Skip to main content

Advertisement

SpringerLink
Log in

Challenges of eWALL Wireless Interoperability

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

Due to development of different technologies there has been significant improvement in quality of life. As a result of that, average person’s lifetime duration has been increased. That triggers the problem of independent living of senior citizens. One of the main concerns of the world today is how to enable senior citizens to live independently. As a response to that, systems like eWALL are being developed. eWALL for Active Long Living is a FP7 funded project and it aims to develop system which will enable elderly people to live independently. These systems consist of a large number of sensors which make wireless sensor network. In this paper, different wireless technologies that can be used for communication in systems that are designed to support independent living of elderly people, have been described. The most important focus is at wireless personal area network technologies, like ZigBee, Bluetooth, Bluetooth Low Energy and wireless local area network technologies (e.g., Wi-Fi). There are many obstacles in designing wireless sensor network and most of them concern energy efficiency and interoperability of different technologies that are being used for communication. The main challenge in the current technology world is tremendous increase of use of various wireless devices and technologies, which can cause relatively high interference, so that the wireless devices can stop working. Using cognitive radio in solving the interoperability problem of different wireless technologies in wireless sensor networks has become interesting research topic. In this paper, research on interoperability of different wireless technologies is presented. Using Spectrum Engineering Advanced Monte Carlo Analysis Tool wireless sensors network in home environment was modelled. Interference based on devices layout and activity was investigated. Also, possible improvements that can be made with cognitive radio are investigated and obtained results are given in this paper.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15

Similar content being viewed by others

References

  1. Mitola III, J., & Maguire, G. Q. (1999). Cognitive radio: Making software radios more personal. In IEEE personal communications, August.

  2. Akan, O. B., Karli, O. B., & Ergul, O. (2009). Cognitive radio sensor networks. IEEE Network, 23(4), 34–40.

    Article  Google Scholar 

  3. The eWALL Consortium, D2.1. (2015). Preliminary user and system requirements, eWALL for active long living FP7 project.

  4. Mobiserv EU FP7 Project. http://www.mobiserv.info/.

  5. Long Lasting Memories (EU FP7). http://www.longlastingmemories.eu.

  6. ISISEMD EU CIP ICTPSP project (HP, AAL). http://www.isisemd.eu/.

  7. Dem@Care. http://www.demcare.eu/.

  8. IS-ACTIVE (EU, AAL). http://www.is-active.eu/.

  9. Just Checking (Just Checking Ltd). http://www.justchecking.co.uk/.

  10. ZigBee Alliance, ZigBee Specifications. (2007). http://www.zigbee.org/.

  11. Bluetooth pages. http://www.bluetooth.com/Pages/what-is-bluetooth-technology.aspx.

  12. Specification of the Bluetooth System, Covered Core Package Version: 4.0, Bluetooth SIG, July 2010.

  13. Zhang, T., Lu, J., Hu, F., & Hao, Q. (2014). Bluetooth low energy for wearable sensor-based healthcare systems. In Healthcare innovation conference (HIC), 2014 IEEE, Seattle, WA, (pp. 251–254).

  14. Tabish, R., Ben Mnaouer, A., Touati, F., & Ghaleb, A. M. (2013). A comparative analysis of BLE and 6LoWPAN for U-HealthCare applications. GCC conference and exhibition (GCC), 7th IEEE, Doha (pp. 286–291).

  15. Guo, Z., Harris, I. G., Tsaur, L. f., & Chen, X. (2015). An on-demand scatternet formation and multi-hop routing protocol for BLE-based wireless sensor networks. In Wireless communications and networking conference (WCNC), 2015 IEEE, New Orleans, LA (pp. 1590–1595).

  16. IEEE 802.11 Wi-Fi Standards. http://www.radio-electronics.com/info/wireless/wi-fi/ieee-802-11-standards-tutorial.php.

  17. van Nee, R., & Prasad, R. (2000). OFDM for wireless multimedia communications. Norwood, MA: Artech House, Inc.

    Google Scholar 

  18. Mendes, T. D. P., Godina, R., Rodrigues, E. M. G., Matias, J. C. O., & Catalo, J. P. S. (2015). Smart home communication technologies and applications: Wireless protocol assessment for home area network resources. Energies, 8, 7279–7311. doi:10.3390/en8077279.

