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High accuracy localisation scheme based on time-of-flight (TOF) and directional antenna in wireless sensor networks

High accuracy localisation scheme based on time-of-flight (TOF) and directional antenna in wireless sensor networks

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Node localisation technology is one of the most challenging and important issues in wireless sensor networks. This study puts forward a novel and high accuracy estimation method by combining distance-measuring with angle-measuring. An anchor node equipped with a directional antenna periodically sends beacons containing its position and antenna orientation to unknown nodes. By observing the variation of received signal strength indication values of beacons and the time of flight values, an unknown node can estimate the distance and orientation relative to the beacon node simultaneously. This study proposed an online modelling method to calibrate the shift of the estimated distance. Meanwhile, an angle estimation method is presented to avoid an ambiguous result, which is a new weighted curve fitting method based on least square principle. The experimental results show that the proposed ranging and angle measurement reaches a better localisation accuracy compared with the original ranging and angle method.

References

    1. 1)
      • K. Yang . (2014)
        1. Yang, K.: ‘Wireless sensor networks’ (Springer Press, 2014).
        .
    2. 2)
      • T. Hayes , F.H. Ali .
        2. Hayes, T., Ali, F.H.: ‘Location aware sensor routing protocol for mobile wireless sensor networks’, IET Wirel. Sensor Syst., 2016, 6, (2), pp. 4957.
        . IET Wirel. Sensor Syst. , 2 , 49 - 57
    3. 3)
      • S. Lanzisera , D. Zats , K.S.J. Pister .
        3. Lanzisera, S., Zats, D., Pister, K.S.J.: ‘Radio frequency time-of-flight distance measurement for low-cost wireless sensor localization’, IEEE Sens. J., 2011, 11, (3), pp. 837845.
        . IEEE Sens. J. , 3 , 837 - 845
    4. 4)
      • E.B. Mazomenos .
        4. Mazomenos, E.B., et al: ‘A two-way time of flight ranging scheme for wireless sensor networks’ (Springer, Berlin, Heidelberg, 2011).
        .
    5. 5)
      • B. Thorbjornsen .
        5. Thorbjornsen, B., et al: ‘Radio frequency (RF) time-of-flight ranging for wireless sensor networks’, Meas. Sci. Technol., 2010, 21, (3), p. 35202.
        . Meas. Sci. Technol. , 3 , 35202
    6. 6)
      • S. Lanzisera , D.T. Lin , K.S.J. Pister .
        6. Lanzisera, S., Lin, D.T., Pister, K.S.J.: ‘RF time of flight ranging for wireless sensor network localization’. Int. Workshop on Intelligent Solutions in Embedded Systems, 2006, pp. 112.
        . Int. Workshop on Intelligent Solutions in Embedded Systems , 1 - 12
    7. 7)
      • R. Jin .
        7. Jin, R., et al: ‘Experimental evaluation of reducing ranging-error based on receive signal strength indication in wireless sensor networks’, IET Wirel. Sensor Syst., 2015, 5, (5), pp. 228234.
        . IET Wirel. Sensor Syst. , 5 , 228 - 234
    8. 8)
      • F. Salim .
        8. Salim, F., et al: ‘Visualization of wireless sensor networks using Zigbee's received signal strength indicator (RSSI) for indoor localization and tracking’. IEEE Int. Conf. on Pervasive Computing and Communications Workshops, 2014, pp. 575580.
        . IEEE Int. Conf. on Pervasive Computing and Communications Workshops , 575 - 580
    9. 9)
      • J. Kuriakose . (2014)
        9. Kuriakose, J., et al: ‘A review on localization in wireless sensor networks’ (Springer International Publishing, 2014).
        .
    10. 10)
      • R. Kumarasiri .
