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ScaleLoc: A Scalable Real-Time Locating System for Moving Targets

  • Si-Young Ahn
  • Jun-Hyung Kim
  • Jun-Seok Park
  • Ha-Ryoung Oh
  • Yeong Rak Seong
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 206)

Abstract

In this paper an inexpensive, low-power and scalable location system for mobile objects under indoor environments, ScaleLoc, is proposed and its performance is evaluated by simulation. IEEE 802.15.4a (Chirp spread spectrum) protocol is adopted and the location of a target is determined with trilateration. As the number of mobile objects increases, the performance may deteriorate due to communication collisions. For graceful degradation and system scalability, an arbitration scheme is adopted. Sufficient information for localization such as the node-ids and locations of reference nodes is supplied by arbitration nodes.

Keywords

RTLS location estimation simulation discrete event system 

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References

  1. 1.
    Ni, L.M., Liu, Y., Lau, Y.C., Patil, A.P.: LANDMARC: Indoor Locating Sensing Using Active RFID. In: The First IEEE International Conference on Pervasive Computing and Communications, pp. 407–415 (2003)Google Scholar
  2. 2.
    Priyantha, N.B., Chakraborty, A., Balakrishnan, H.: The Cricket Location-Support System. In: 6th ACM International Conference on Mobile Computing and Networking, Boston (2000)Google Scholar
  3. 3.
    Bahl, P., Padmanabhan, V.N.: RADAR: An In-Building RF-based User Location and Tracking System. In: 9th Annual Joint Conference of the IEEE Coumputer and Communication Societies, vol. 2, pp. 775–784 (2000)Google Scholar
  4. 4.
    Fontana, R.J., Gunderson, S.J.: Ultra-wideband precision asset location system. In: Digest of IEEE conference on Ultra Wideband Systems and Technologies, pp. 147–150 (2002)Google Scholar
  5. 5.
    Harter, A., Hopper, A., Steggles, P., Ward, A., Webster, P.: The Anatomy of a Context-Aware Application. Jounal of Wireless Networks 8, 187–197 (2002)CrossRefzbMATHGoogle Scholar
  6. 6.
    Mehmood, H., Tripathi, N.K., Tipdecho, T.: Indoor Positioning System Using Artificial Neural Network. J. Computer. Sci. 6, 1219–1225 (2010)CrossRefGoogle Scholar
  7. 7.
    IEEE Computer Society, Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (WPANs) Amendment 1: Add Alternate PHYs (2007)Google Scholar
  8. 8.
    Zeigler, B.P.: Multifacetted Modeling and Discrete Event Simulation. Academic Press, Lodon (1984)zbMATHGoogle Scholar
  9. 9.
    Kim, T.G.: DEVSim++ User’s Manual: C++ Based Simulation with Hierarchical Modular DEVS Model, Computer Engineering Lab. Dept. of Electrical Enginerring, KAIST (1994)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Si-Young Ahn
    • 1
  • Jun-Hyung Kim
    • 2
  • Jun-Seok Park
    • 1
  • Ha-Ryoung Oh
    • 1
  • Yeong Rak Seong
    • 1
  1. 1.Department of Electrical EngineeringKookmin UniversitySeoulKorea
  2. 2.The graduate school of educationKyunghee UniversitySeoulKorea

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