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Emergent Behaviour in Collaborative Indoor Localisation: An Example of Self-organisation in Ubiquitous Sensing Systems

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Architecture of Computing Systems - ARCS 2011 (ARCS 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6566))

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Abstract

We investigate emergent effects in collaborative indoor localisation as an example of self-organisation in ubiquitous sensing systems. We consider pedestrian dead reckoning (PDR) systems that collaborate to improve their location estimate when two users are detected to be close to each other. In a simulation based on empirically determined parameters we discover two qualitatively different regimes of ‘location awareness’. We show that as the frequency of collaborative improvements increases the system makes a transition from a state where the error of each device is unbounded to a state where the averaged maximum error is constant, i.e., location awareness suddenly emerges even though the individual mobile devices are by themselves not capable of exact location and have a tendency to accumulate error without bounds.

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References

  1. Feliz, R., Zalama, E., Garca–Bermejo, J.G.: Pedestrian tracking using inertial sensors. Journal of Physical Agents 3(1), 35–43 (2009)

    Google Scholar 

  2. Fischer, C., Gellersen, H.: Location and navigation support for emergency responders: A survey. IEEE Pervasive Computing 9, 38–47 (2010)

    Article  Google Scholar 

  3. Hightower, J., Borriello, G.: Location systems for ubiquitous computing. Computer 34(8), 57–66 (2001)

    Article  Google Scholar 

  4. Merkle, D., Middendorf, M., Scheidler, A.: Organic Computing and Swarm Intelligence. Swarm Intelligence, 253–281 (2008)

    Google Scholar 

  5. Müller-Schloer, C., Sick, B.: Emergence in organic computing systems: Discussion of a controversial concept. Autonomic and Trusted Computing, 1–16 (2006)

    Google Scholar 

  6. Pirkl, G., Stockinger, K., Kunze, K., Lukowicz, P.: Adapting magnetic resonant coupling based relative positioning technology for wearable activitiy recogniton. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 47–54. Springer, Heidelberg (2008)

    Google Scholar 

  7. Schmeck, H.: Organic Computing-A New Vision for Distributed Embedded Systems. In: Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing, pp. 201–203. IEEE Computer Society, Los Alamitos (2005)

    Chapter  Google Scholar 

  8. Youssef, M.A., Agrawala, A., Shankar, U., et al.: WLAN location determination via clustering and probability distributions. In: Pervasive Computing and Communications, pp. 143–150. IEEE, Los Alamitos (2003)

    Google Scholar 

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© 2011 Springer-Verlag Berlin Heidelberg

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Kloch, K., Pirkl, G., Lukowicz, P., Fischer, C. (2011). Emergent Behaviour in Collaborative Indoor Localisation: An Example of Self-organisation in Ubiquitous Sensing Systems. In: Berekovic, M., Fornaciari, W., Brinkschulte, U., Silvano, C. (eds) Architecture of Computing Systems - ARCS 2011. ARCS 2011. Lecture Notes in Computer Science, vol 6566. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19137-4_18

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  • DOI: https://doi.org/10.1007/978-3-642-19137-4_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19136-7

  • Online ISBN: 978-3-642-19137-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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