Variance-Based Radio Tomography Networks,” 2009, pp. 1-9.
  • [6] A. Nafarieh and J. How, „A Testbed for Localizing Wireless LAN Devices Using Received Signal Strength,” 6th Annual Communication Networks and Services Research Conference (cnsr 2008), pp. 481-487, 2008.
  • [7] G. Deak, K. Curran, and J. Condell, „Device-free Passive Localization using RSSI-based Wireless Network Nodes,” in PGNeT 2010 - The Eleventh Annual Postgraduate Symposium on the Convergence of Telecommunications, Networking and Broadcasting. School of Computing and Mathematical Sciences, Liverpool John Moores University (Liverpool JMU), UK, 2010, pp. 241-246.
  • [8] G. Deak, K. Curran, and J. Condell, „Wireless Sensor Networks - Smoothing Algorithms for RSSI-based Device-free Passive Localisation,” in The Tenth International Conference on Information Technology and Telecommunications (IT&T2010), 2010, pp. 99-107.
  • [9] G. Deak, K. Curran, and J. Condell, „Evaluation of Smoothing Algorithms for a RSSI-Based Device-Free Passive Localisation,” in Image Processing and Communications Challenges 2, ser. Advances in Soft Computing, R. Choras, Ed. Springer Berlin / Heidelberg, 2010, vol. 84, pp. 469-476.
  • [10] G. Deak, K. Curran, and J. Condell, „RSSI based Device-free Passive Localisation,” in Intel European Research and Innovation Conference (IERIC 2010), 2010, p. 163.
  • [11] G. Deak, K. Curran, and J. Condell, „Filters for RSSI-based measurements in a Device-free Passive Localisation Scenario,” International Journal on Image Processing & Commu-nications, vol. 15, no. 1, pp. 23-34, 2011.
  • [12] J. Krumm, „Ubiquitous Computing Fundamentals”. CRC Press, 2010.
  • [13] M. Youssef and A. Agrawala, „The Horus location determination system,” Wireless Networks, vol. 14, no. 3, pp. 357-374, Jan. 2007.
  • [14] R. Casas, a. Marco, J. J. Guerrero, and J. Falco, „Robust Estimator for Non-Line-of-Sight Error Mitigation in Indoor Localization,” EURASIP Journal on Advances in Signal Processing, vol. 2006, pp. 1-9, 2006.
  • [15] M. Valtonen, J. Maentausta, and J. Vanhala, „Tile-Track: Capacitive human tracking using floor tiles,” 2009 IEEE International Conference on Pervasive Computing and Communications, pp. 1-10, Mar. 2009.
  • [16] J. Krumm, S. Harris, B. Meyers, B. Brumitt, M. Hale, and S. Shafer, „Multi-camera multi-person tracking for EasyLiving,” In Proceedings of the Third Workshop on Visual Surveilance, pp. 3-10, 2000.
  • [17] Microsoft Research, „The new EasyLiving Project at Microsoft Research, Available: http://www.research.microsoft.com,” 2011. [On-line]. Available: „http://www.research, microsoft.com/”
  • [18] Oracle, „Sun SPOT World, Sun Spot - Programmer’s Manual (Release v6.0), Available: www.sunspotworld.com,” 2011. [Online]. Available: {www.sunspotworld.com}
  • [19] G. Xylomenos and G. Polyzos, „TCP and UDP performance over a wireless LAN,” IEEE INFO-COM ‘99. Conference on Computer Communications. Proceedings. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. The Future is Now (Cat. No.99CH36320), pp. 439-146 vol. 2, 1999.
  • [20] M. Degermark, M. Engan, B. Nordgren, and S. Pink, „Low-loss TCP/IP header compression for wireless networks,” Proceedings of the 2nd annual international conference on Mobile computing and networking - MobiCom ‘96, pp. 1-14, 1996.
  • [21] A. Dunkels, T. Voigt, and J. Alonso, „Making TCP/IP viable for wireless sensor networks,” in Proceedings of the First European Workshop on Wireless Sensor Networks (EWSN 2004), work-in-progress session, Berlin, Germany. Citeseer, 2004.
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Bibliografia
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bwmeta1.element.baztech-article-BAT5-0073-0018
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