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Position Estimation for Goods Tracking System Using Mobile Detectors

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3681))

Abstract

Determining physical location of indoor objects is one of the key issues in ubiquitous computing. Although there are many proposals to provide physical location tracking, those have some restrictions such as a dependence on the type and size of objects and a trade-off between position accuracy and the number of sensing devices. In this paper we present a hierarchical approach to conquer these restrictions using mobile detectors. We describe a system called MobiTra that estimates the position of indoor any and all objects using mobile detectors’ detection histories. The effect of position estimation is evaluated through prototype testbed and simulation.

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References

  1. Want, R., Hopper, A., Falcao, V., Gibbons, J.: The Active Badge Location System. ACM Transactions on Information Systems 40(1), 91–102 (1992)

    Article  Google Scholar 

  2. Harter, A., Hopper, A., Steggles, P., Ward, A., Webster, P.: The Anatomy of a Context-Aware Application. IEEE Computer 34(8), 50–56 (2001)

    Google Scholar 

  3. Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The Cricket location-support system. In: ACM/IEEE MobiCom 2000, pp. 32–43 (2000)

    Google Scholar 

  4. Bahl, P., Padmanabhan, V.N.: RADAR: An In-Building RF-Based User Location and Tracking System. In: INFOCOM 2000, pp. 775–784 (2000)

    Google Scholar 

  5. Hightower, J., Borriella, G.: Location Systems for Ubiquitous Computing. IEEE Computer 34, 57–66 (2001)

    Google Scholar 

  6. Bulusu, N., Heidemann, J., Estrin, D.: GPS-less low cost outdoor localization for very small devices. IEEE Personal Communications 7(5), 28–34 (2000)

    Article  Google Scholar 

  7. Beutel, J.: Geolocation in a Pico Radio Environment. Master Thesis, UC Berkeley (2000)

    Google Scholar 

  8. Krumm, J.: Probabilistic Inferencing for Location. In: Krumm, J. (ed.) Workshop on Location-Aware Computing, pp. 25–27 (2003)

    Google Scholar 

  9. Fox, D., Hightower, J., Liao, L., Schultz, D., Boriello, G.: Bayesian Filtering for Location Estimation. IEEE Pervasive Computing 2(3), 24–33 (2003)

    Article  Google Scholar 

  10. RF Code, Inc., http://rfcode.com/ProductsFrame.asp

  11. Broch, J., Maltz, D., Johnson, D., Hu, Y.C., Jetcheva, J.: A performance comparison of multi-hop wireless ad hoc network routing protocols. ACM IEEE Mobicom, 85–97 (1998)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Shizuoka University, 3-5-1 Johoku, Hamamatsu-shi, Shizuoka, 432-8011, Japan

    Hiroshi Mineno, Kazuo Hida, Miho Mizutani & Tadanori Mizuno

  2. Mitsubishi Electric Corporation, 5-1-1 Ofuna, Kamakura-shi, Kanagawa, 247-8501, Japan

    Naoto Miyauchi

  3. Nagoya Works, Mitsubishi Electric Corporation, 5-1-14 Yadaminami, Higashiku, Nagoya-shi, Aichi, 461-8670, Japan

    Kazuhiro Kusunoki

  4. Kyushu University, 6-1 Kasuga-Koen, Kasuga-shi, Fukuoka, 816-8580, Japan

    Akira Fukuda

Authors
  1. Hiroshi Mineno
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  2. Kazuo Hida
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  3. Miho Mizutani
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  4. Naoto Miyauchi
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  5. Kazuhiro Kusunoki
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  6. Akira Fukuda
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  7. Tadanori Mizuno
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, Moulsecoomb, BN2 4GJ, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Mineno, H. et al. (2005). Position Estimation for Goods Tracking System Using Mobile Detectors. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552413_62

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  • DOI: https://doi.org/10.1007/11552413_62

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28894-7

  • Online ISBN: 978-3-540-31983-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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