Skip to main content

Advertisement

Log in

Multi-hop WBAN configuration approach for wearable machine-to-machine systems

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

Machine-to-machine (M2M) technologies for wearable healthcare services are now being considered as a cutting-edge solution to provide care for the aging population that is rapidly growing. M2M systems consist of sensors, actuators, and communications modules that can achieve various purposes. With respect to communications, wireless body area networks (WBANs) are highly suitable communication technologies for wearable M2M. Most existing research for WBANs have mainly focused on a one-hop star network configuration due to their ease of implementation. However, in an environment with a real wearable M2M system, a multi-hop network can be a more suitable solution for communication due to its various advantages, including a low heat generation, low path loss, low inter-network interference, etc., despite the high difficulty in management. Therefore, we propose a multi-hop WBAN configuration approach (MWCA) for wearable M2M systems. MWCA improves network throughput by exploiting multi-channel communications, and it achieves high energy efficiency by reducing the transmission power of each M2M device. We also investigate the performance of MWCA by using an analytical model, which is validated through the use of experimental simulations.

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. Abid B, Nguyen TT, Seba H (2015) New data aggregation approach for time-constrained wireless sensor networks. J Supercomput 71(5):1678–1693

    Article  Google Scholar 

  2. Boulis A, Smith D, Miniutti D, Libman L, Tselishchev Y (2012) Challenges in body area networks for healthcare: the MAC. IEEE Commun Mag 50(5):100–106

    Article  Google Scholar 

  3. Chiarini G, Ray P, Akter S, Masella C, Ganz A (2013) mHealth technologies for chronic diseases and elders: a systematic review. IEEE J Sel Area Commun 31(9):6–18

    Article  Google Scholar 

  4. Dohler M, Swetina J, Alexiou A, Wang C, Martigne P, Zheng K (2014) Editorial: IEEE communications surveys & tutorials — Machine-to-machine technologies & architectures. IEEE Commun Surv Tutor 16(1):1–3

    Article  Google Scholar 

  5. Dong J, Smith D (2014) Joint relay selection and transmit power control for wireless body area networks coexistence. In Proc. ICC, pp 5676–5681

  6. Hayajneh T, Almashaqbeh G, Ullah S, Vasilakos AV (2014) A survey of wireless technologies coexistence in WBAN: analysis and open research issues. Wirel Netw 20(8):2165–2199

    Article  Google Scholar 

  7. IEEE Std 802.15.6 (2012) IEEE Standard for Local and Metropolitan Area Networks: Part 15.6: Wireless Body Area Networks, IEEE Computer Society, pp 1--271. doi:10.1109/IEEESTD.2012.6161600

  8. Kim M, Lee D-W, Kim K, Kim J-H (2015) Hierarchical structured data logging system for effective lifelog management in ubiquitous environment. Multimedia Tools Appl 74(10):3561–3577

    Article  Google Scholar 

  9. Kim E-J, Shon T, Park JJH, Kang C-H (2012) Latency bounded and energy efficient MAC for wireless sensor networks. IET Commun 6(14):2120–2127

    Article  Google Scholar 

  10. Kim E-J, Youm S, Shon T, Kang C-H (2013) Asynchronous inter-network interference avoidance for wireless body area networks. J Supercomput 65(2):562–579

    Article  Google Scholar 

  11. Kwak KS, Ameen MA, Kwak DH, Cheolhyo L, Hyungsoo L (2009) A study on proposed IEEE 802.15 WBAN MAC protocols. In Proc. ISCIT, pp 834–840

  12. Kwon J-H, Kim E-J (2015) Adaptive multi-channel allocation for vehicular infrastructure mesh systems. Multimedia Tools Appl 74(5):1593–1609

    Article  MathSciNet  Google Scholar 

  13. Latr’e B, Braem B, Moerman I, Blondia C, Demeester P (2011) A survey on wireless body area networks. Wirel Netw 17(1):1–18

    Article  Google Scholar 

  14. Lee W, Rhee SH, Kim Y, Lee H (2009) An efficient multi-channel management protocol for wireless body area networks. In Proc. ICOIN, pp 1–5

  15. Movassaghi S, Abolhasan M, Lipman J, Smith D, Jamalipour A (2014) Wireless body area networks: a survey. IEEE Commun Surv Tutor 16(3):1658–1686

    Article  Google Scholar 

  16. Ohta N, Takahara A, Jajszczyk A, Saracco R (2013) Emerging technologies in communications. IEEE J Sel Area Commun 31(9):1–5

    Article  Google Scholar 

  17. Pandit S, Sarker K, Razzaque MA, Sarkar AMJ (2015) An energy-efficient multiconstrained QoS aware MAC protocol for body sensor networks. Multimedia Tools Appl 74(14):5353–5374

    Article  Google Scholar 

  18. Penders J, Gyselinckx B, Vullers R, De Nil M, Nimmala V, van de Molengraft J, Yazicioglu F, Torfs T, Leonov V, Merken P, Van Hoof C (2008) Human++: from technology to emerging health monitoring concepts. In Proc. Medical Devices and Biosensors, pp 94–98

  19. Rashwand S, Misic J (2011) Performance evaluation of IEEE 802.15.6 under non-saturation condition. In Proc. GLOBECOM, pp 1–6

  20. Smith DB, Lamahewa T, Hanlen LW, Miniutti D (2011) Simple prediction-based power control for the on-body area communications channel. In Proc. ICC, pp 1–5

  21. Xiao S, Dhamdhere A, Sivaraman V, Burdett A (2009) Transmission power control in body area sensor networks for healthcare monitoring. IEEE J Sel Area Commun 27(1):37–48

    Article  Google Scholar 

Download references

Acknowledgments

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2057641).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Eui-Jik Kim.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, TY., Kim, EJ. Multi-hop WBAN configuration approach for wearable machine-to-machine systems. Multimed Tools Appl 75, 12859–12878 (2016). https://doi.org/10.1007/s11042-015-2832-x

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-015-2832-x

Keywords

Navigation