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On mobile wireless tags

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Abstract

The subject of the article refers to services of mobile networks related to a context. We are examining the questions of the development of mobile services employing wireless tags. In addition to this, a new model of usage (application) of Core Bluetooth devices is offered. In our model Bluetooth devices act as tags and are used for reference (binding) and the subsequent context-dependent determination of data available to mobile users. Mobile phones, as well as already existing devices with Bluetooth support, can be used as such dynamic tags. In this case a single mobile application is sufficient for coverage of all stages of the life cycle of contextual services. The application provides a presentation of a tag (tags) and the binding of informational content to these tags, as well as the viewing of data bound to other tags. The possible application fields are applications for retail and service organizations and context-dependent services for Smart Cities.

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References

  1. Namiot, D.E. and Sneps-Sneppe, M., Proximity as a service, in Proc. 2nd Baltic Congress on Future Internet Commun. (BCFIC), 2012, p. 2.

    Google Scholar 

  2. Namiot, D.E., Personal Bluetooth tegs, Int. J. Open Inform. Technol., 2014, vol. 2, no. 3, pp. 35–39.

    Google Scholar 

  3. Namiot, D.E., Mobil Bluetooth tegs, Int. J. Open Inform. Technol., 2014, vol. 2, no. 5, pp. 17–23.

    Google Scholar 

  4. Gomez, C., Oller, J., and Paradells, J., Overview and evaluation of Bluetooth low energy: An emerging low-power wireless technology, Sensors 2012, vol. 12, pp. 11734–11753. doi: 10.3390/s120911734

    Article  Google Scholar 

  5. Dilger, D.E., Inside iOS 7: iBeacons enhance apps’ location awareness via Bluetooth LE, Apple Insider, 2013.

    Google Scholar 

  6. Lerner, T., International comparisons, in Mobile Payment, Wiesbaden: Springer–Verlag, 2013, pp. 137–142.

    Chapter  Google Scholar 

  7. AltBeacon, 2014. http://altbeacon.org/

  8. Namiot, D. and Sneps-Sneppe, M., Context-aware data discovery, in Proc. 12th Int. Conf. On Intelligence in Next Generation Networks (ICIN), 2012 pp. 134–141.

    Google Scholar 

  9. Namiot, D. and Sneps-Sneppe, M., Geofence and network proximity, Proc. 13th Int. Conf. on Internet of Things, Smart Spaces, and Next Generation Networking (NEW2AN), vol. 8121, Berlin: Springer–Verlag, 2013, pp. 117–127.

    Google Scholar 

  10. Namiot, D. and SnepsSneppe, M., CAT–cars as tags, Proc. 7th Int. Workshop on Communication Technologies for Vehicles (Nets4Cars-Fall), 2014, pp. 50–53. doi: 10.1109/Nets4CarsFall.2014.7000912

    Google Scholar 

  11. Namiot, D. and Sneps-Sneppe, M., On the analysis of statistics of mobile visitors, Autom. Cont. Compt. Sci., 2014, vol. 48, pp. 150–158.

    Article  Google Scholar 

  12. Azizyan, M., Constandache, I., and Choudhurry, R.R., SurroundSense: Mobile phone localization via ambience fingerprinting, Proc. 15th Ann. Int. Conf. on Mobile Computing and Networking, 2009, pp. 261–272. doi: 10.1145/1614320.1614350

    Google Scholar 

  13. Namiot, D. and SnepsSneppe, M., Wireless Networks Sensors and Social Streams, Proc. 27th Int. Conf. on Workshop on Advanced Information Networking and Applications (WAINA), 2013, pp. 413–418. doi: 10.1109/WAINA

    Google Scholar 

  14. Cheng, Y., Chawathe, Y., Lamarca, A., and Krumm, J., Accuracy characterization for metropolitan–scale Wi-Fi localization, Proc. of MobiSys, 2005, pp. 233–245.

    Google Scholar 

  15. Stuart, A., The correlation between variate–values and ranks in samples from a continuous distribution, Brit. J. Statistical Psychol., 1954, vol. 7, pp. 37–44.

    Article  MathSciNet  Google Scholar 

  16. Kjaergaard, M.B., Wirz, M., Roggen, D., and Troster, G., Mobile sensing of pedestrian flocks in indoor environments using WiFi signals, Proc. IEEE Int. Conf. on Pervasive Compt. Commun. (PerCom), 2012, pp. 95–102.

    Google Scholar 

  17. Kepner, J., Arcand, W., Bergeron, W., Bliss, N., Bond, R., Byun, C., and Yee, C., Dynamic distributed dimensional data model (D4M) database and computation system, Proc. IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2012, pp. 5349–5352.

    Google Scholar 

  18. Sen, R., Farris, A., and Guerra, P., Benchmarking apache accumulo bigdata distributed table store using its continuous test suite, Proc. IEEE Int. Congress on Big Data (BigData Congress), 2013, pp. 334–341.

    Google Scholar 

  19. SnepsSneppe, M. and Namiot, D., Smart cities software: Customized messages for mobile subscribers, in Wireless Access Flexibility, Berlin: Springer–Verlag, 2013, pp. 25–36.

    Chapter  Google Scholar 

  20. Bluetooth Data P0ints. http://bdp.linkstore.ru, 2014.

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Author information

Authors and Affiliations

  1. Department of Computational Mathematics and Cybernetics, Moscow State University, Moscow, 119991, Russia

    D. Namiot

  2. The Institute of Mathematics and Computer Science, University of Latvia, Raina bulvaris 29, Riga, LV-1459, Latvia

    M. SnepsSneppe

Authors
  1. D. Namiot
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  2. M. SnepsSneppe
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Corresponding author

Correspondence to D. Namiot.

Additional information

Original Russian Text © D. Namiot, M. Sneps-Sneppe, 2015, published in Avtomatika i Vychislitel’naya Tekhnika, 2015, No. 3, pp. 49–59.

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Namiot, D., SnepsSneppe, M. On mobile wireless tags. Aut. Control Comp. Sci. 49, 159–166 (2015). https://doi.org/10.3103/S0146411615030062

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  • DOI: https://doi.org/10.3103/S0146411615030062

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