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A New Positioning Algorithm in Mobile Network

  • Conference paper
Pervasive Computing and the Networked World (ICPCA/SWS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7719))

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Abstract

In face of an increasingly competitive mobile communications market, how to keep the customers is the most important factor for operators and enterprises. The development of enterprise cannot be separated from customers. In general, clients always require more stable and better quality of network services, and more rapid response to their demand. The operators keep of making customers’ more satisfactory by a deal of services. In this paper, we study how to position the mobile terminal by analyzing user communication data which includes the base stations, the communication signal data, user information, and so on. The text shows the reasons that affect the positioning accuracy of mobile network. At last we propose a fast locating algorithm about the mobile terminals based on multiple base stations. The experimental results of current mobile network data show the efficiency of our method.

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References

  1. http://www.miit.gov.cn/nll293472/nll505629/nll506554/nll517486/nll919487/nll920090/12031345.html

  2. Wanghao: Research on Social Behavior Model and Optimization Algorithms for Mobile Communication Networks. Huazhong University of Science & Technology, Wuhan 430074, P.R China (2010)

    Google Scholar 

  3. Yibo: Cluster analysis and applied research in the mobile communications business data mining analysis. Hunan University 3 (2008)

    Google Scholar 

  4. Hybrid TOA/TDOA Based Unified Kalman Tracking Algorithm for Wireless Networks. Department of Electrical Engineering National Chiao Tung University Hsinchu. IEEE, Taiwan (2010)

    Google Scholar 

  5. Lee, J.: Tracking Algorithm for Wireless Networks, Mixed-integer nonlinear Programming: some modeling and solution issues. IBM Journal of Research and Develop 51(3/4), 489–497 (2007)

    Article  Google Scholar 

  6. Giaglis, G.M.: Mobile Location Service Category. Mobile & Wireless Computing, 2590–2594 (2009)

    Google Scholar 

  7. Han, J., Kamber, M.: Data Mining Concepts and Techniques, 2nd edn. China Machine Press (2008)

    Google Scholar 

  8. Chakraborty, G., Bista, B.B., Chakrabort, D., et al.: Location management in PCN by movement prediction of the mobile host. In: Proc. of IEEE International Symposium on Industrial Electronics, ISIE 2002, vol. 1, pp. 78–83 (2002)

    Google Scholar 

  9. Lee, J.-K., Hou, J.C.: Modeling Steady-state and Transient Behaviors of User Mobility: Formulation, Analysis, and Application. In: Mobihoc 2006, pp. 202–211 (2006)

    Google Scholar 

  10. Borrel, V., de Amirim, M.D., et al.: A Preferential Attachment Gathering Mobility Model. IEEE Communications Letters 10(1), 900–902 (2005)

    Article  Google Scholar 

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Teng, S., Huang, S., Huo, Y., Teng, L., Zhang, W. (2013). A New Positioning Algorithm in Mobile Network. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_41

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  • DOI: https://doi.org/10.1007/978-3-642-37015-1_41

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37014-4

  • Online ISBN: 978-3-642-37015-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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