Skip to main content

Body Area Network (BAN) for Healthcare by Wireless Mesh Network (WMN)

  • Chapter
  • First Online:

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

This chapter presents the convergent aspects of wireless body area network (WBAN) topology, energy efficiency, and medical constraints related to the interference between invasive or non-invasive wearable medical devices and the electromagnetic field emitted by other devices (aggregators, Bluetooth or ZigBee, smartphone). Wireless short-range personal area networks based on IEEE 802.15.1 (Bluetooth) or IEEE 802.15.4 (ZigBee) standards are used in wearable body networks for communication. Moreover, the antennas using in wireless body area network (WBAN) must take in consideration the specific absorption rate (SAR) distributions on human body for electronic devices. For our research, we have chosen the star topology with a main board—central node and other sensors placed at a distance of different radii (owing to the need to be in correspondence with the anatomical region to be measured). The Wireless Bluetooth technology based on mesh network will enable the IoT because it allows for data transfer between biomedical sensors and the gateway.

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   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. D. Rathee, R. Savita, S.K. Chakarvarti, V.R. Singh, Recent trends in Wireless Body Area Network (WBAN) research and cognition based adaptive WBAN architecture for healthcare. J. Health Technol. 4(3), 239–244 (2014)

    Article  Google Scholar 

  2. R.K. Kachroo, R. Bajaj, A novel technique for optimized routing in wireless body area network using genetic algorithm. J. Telecommun. Electron. Comput. Eng. 10(2), (2015)

    Google Scholar 

  3. S. Sindhu, S. Vashisth, S.K. Chakarvarti, A review on Wireless Body Area Network (WBAN) for health monitoring system: implementation protocols. Commun. Appl. Electron. 4(7), 16–20 (2016)

    Article  Google Scholar 

  4. F. Hafez, F. Hesham, Design and implementation of wireless sensors network and cloud based telemedicine system for rural clinics and health centers. Int. J. Sci. Eng. Res. 6(2), 478 (2015)

    Google Scholar 

  5. J.Y. Khan, M.R. Yuce, Wireless Body Area Network (WBAN) for Medical Applications, New Developments in Biomedical Engineering (InTech, Rijeka, 2010)

    Google Scholar 

  6. A. Milenkovic, C. Otto, E. Jovanov, Wireless sensor networks for personal health monitoring: issues and an implementation. Comput Commun 29, 2521–2533 (2006)

    Article  Google Scholar 

  7. C. Chen, A. Knol, H.E. Wichman, A. Horsch, A review of three-layer wireless body sensor network systems in healthcare for continuous monitoring. J. Modern Internet Things (MIOT) 2(3), 24–34 (2013)

    Google Scholar 

  8. H.A. Mogaibel, M. Othman, S. Subramaniam, N.A.W.A. Hamid, High throughput path establishment for common traffic in wireless mesh networks, ed. By A. Krendzel. Wireless Mesh Networks - Efficient Link Scheduling, Channel Assignment and Network Planning Strategies, (InTech, Rijeka, 2012)

    Google Scholar 

  9. N.A. Benjamin, S. Sankaranarayana, Performance of wireless body sensor based mesh network for health application. Int. J. Comput. Informat. Syst. Industr. Manag. Appl. 2, 020–028 (2010)

    Google Scholar 

  10. A. Darwish, A.E. Hassanien, Wearable and implantable wireless sensor network solutions for healthcare monitoring. Sensors 11(6), 5561–5595 (2011)

    Article  Google Scholar 

  11. A. Zamanian, C. Hardiman, Electromagnetic radiation and human health: a review of sources and effects, summit technical media. High Freq. Electron. 2005, 16–26 (2005)

    Google Scholar 

  12. A. Mahajan, M. Singh, Human health and electromagnetic radiations. Int. J. Eng. Innov. Technol. 1(6), 95–97 (2012)

    Google Scholar 

  13. B. Hocking, I.R. Gordon, H.L. Grain, G.E. Hatfield, Cancer incidence and mortality and proximity to TV towers. Med. J. Aust. 165(11), 601–605 (1996)

    Google Scholar 

  14. V.G. Khurana, C. Teo, M. Kundi, L. Hardell, M. Carlberg, Sep cell phones and brain tumors. Surg. Neurol. 72(3), 205–214 (2009)

    Google Scholar 

  15. F. Ozdemir, A. Kargi, Electromagnetic waves and human health, in Electromagnetic Waves, ed. by Z. Vitaliy (Ed), (InTech, Rijeka, 2011)

    Google Scholar 

  16. Y. Lin, H. Lee, M. Who, Y. Harel, S. Mahlke, T. Mudge, C. Chakrabarti, K. Flautner, SODA: a low-power architecture for software radio, in 33rd International Symposium on Computer Architecture (ISCA’06) (2006), pp. 89–101

