Skip to main content

Finding Mobile Data: Efficiency vs. Location Inaccuracy

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4698))

Abstract

A token is hidden in one out of n boxes following some known probability distribution and then all the boxes are locked. The goal of a searcher is to find the token in at most D ≤ n rounds by opening as few boxes as possible, where in each round any set of boxes may be opened. We design and analyze strategies for a searcher who does not know the exact values of the probabilities associated with the locked boxes. Instead, the searcher might know only the complete order or a partial order of the probabilities, or ranges in which these probabilities fall. We show that with limited information the searcher can find the token without opening significantly more boxes compared to a searcher who has full knowledge. This problem is equivalent to finding mobile users (tokens) in cellular networks (boxes) and finding data (tokens) in sensor networks (boxes).

This research was made possible by NSF Grant number 6531300.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Madhavapeddy, S., Basu, K., Roberts, A.: Adaptive paging algorithms for cellular systems. Kluwer Academic Publishers, Norwell, MA, USA (1996)

    Google Scholar 

  2. Goodman, D.J., Krishnan, P., Sugla, B.: Minimizing queuing delays and number of messages in mobile phone location. Mobile Networks and Applications 1(1), 39–48 (1996)

    Article  Google Scholar 

  3. Krishnamachari, B., Gau, R.-H., Wicker, S.B., Haas, Z.J.: Optimal sequential paging in cellular wireless networks. Wirel. Netw. 10(2), 121–131 (2004)

    Article  Google Scholar 

  4. Bar-Noy, A., Feng, Y.: Efficiently paging mobile users under delay constraints. In: Proc. of 26th IEEE Conf. on Computer Communications, May 2007, pp. 1910–1918. IEEE Computer Society Press, Los Alamitos (2007)

    Chapter  Google Scholar 

  5. Jain, R., Lin, Y.B., Mohan, S.: Location Straegies for Personal Communications Services. Mobile Communications Handbook, ch.18. CRC Press, Boca Raton, USA (1996)

    Google Scholar 

  6. Akyildiz, I., McNair, J., Ho, J., Uzunalioglu, H., Wang, W.: Mobility management in next-generation wireless systems. In: Proceedings of the IEEE, vol. 87, pp. 1347–1384. IEEE Computer Society Press, Los Alamitos (1999)

    Google Scholar 

  7. Bar-Noy, A., Mansour, Y.: Competitive on-line paging strategies for mobile users under delay constraints. In: Proceedings of the 23rd ACM Symposium on Principles of Distributed Computing, pp. 256–265. ACM Press, New York (2004)

    Google Scholar 

  8. Rose, C., Yates, R.: Location uncertainty in mobile networks: a theoretical framework. Communications Magazine, IEEE 35(2), 94–101 (1997)

    Article  Google Scholar 

  9. Wang, W., Akyildiz, I.F., Stuber, G.: An optimal partition algorithm for minimization of paging costs. IEEE Comm. Letters 5(2), 42–45 (2001)

    Google Scholar 

  10. Bar-Noy, A., Malewicz, G.: Establishing wireless conference calls under delay constraints. J. Algorithms 51(2), 145–169 (2004)

    Article  MATH  Google Scholar 

  11. Rose, C., Yates, R.: Ensemble polling strategies for increased paging capacity in mobile communication networks. Wirel. Netw. 3(2), 159–167 (1997)

    Article  Google Scholar 

  12. Gau, R.-H., Haas, Z.J.: Concurrent search of mobile users in cellular networks. IEEE/ACM Trans. Netw. 12(1), 117–130 (2004)

    Article  Google Scholar 

  13. Minch, R.P.: Privacy issues in location-aware mobile devices. In: Proceedings of the 37th Hawaii International Conference on System Sciences (2004)

    Google Scholar 

  14. Gruteser, M., Liu, X.: Protecting privacy in continuous location-tracking applications. IEEE Security and Privacy Magazine 02(2), 28–34 (2004)

    Article  Google Scholar 

  15. Hoh, B., Gruteser, M.: Protecting location privacy through path confusion. In: Proceedings of the 1st International Conference on Security and Privacy for Emerging Areas in Communications Networks, pp. 194–205 (2005)

    Google Scholar 

  16. Zipf, G.K.: Human Behaviour and the Principle of Least Effort. Addison-Wesley, London, UK (1949)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Lars Arge Michael Hoffmann Emo Welzl

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Bar-Noy, A., Klukowska, J. (2007). Finding Mobile Data: Efficiency vs. Location Inaccuracy. In: Arge, L., Hoffmann, M., Welzl, E. (eds) Algorithms – ESA 2007. ESA 2007. Lecture Notes in Computer Science, vol 4698. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75520-3_12

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-75520-3_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75519-7

  • Online ISBN: 978-3-540-75520-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics