International Journal of Intelligent Information Systems

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Tracking Algorithm Based on Channel Propagating Characteristic in Wireless Sensor Network

Received: 16 October 2016    Accepted:     Published: 17 October 2016
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Abstract

In order to improve the mobile node tracking accuracy of indoor environment, a mobile node tracking algorithm based on channel propagating characteristic is proposed. Channel propagation model is established by actual measurement and fitting analysis in three different scenarios, which included closed corridor, open corridor and laboratory. The anchor node periodically measures the RSSI of the beacons from mobile node, to estimate the coordinates of the mobile node location, speed and direction by using the Maximum Likelihood method and channel model. The simulation results prove that the proposed scheme is effective and can meet the real-time requirements of indoor localization.

DOI 10.11648/j.ijiis.20160505.12
Published in International Journal of Intelligent Information Systems (Volume 5, Issue 5, October 2016)
Page(s) 65-70
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Wireless Sensor Network, Propagating Characteristic of Channel, Tracking, Maximum Likelihood

References
[1] NasrullahPirzada, M YunusNayan,FazliSubhan, etal. Device-free localization technique for indoor detection and tracking of human body: A survey. International Conference on Innovation, Management and Technology Research (ICIMTR). Malaysia: Procedia-Social and Behavioral Sciences,2014,129:pp.422-429.
[2] PiotrWawrzyniak,SławomirHausman,PiotrKorbel.Area based indoor tracking algorithm based on sequence detection and maximum likelihood metrics.2016 10th European Conference on Antennas and Propagation, 2016,pp.1-3.
[3] Nikolas Kantas,Sumeetpal S. Singh,Arnaud Doucet.Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks.IEEE Transactions on Signal Processing.2012,pp.5308-5047.
[4] Sonia A. Bhaskar.Localization From Connectivity: A 1-bit Maximum Likelihood Approach.IEEE/ACM Transactions on Networking.2015,pp.1-15.
[5] K.J.Mao, J.B.Wu. Indoor Localization Algorithm for NLOS Environment. Acta Electronica Sinica, 2016,pp.1174-1179.
[6] G.A. Gonçalo. Novel Approach to Indoor Location Systems Using Propagation Models in WSNS. International Journal on Advances in Networks and Services, 2015, 4(2),pp.251-256.
[7] P. Bahl,V. N. Padmanabhan.RADAR: An In-building RF-Based user Location and Tracking System.in Proc. IEEE INFOCOM, 2000,pp.775-784.
[8] Y.Z.WANG. Research and Application of RFID Location Algorithm based on Reference tags. Journal on Communications, 2010, 31(2),pp. 86-92.
[9] J. Ying. Boundary Virtual Reference Tags Location Algorithm Based on RFID. Computer Engineering,2011,37(6), pp.274-276.
[10] A. Robert, D. Tummala,Xinrong Li. Indoor Propagation Modeling at2.4 GHZ for IEEE 802.11.The Sixth lasted International Multi-Conference on Wireless and Optical Communications Wireless Networks and Emerging Technologies.July3-5 2006.
[11] PASSMARK SOFT WARE.Wireless Mon.2016,03.10.http://www.wirelessmon.com.
[12] M.Milner, Network Stumbler Version 0.40.2001-2004,Netstumbler, http://www.netstumbler.com.
Author Information
  • School of Information Technology, Jimei University, Xiamen, China; Chengyi Colledge, Jimei University, Xiamen, China

  • School of Information Technology, Jimei University, Xiamen, China

  • School of Information Technology, Jimei University, Xiamen, China

  • School of Information Technology, Jimei University, Xiamen, China

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  • APA Style

    Ying Li, Yiliang Wu, Nina Hu, Guangsong Yang. (2016). Tracking Algorithm Based on Channel Propagating Characteristic in Wireless Sensor Network. International Journal of Intelligent Information Systems, 5(5), 65-70. https://doi.org/10.11648/j.ijiis.20160505.12

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    ACS Style

    Ying Li; Yiliang Wu; Nina Hu; Guangsong Yang. Tracking Algorithm Based on Channel Propagating Characteristic in Wireless Sensor Network. Int. J. Intell. Inf. Syst. 2016, 5(5), 65-70. doi: 10.11648/j.ijiis.20160505.12

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    AMA Style

    Ying Li, Yiliang Wu, Nina Hu, Guangsong Yang. Tracking Algorithm Based on Channel Propagating Characteristic in Wireless Sensor Network. Int J Intell Inf Syst. 2016;5(5):65-70. doi: 10.11648/j.ijiis.20160505.12

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  • @article{10.11648/j.ijiis.20160505.12,
      author = {Ying Li and Yiliang Wu and Nina Hu and Guangsong Yang},
      title = {Tracking Algorithm Based on Channel Propagating Characteristic in Wireless Sensor Network},
      journal = {International Journal of Intelligent Information Systems},
      volume = {5},
      number = {5},
      pages = {65-70},
      doi = {10.11648/j.ijiis.20160505.12},
      url = {https://doi.org/10.11648/j.ijiis.20160505.12},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.ijiis.20160505.12},
      abstract = {In order to improve the mobile node tracking accuracy of indoor environment, a mobile node tracking algorithm based on channel propagating characteristic is proposed. Channel propagation model is established by actual measurement and fitting analysis in three different scenarios, which included closed corridor, open corridor and laboratory. The anchor node periodically measures the RSSI of the beacons from mobile node, to estimate the coordinates of the mobile node location, speed and direction by using the Maximum Likelihood method and channel model. The simulation results prove that the proposed scheme is effective and can meet the real-time requirements of indoor localization.},
     year = {2016}
    }
    

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  • TY  - JOUR
    T1  - Tracking Algorithm Based on Channel Propagating Characteristic in Wireless Sensor Network
    AU  - Ying Li
    AU  - Yiliang Wu
    AU  - Nina Hu
    AU  - Guangsong Yang
    Y1  - 2016/10/17
    PY  - 2016
    N1  - https://doi.org/10.11648/j.ijiis.20160505.12
    DO  - 10.11648/j.ijiis.20160505.12
    T2  - International Journal of Intelligent Information Systems
    JF  - International Journal of Intelligent Information Systems
    JO  - International Journal of Intelligent Information Systems
    SP  - 65
    EP  - 70
    PB  - Science Publishing Group
    SN  - 2328-7683
    UR  - https://doi.org/10.11648/j.ijiis.20160505.12
    AB  - In order to improve the mobile node tracking accuracy of indoor environment, a mobile node tracking algorithm based on channel propagating characteristic is proposed. Channel propagation model is established by actual measurement and fitting analysis in three different scenarios, which included closed corridor, open corridor and laboratory. The anchor node periodically measures the RSSI of the beacons from mobile node, to estimate the coordinates of the mobile node location, speed and direction by using the Maximum Likelihood method and channel model. The simulation results prove that the proposed scheme is effective and can meet the real-time requirements of indoor localization.
    VL  - 5
    IS  - 5
    ER  - 

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