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The Application of a Node-Localization Algorithm of Wireless Sensor Network in Intelligent Transportation System

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Web-Age Information Management (WAIM 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7419))

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Abstract

The emergence of Intelligent Transportation System (ITS) has brought a revolution to the vehicle transportation which makes human, vehicles, roads united and harmonic and establishes a wider range, fully efficient, real time and accurate information manage system. In this paper, intelligent transportation technology of node-localization in wireless sensor network (WSN) has been proposed and a framework of ITS is designed and realized which provides a system model for the application of ITS.

Supported by the Science Technology Research Project of Heilongjiang educational office under Grant No.11551349.

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References

  1. Li, L., Liu, Y.-A., Tang, B.-H.: SNMS: an intelligent transportation system network architecture based on WSN and P2P network. The Journal of China Universities of Posts and Telecommunications 14(1), 65–70 (2007)

    Article  MathSciNet  Google Scholar 

  2. Wang, S.: Cooperative driving based on inter-ve-hicle communications experimental platform and algorithm. In: IEEE Conference Oil IlLS, Beijing, China, pp. 5073–5078 (2006)

    Google Scholar 

  3. European Commission. European transport policy for 2010: Time to decide, EB/OL (2011), http://ec.europa.eu/transport/rsap_en.html

  4. Hung, C., Yarali, A.: Wireless Services and Intelligent Vehicle Transportation Systems. In: CCECE 2011, pp. 63–68 (2011)

    Google Scholar 

  5. Murray, C.: The Biggest Thing in Safety (cover story). Design News 63(8), 58–60 (2008)

    Google Scholar 

  6. Bahl, P., Padmanabhan, V.N.: RADAR: an In-building RF-based user location and tracking system. In: Proceedings of the Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2000, vol. 2, pp. 775–784. IEEE (2000)

    Google Scholar 

  7. Girod, L., Estrin, D.: Robust Range Estimation Using Acoustic and Multimodal Sensing. In: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 3, pp. 1312–1320 (2001)

    Google Scholar 

  8. Savvides, A., Han, C.-C., Strivastava, M.B.: Dynamic Fine-Grained Localization in Ad-Hoc Networks of Sensors. In: Proceedings of the 7th Annual International Conference on Mobile Computing and Networking, Pages, pp. 166–179 (2001)

    Google Scholar 

  9. Bahl, P., Padmanabhan, V.N.: RADAR: An In-Building RF-Based User Location and Tracking System. In: IEEE InfoCom 2000, vol. 2, pp. 775–784 (March 2000)

    Google Scholar 

  10. Doucet, A., Godsill, S., Andrieu, C.: On Sequential Monte Carlo Sampling Methods for Bayesian Filtering. Statistics and Computing 10(3), 197–208 (2000)

    Article  Google Scholar 

  11. Nagpal, R., Shrobe, H.E., Bachrach, J.: Organizing a Global Coordinate System from Local Information on an Ad Hoc Sensor Network. In: Zhao, F., Guibas, L.J. (eds.) IPSN 2003. LNCS, vol. 2634, pp. 333–348. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  12. Caballero, F., Merino, L., Gil, P., Maza, I., Ollero, A.: A probabilistic framework for entire WSN localization using a mobile robot. Robotics and Autonomous Systems 56(10), 798–806 (2008)

    Article  Google Scholar 

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Tan, L., Chen, L. (2012). The Application of a Node-Localization Algorithm of Wireless Sensor Network in Intelligent Transportation System. In: Bao, Z., et al. Web-Age Information Management. WAIM 2012. Lecture Notes in Computer Science, vol 7419. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33050-6_7

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  • DOI: https://doi.org/10.1007/978-3-642-33050-6_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33049-0

  • Online ISBN: 978-3-642-33050-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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