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On Improving the Energy Efficiency and Robustness of Position Tracking for Mobile Devices

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Abstract

An important feature of a modern mobile device is that it can position itself and support remote position tracking. To be useful, such position tracking has to be energy-efficient to avoid having a major impact on the battery life of the mobile device. Furthermore, tracking has to robustly deliver position updates when faced with changing conditions such as delays and changing positioning conditions. Previous work has established dynamic tracking systems, such as our EnTracked system, as a solution to address these issues. In this paper we propose a responsibility division for position tracking into sensor management strategies and position update protocols and combine the sensor management strategy of EnTracked with position update protocols, which enables the system to further reduce the power consumption with up to 268 mW extending the battery life with up to 36%. As our evaluation identify that classical position update protocols have robustness weaknesses we propose a method to improve their robustness. Furthermore, we analyze the dependency of tracking systems on the pedestrian movement patterns and positioning environment, and how the power savings depend on the power characteristics of different mobile devices.

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References

  1. Anand, M., Nightingale, E.B., Flinn, J.: Ghosts in the machine: Interfaces for better power management. In: Proceedings of the Second International Conference on Mobile Systems, Applications, and Services (2004)

    Google Scholar 

  2. Cai, Y., Xu, T.: Design, analysis, and implementation of a large-scale real-time location-based information sharing system. In: Proceedings of the 6th International Conference on Mobile Systems, Applications, and Services (2008)

    Google Scholar 

  3. Civilis, A., Jensen, C.S., Pakalnis, S.: Techniques for efficient road-network-based tracking of moving objects. IEEE Trans. Knowl. Data Eng. 17(5), 698–712 (2005)

    Article  Google Scholar 

  4. Farrell, T., Cheng, R., Rothermel, K.: Energy-efficient monitoring of mobile objects with uncertainty-aware tolerances. In: Proceedings of the Eleventh International Database Engineering and Applications Symposium (2007)

    Google Scholar 

  5. Kjærgaard, M.B.: Minimizing the power consumption of location-based services on mobile phones. IEEE Pervasive Computing

    Google Scholar 

  6. Kjærgaard, M.B.: A Taxonomy for Radio Location Fingerprinting. In: Proceedings of the Third International Symposium on Location and Context Awareness (2007)

    Google Scholar 

  7. Kjærgaard, M.B., Langdal, J., Godsk, T., Toftkjær, T.: Entracked: energy-efficient robust position tracking for mobile devices. In: Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services, pp. 221–234 (2009)

    Google Scholar 

  8. Kjærgaard, M.B., Treu, G., Linnhoff-Popien, C.: Zone-Based RSS Reporting for Location Fingerprinting. In: Proceedings of the 5th International Conference on Pervasive Computing, pp. 316–333. Springer, Heidelberg (2007)

    Google Scholar 

  9. Küpper, A., Treu, G.: Efficient proximity and separation detection among mobile targets for supporting location-based community services. Mobile Computing and Communications Review 10(3), 1–12 (2006)

    Article  Google Scholar 

  10. Leonhardi, A., Nicu, C., Rothermel, K.: A map-based dead-reckoning protocol for updating location information. In: Proceedings of 16th Int. Parallel and Distributed Processing Symposium (2002)

    Google Scholar 

  11. Leonhardi, A., Rothermel, K.: A comparison of protocols for updating location information. Cluster Computing 4(4), 355–367 (2001)

    Article  Google Scholar 

  12. wen You, C., Huang, P., Chu, H.-H., Chen, Y.-C., Chiang, J.-R., Lau, S.-Y.: Impact of sensor-enhanced mobility prediction on the design of energy-efficient localization. Ad Hoc Networks 6(8), 1221–1237 (2008)

    Article  Google Scholar 

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© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering

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Kjærgaard, M.B. (2012). On Improving the Energy Efficiency and Robustness of Position Tracking for Mobile Devices. In: Sénac, P., Ott, M., Seneviratne, A. (eds) Mobile and Ubiquitous Systems: Computing, Networking, and Services. MobiQuitous 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29154-8_14

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  • DOI: https://doi.org/10.1007/978-3-642-29154-8_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29153-1

  • Online ISBN: 978-3-642-29154-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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