    Article  Google Scholar 

  19. Ghayvat, H., Mukhopadhyay, S., Gui, X., & Suryadevara, N. (2015). WSN- and IOT-based smart homes and their extension to smart buildings. Sensors, 15, 10350–10379. doi:10.3390/s150510350.

    Article  Google Scholar 

  20. Kim, W. H., Lee, S., & Hwang, J. (2011). Real-time energy monitoring and controlling system based on Zigbee sensor networks. Procedia Computer Science, 5, 794–797.

    Article  Google Scholar 

  21. Kelly, S. D. T., Suryadevara, N., & Mukhopadhyay, S. C. (2013). Towards the implementation of IoT for environmental condition monitoring in homes. IEEE Sensors Journal, 13, 3846–3853.

    Article  Google Scholar 

  22. Suryadevara, N., Gaddam, A., Rayudu, R., & Mukhopadhyay, S. (2012). Wireless sensors network based safe home to care elderly people: Behavior detection. Sensors and Actuators A: Physical, 186, 277–283.

    Article  Google Scholar 

  23. Al-Qutayri, M. A., & Jeedella, J. S. Integrated wireless technologies for smart homes applications. In M. A. Al-Qutayri (Ed.), InTech. ISBN:978-953-307-050-6, http://www.intechopen.com/books/smart-home-systems/integrated-wireless-technologies-forsmart-homes-applications.

  24. Challoo, R., Oladeinde, A., Yilmazer, N., Ozcelik, S., & Challoo, L. (2012). An overview and assessment of wireless technologies and co-existence of ZigBee, Bluetooth and Wi-Fi devices. Procedia Computer Science, 12, 386–391.

    Article  Google Scholar 

  25. Manfredi, S. (2014). Congestion control for differentiated healthcare service delivery in emerging heterogeneous wireless body area networks. IEEE Wireless Communications, 21, 81–90.

    Article  Google Scholar 

  26. Viani, F., Robol, F., Polo, A., Rocca, P., Oliveri, G., & Massa, A. (2013). Wireless architectures for heterogeneous sensing in smart home applications: Concepts and real implementation. Proceedings of the IEEE, 101, 2381–2396.

    Article  Google Scholar 

  27. IEEE 802.15: Wireless personal area networks (PANs). http://standards.ieee.org/about/get/802/802.15.html. Accessed on 1 January 2015.

  28. Rohokale, V., Prasad, R., Prasad, N., & Prasad, R. (2011). Interoperability, standardization and governance in the era of internet of things (IoT). In Internet of things global technological and societal trends. Aalborg: River Publisher.

  29. Higuera, J., & Polo, J. (2010). Contribution toward interoperability of wireless sensor networks based on IEEE1451 in environmental monitoring applications. 2010 Barcelona Forum on Ph.D. Research in communications, electronics and signal processing (pp. 27–28).

  30. SEAMCAT Handbook. http://www.cept.org/eco/ecc-tools-andservices/seamcat.

  31. Extended Hata and Hata-SRD models. http://tractool.seamcat.org/wiki/Manual/PropagationModels/ExtendedHata.

  32. Seamcat software tool. http://www.seamcat.org/.

  33. SEAMCAT Manual on Cognitive Radio Simulation. http://tractool.seamcat.org/wiki/Manual/Scenario/CRS.

  34. On-line SEAMCAT manual. http://tractool.seamcat.org/wikilManual.

Download references

Author information

Authors and Affiliations

  1. Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia

    Antonija Marincic & Dina Simunic

  2. Center for TeleInfrastruktur, University of Aalborg, Aalborg, Denmark

    Ramjee Prasad

Authors
  1. Antonija Marincic
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Dina Simunic
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ramjee Prasad
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Antonija Marincic.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Marincic, A., Simunic, D. & Prasad, R. Challenges of eWALL Wireless Interoperability. Wireless Pers Commun 92, 87–105 (2017). https://doi.org/10.1007/s11277-016-3840-5

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-016-3840-5

Keywords

Search

Navigation