    Google Scholar 

  17. G. Mulligan, The 6LoWPAN architecture, in Proceedings of the 4th workshop on Embedded networked sensors (EmNets ’07) (ACM, 2007), pp. 78–82

    Google Scholar 

  18. I. Awolusia, E. Marks, M. Hallowell, Wearable technology for personalized construction safety monitoring and trending: Review of applicable devices. Autom. Constr. 85, 96–106 (2018)

    Article  Google Scholar 

  19. V. Gupta, D. Mohapatra, S.P. Park, A. Raghunathan, K. Roy, IMPACT: IMPrecise adders for low-power approximate computing, in IEEE/ACM International Symposium on Low Power Electronics and Design (2011), pp. 409–414

    Google Scholar 

  20. ANSES, Radiofrequency interference with medical devices. A technical information statement. IEEE Eng. Med. Biol. Mag. 17(3), 111–114 (1998)

    Google Scholar 

  21. T. Gee, Can-we-fix-wireless-in-health-care, in Medical Connectivity (2009), https://medicalconnectivity.com/2009/03/24/can-we-fix-wireless-in-health-care

  22. Y.Q. He, S.W. Leung, Y.L. Diao, W.N. Sun, Y.M. Siu, P. Sinha, K.H. Chan, Impacts of radio frequency interference on human brain waves and neuro-psychological changes, in International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS), Okinawa (2015), pp. 257–261

    Google Scholar 

  23. M.R. Yuce, Implementation of wireless body area networks for healthcare systems. Sensors. Actuators A Phys. 162(1), 116–129 (2010)

    Article  Google Scholar 

  24. K. Jeevan, T.R. Haftu, Y.S. Soo, Fog computing-based smart health monitoring system deploying LoRa wireless communication. IETE Tech. Rev., 1–14 (2018)

    Google Scholar 

  25. A.V. Mbakop, A. Lambebo, L. Jayatilleke, S. Haghani, Implementation of a wireless body area network for healthcare monitoring, in Conference Proceedings (2013)

    Google Scholar 

  26. Y. Zhu, G.Y. Wei, Cloud no longer a silver bullet, edge to the rescue. arXiv:1802.05943 2018, arXiv:1802.05943v1 (2018)

    Google Scholar 

  27. M. Marjanovic, A. Antonic, I.P. Zarko, Edge computing architecture for mobile crowdsensing. IEEE Access. 6, 10662–10674 (2018)

    Article  Google Scholar 

  28. X. Chen, L. Jiao, W. Li, X. Fu, Efficient multi-user computation offloading for mobile-edge cloud computing. IEEE/ACM Trans. Networking 24(5), 2795–2808 (2016)

    Article  Google Scholar 

  29. S. Ullah, H. Higgins, B. Braem, B. Latre, C. Blondia, I. Moerman, S. Saleem, Z. Rahman, K.S. Kwak, A comprehensive survey of wireless body area networks: on PHY, MAC, and Network layers solutions. J. Med. Syst. 36(3), 1065–1094 (2012)

    Article  Google Scholar 

  30. D.P. Tobon, T.H. Falk, M. Maier, Context awareness in WBANs: a survey on medical and non-medical applications. Wireless Commun. IEEE 20(4), 30–37 (2013)

    Article  Google Scholar 

  31. A. Boulemtafes, N. Badache, Design of wearable health monitoring systems: an overview of techniques and technologies, in mHealth Ecosystems and Social Networks in Healthcare. Annals of Information Systems, ed. by A. Lazakidou, S. Zimeras, D. Iliopoulou, D. D. Koutsouris (Eds), vol. 20, (Springer, New York, NY, 2016)

    Google Scholar 

  32. P. Khan, M.A. Hussain, K.S. Kwak, Medical applications of wireless body area networks. Int. J. Digital Content Technol. Appl. 3(3), 185–193 (2009)

    Google Scholar 

  33. G. Acampora, D.J. Cook, P. Rashidi, A.V. Vasilakos, A survey on ambient intelligence in healthcare. Proc. IEEE 101(12), 2470–2494 (2013)

    Article  Google Scholar 

Download references

Acknowledgments

This has been supported in part by UEFISCDI Romania and MCI through projects ESTABLISH, WINS@HI, EmoSpaces and TelMonAer, and funded in part by European Union’s Horizon 2020 research and innovation program under grant agreement No. 777996 (SealedGRID project) and No. 787002 (SAFECARE project).

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Aileni, R.M. et al. (2019). Body Area Network (BAN) for Healthcare by Wireless Mesh Network (WMN). In: Maheswar, R., Kanagachidambaresan, G., Jayaparvathy, R., Thampi, S. (eds) Body Area Network Challenges and Solutions. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-00865-9_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-00865-9_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-00864-2

  • Online ISBN: 978-3-030-00865-9

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics