Skip to main content

The n-Core Polaris Real-Time Locating System at the EvAAL Competition

  • Conference paper

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 309))

Abstract

One of the most important technologies used to provide context-awareness in Ambient Assisted Living environments is Wireless Sensor Networks (WSNs). Wireless Sensor Networks comprise an ideal technology to develop Real-Time Locating Systems (RTLS) aimed at indoor environments, where existing global navigation satellite systems do not work correctly. In this sense, Nebusens and the BISITE Research Group of the University of Salamanca have developed n-Core Polaris, a new indoor and outdoor RTLS based on ZigBee WSNs and an innovative set of locating and automation engines. n-Core Polaris is based on the n-Core platform, a hardware and software platform intended for developing and deploying easily and quickly a wide variety of WSN applications based on the ZigBee standard. This paper describes the n-Core Polaris system, as well as the experiments made during the first EvAAL Competition on Indoor Localization and Tracking, whose results demonstrate the effectiveness of n-Core Polaris in indoor environments.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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. Ambient Assisted Living Joint Programme, http://www.aal-europe.eu (accessed October 2011)

  2. Nerguizian, C., Despins, C., Affès, S.: Indoor Geolocation with Received Signal Strength Fingerprinting Technique and Neural Networks. In: de Souza, J.N., Dini, P., Lorenz, P. (eds.) ICT 2004. LNCS, vol. 3124, pp. 866–875. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Tapia, D.I., de Paz, J.F., Rodríguez, S., Bajo, J., Corchado, J.M.: Multi-Agent System for Security Control on Industrial Environments. International Transactions on System Science and Applications Journal 4(3), 222–226 (2008)

    Google Scholar 

  4. Ding, B., Chen, L., Chen, D., Yuan, H.: Application of RTLS in Warehouse Management Based on RFID and Wi-Fi. In: 4th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, pp. 1–5 (2008)

    Google Scholar 

  5. Stelios, M.A., Nick, A.D., Effie, M.T., et al.: An indoor localization platform for ambient assisted living using UWB. In: Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia, pp. 178–182. ACM, Linz (2008)

    Chapter  Google Scholar 

  6. Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Trans. Syst. Man Cybern. Part C-Appl. Rev. 37, 1067–1080 (2007)

    Article  Google Scholar 

  7. Nebusens, n-Core® Polaris: An innovative Real-Time Locating System that Features an Outstanding Precision, Flexibility and Automation Integration (2012), http://www.n-core.info/polaris (accessed April 2012)

  8. Nebusens, n-Core®: A Faster and Easier Way to Create Wireless Sensor Networks (2011), http://www.n-core.info (accessed April 2012)

  9. AAL Open Association, Evaluating AAL Systems through Competitive Benchmarking (2011), http://evaal.aaloa.org (accessed October 2011)

  10. AALOA, AAL Open Association (2010), http://www.aaloa.org (accessed April 2012)

  11. CIAMI Living Lab., Experimental Research Center in Applications and Services for Ambient Intelligence (2009), http://www.ciami.es (accessed April 2012)

  12. Kaemarungsi, K., Krishnamurthy, P.: Modeling of indoor positioning systems based on location fingerprinting. In: INFOCOM 2004. Twenty-third Annual Joint Conference of the IEEE Computer and Communications Societies, vol. 2, pp. 1012–1022 (2004)

    Google Scholar 

  13. García, Ó., Alonso, R.S., Tapia, D.I., Guevara, F., de la Prieta, F., Bravo, R.A.: A Maritime Piracy Scenario for the n-Core Polaris Real-Time Locating System. In: Omatu, S., Paz Santana, J.F., González, S.R., Molina, J.M., Bernardos, A.M., Rodríguez, J.M.C. (eds.) Distributed Computing and Artificial Intelligence. AISC, vol. 151, pp. 601–608. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

  14. De Paz, J.F., Tapia, D.I., Alonso, R.S., Pinzón, C.I., Bajo, J., Corchado, J.M.: Mitigation of the Ground Reflection Effect in Real-Time Locating Systems Based on Wireless Sensor Networks by Using Artificial Neural Networks. In: Knowledge and Information Systems. Springer, London (2012), doi:10.1007/s10115-012-0479-8

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tapia, D.I. et al. (2012). The n-Core Polaris Real-Time Locating System at the EvAAL Competition. In: Chessa, S., Knauth, S. (eds) Evaluating AAL Systems Through Competitive Benchmarking. Indoor Localization and Tracking. EvAAL 2011. Communications in Computer and Information Science, vol 309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33533-4_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33533-4_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33532-7

  • Online ISBN: 978-3-642-33533-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics