Skip to main content
Log in

A 4-tiers architecture for mobile WBAN based health remote monitoring system

  • Published:
Wireless Networks Aims and scope Submit manuscript

Abstract

Nowadays, remote monitoring systems (RMS) attract much attention for their usefulness in many fields of application such as in medical or terrain monitoring, sport, military etc. Thereby, many projects have been initiated and developed especially in health domain defining thus different architectures. As the RMSs are heterogeneous, their system model requires rigorous connections between involved modules and a non-dependent architecture of application should offer many advantages. This paper proposes 4-tiers architecture for health RMS to allow mobility of mobile tiers. On the one hand, it includes a traffic classes mapping function between WBAN and peer-networks. On the other hand it proposes the implementation of a priority weighted round robin scheduling technique at the coordinator for emergency and medical data with also vertical handoff decision making algorithm to sustain the mobility, what is so far the first suggestion according to our knowledge. Results of analysis and simulations show the impact of this architecture on the system in terms of mobility, end-to-end delay in peer-networks and waiting time especially for time-sensitive data flows.

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

Access this article

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

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11

Similar content being viewed by others

References

  1. IEEE 802.15.6 Std. (2012). IEEE Standard for local and metropolitan area networks—Part 15.6: Wireless Body Area Networks. IEEE Std. 802.15.6-2012 (pp. 1–271).

  2. Ferraris, C., Nerino, R., Chimienti, A., Pettiti, G., Pianu, D., Albani, G., Azzaro, C., Contin, L., Cimolin, V., & Mauro, A. (2014). Remote monitoring and rehabilitation for patients with neurological diseases. BODYNETS 2014, Spetember 29–October 01, London Great Britain

  3. Jin, W., Zhongqi, Z., Xiaoqin, Y., Liwu, Z., & Jeong-Uk, K. (2013). A novel three-tier diabetes patients monitoring architecture in hospital environment. In Proceedings, The 2nd international conference on computer and applications CCA 2013, ASTL (Vol. 17, pp. 168–174). SERSC 2013.

  4. Stevens-Navarro, E., Wong, V. W. S. (2006). Comparison between vertical handoff decision algorithms for heterogeneous wireless networks. In IEEE 63rd vehicular technology conference, 2006. VTC 2006-Spring. (Vol. 2, pp. 947–951). Melbourne, VIC. doi: 10.1109/VETECS.2006.1682964.

  5. O’Hara, B., & Petrick, A. IEEE 802.11 handbook: A designer’s companion (2nd ed., ID: 2240109). Wiley. ISBN: 978-0-7381-4449-8.

  6. Tsai, T. Y., Chung, Y. L., & Tsai, Z. Introduction to packet scheduling algorithms for communication networks, communications and networking. In J. Peng (Ed.), InTech. ISBN: 978-953-307-114-5. doi: 10.5772/10167. http://www.intechopen.com/books/communications-and-networking/introduction-to-packet-scheduling-algorithms-for-communication-networks.

  7. Otto, C., Milenkovi, A., Sanders, C., & Jovanov, E. (2006). System architecture of a wireless body area sensor network for ubiquitous health monitoring. Journal of Mobile Multimedia, 1(4), 307–326.

    Google Scholar 

  8. Khan, N. A., Javaid, N., Khan, Z. A., Jaffar, M., Rafiq, U., Bibi, A. (2012). Ubiquitous health care in wireless body area networks. In 2012 IEEE 11th international conference on trust, security and privacy in computing and communications (TrustCom). Liverpool, 25–27 June 2012 (pp. 1960–1967). doi: 10.1109/TrustCom.2012.289.

  9. Ademola, P. A., Nureni, A. A., Ademola, O., Adesina, K., Agbele, K, & Henry, O. N. (2011). Using wearable sensors for remote healthcare monitoring system. Journal of Sensor Technology, 1, 22–28. doi: 10.4236/jst.2011.12004, http://www.SciRP.org/journal/jst.

  10. Khan, J. Y., & Yuce, M. R. Wireless body area network (WBAN) for medical applications. New Developments in Biomedical Engineering, Domenico Campolo (Ed.) InTech. ISBN: 978-953-7619-57-2, doi: 10.5772/7598. http://www.intechopen.com/books/newdevelopments-in-biomedical-engineering/wireless-body-area-network-WBAN-for-medical-applications.

  11. Daniel, A., Gregorij, K., & Posu, Y. (2014). Continuous, real-time, tele-monitoring of patients with chronic heart-failure, lessons learned from a pilot study. BODYNETS 2014, Spetember 29–October 01, London Great Britain.

  12. Emil, J., Milenkovi, A., Otto, C., De Groen, P., Johnson, B., Warren, S., & Taibi, G. (2005). A WBAN system for ambulatory monitoring of physical activity and health status: Applications and challenges. In Proceedings of the 27th annual conference IEEE engineering in medicine and biology. Shanghai, China.

  13. Nachabe, L., Marc, G.-G., El Hassan, B., & Fadi, A. (2014). Applying ontology to WBAN for mobile application in the context of sport exercises, BODYNETS 2014, September 29–October 01, London Great Britain.

  14. Health@Home Project. http://www.aal-europe.eu/projects/healthhome/. Accessed on 25 July 2015.

  15. Home-based empowered living for parkinsons diseade patients project (HELP). http://www.aal-europe.eu/projects/help/. Accessed 23 Sept 2014.

  16. CAALYX-MV Project. http://www.caalyx-mv.eu/project.

  17. Help4Mood Project. http://www.help4mood.info/site/default.aspx.

  18. WSN4QoL Project. http://www.wsn4qol.eu/.

  19. Center for integration of medicine and innovative technology (CIMIT). http://www.cimit.org/about.html.

  20. CodeBlue project (CodeBlue). http://www.eecs.harvard.edu/mdw/proj/codeblue/.

  21. Kenichi, T., Masatoshi, H., Yoshiki, T., Aoyagi, T., Hiroaki, H., Tetsushi, I., & Ryuji, K. (2008). Capsule endoscope using an implant WBAN, 19 March, 2008, Project: IEEE P802.15 Working Group for wireless personal area networks (WPANs).

  22. B.O.H.M. Health Care Center. http://bestohm.com/.

  23. Ee-May, F., & Wan-Young, C. (2013). Mobile cloud-computing-based healthcare service by non-contact ECG monitoring. Sensors, 3, 16451–16473. doi:10.3390/s131216451.

    Google Scholar 

  24. Avik, G., Priyanka, S., Chirabrata, B., Aniruddha, S., Amit, A., & Anirban, D. C. (2013). UbiHeld: Ubiquitous healthcare monitoring system for elderly and chronic patients. In Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication (UbiComp ‘13 Adjunct) (pp. 1255–1264). ACM, New York, NY. doi: http://dx.doi.org/10.1145/2494091.2497331.

  25. Khan, S., Pathan, A. S. K., & Alrajeh, N. A. (2012). Wireless sensor networks: Current status and future trends (p. 546). Boca Raton: CRC Press.

    Book  Google Scholar 

  26. Maricela-Georgiana, A. (2013). Advantages and challenges of adopting cloud computing from an enterprise perspective. In The 7th international conference interdisciplinarity in engineering (INTER-ENG 2013), ScienceDirect, Elsevier.

  27. Arnon, R., Peter, M., Maya, H. L., Jean, S., David, K., & Patti, R. (2010). Cloud computing: A new business paradigm for biomedical information sharing. Journal of Biomedical Informatics, 43, 342–353.

    Article  Google Scholar 

  28. Vladimir, H., & Bohumil, A. (2012). Analytical model of a weighted round robin service system. Journal of Electrical and Computer Engineering, 2012, Article ID 374961, 6. http://dx.doi.org/10.1155/2012/374961.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Audace Manirabona.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Manirabona, A., Fourati, L.C. A 4-tiers architecture for mobile WBAN based health remote monitoring system. Wireless Netw 24, 2179–2190 (2018). https://doi.org/10.1007/s11276-017-1456-7

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11276-017-1456-7

Keywords

Navigation