        10. Kumarasiri, R., et al: ‘An improved hybrid RSS/TDOA wireless sensors localization technique utilizing Wi-Fi networks’, Mobile Netw. Appl., 2016, 21, (2), pp. 286295.
        . Mobile Netw. Appl. , 2 , 286 - 295
    11. 11)
      • H.J. Shao , X.P. Zhang , Z. Wang .
        11. Shao, H.J., Zhang, X.P., Wang, Z.: ‘Efficient closed-form algorithms for AOA based self-localization of sensor nodes using auxiliary variables’, IEEE Trans. Signal Process., 2014, 62, (10), pp. 25802594.
        . IEEE Trans. Signal Process. , 10 , 2580 - 2594
    12. 12)
      • Y.S. Lee , J.W. Park , L. Barolli .
        12. Lee, Y.S., Park, J.W., Barolli, L.: ‘A localization algorithm based on AOA for ad-hoc sensor networks’, Mobile Inf. Syst., 2012, 8, (1), pp. 6172.
        . Mobile Inf. Syst. , 1 , 61 - 72
    13. 13)
      • S.K. Meghani , M. Asif .
        13. Meghani, S.K., Asif, M.: ‘Localization of WSN node based on RTT TOA using ultra wide band & 802.15.4a channel’. IEEE Int. Conf. on Networking, Sensing and Control, 2014, pp. 380385.
        . IEEE Int. Conf. on Networking, Sensing and Control , 380 - 385
    14. 14)
      • S. Li , X. Ding , T. Yang .
        14. Li, S., Ding, X., Yang, T.: ‘Analysis of five typical localization algorithms for wireless sensor networks’, Wirel. Sensor Netw., 2015, 7, (4), pp. 2733.
        . Wirel. Sensor Netw. , 4 , 27 - 33
    15. 15)
      • S.M. Hosseinirad .
        15. Hosseinirad, S.M., et al: ‘On improving APIT algorithm for better localization in WSN’, J. AI Data Mining, 2013, 2, (2), pp. 97104.
        . J. AI Data Mining , 2 , 97 - 104
    16. 16)
      • G. Han .
        16. Han, G., et al: ‘The impacts of mobility models on DV-Hop based localization in mobile wireless sensor networks’, J. Netw. Comput. Appl., 2014, 42, (6), pp. 7079.
        . J. Netw. Comput. Appl. , 6 , 70 - 79
    17. 17)
      • S.C. Liang , L.H. Liao , Y.C. Lee .
        17. Liang, S.C., Liao, L.H., Lee, Y.C.: ‘Localization algorithm based on improved weighted centroid in wireless sensor networks’, J. Netw., 2014, 9, (1).
        . J. Netw. , 1
    18. 18)
      • R. Nagpal .
        18. Nagpal, R.: ‘Organizing a global coordinate system from local information on an amorphous computer’. AI Memo, 1999, pp. 303323.
        . AI Memo , 303 - 323
    19. 19)
      • R.J. Fontana , S.J. Gunderson .
        19. Fontana, R.J., Gunderson, S.J.: ‘Ultra-wideband precision asset location system’. 2002 IEEE Conf. on Ultra Wideband Systems and Technologies, 2002. Digest of Papers, 2002, pp. 147150.
        . 2002 IEEE Conf. on Ultra Wideband Systems and Technologies, 2002. Digest of Papers , 147 - 150
    20. 20)
      • Q. Zeng .
        20. Zeng, Q.: ‘Node localization algorithm based on UKF filtering with TOF’, 2013, pp. 582585.
        . , 582 - 585
    21. 21)
      • J.R. Jiang , C.M. Lin , Y.J. Hsu .
        21. Jiang, J.R., Lin, C.M., Hsu, Y.J.: ‘Localization with rotatable directional antennas for wireless sensor networks’. Int. Conf. on Parallel Processing Workshops, 2010, pp. 542548.
        . Int. Conf. on Parallel Processing Workshops , 542 - 548
    22. 22)
      • C. Zhang .
        22. Zhang, C., et al: ‘On improving the precision of localization with gross error removal’. Int. Conf. on Distributed Computing Systems Workshops, 2008, pp. 144149.
        . Int. Conf. on Distributed Computing Systems Workshops , 144 - 149
    23. 23)
      • G. Lu , B. Krishnamachari , C.S. Raghavendra .
        23. Lu, G., Krishnamachari, B., Raghavendra, C.S.: ‘Performance evaluation of the IEEE 802.15.4 Mac for low-rate low-power wireless networks’. IEEE Int. Conf. on Performance, Computing, and Communications, 2004, pp. 701706.
        . IEEE Int. Conf. on Performance, Computing, and Communications , 701 - 706
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