Skip to main content
SpringerLink
Log in

Massive Access Control Aided by Knowledge-Extraction for Co-Existing Periodic and Random Services over Wireless Clinical Networks

  • Mobile Systems
  • Published:
Journal of Medical Systems Aims and scope Submit manuscript

Abstract

The prosperity of e-health is boosted by fast development of medical devices with wireless communications capability such as wearable devices, tiny sensors, monitoring equipments, etc., which are randomly distributed in clinic environments. The drastically-increasing population of such devices imposes new challenges on the limited wireless resources. To relieve this problem, key knowledge needs to be extracted from massive connection attempts dispersed in the air towards efficient access control. In this paper, a hybrid periodic-random massive access (HPRMA) scheme for wireless clinical networks employing ultra-narrow band (UNB) techniques is proposed. In particular, the proposed scheme towards accommodating a large population of devices include the following new features. On one hand, it can dynamically adjust the resource allocated for coexisting periodic and random services based on the traffic load learned from signal collision status. On the other hand, the resource allocation within periodic services is thoroughly designed to simultaneously align with the timing requests of differentiated services. Abundant simulation results are also presented to demonstrate the superiority of the proposed HPRMA scheme over baseline schemes including time-division multiple access (TDMA) and random access approach, in terms of channel utilization efficiency, packet drop ratio, etc., for the support of massive devices’ services.

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

Similar content being viewed by others

References

  1. Islam, R., Kwak, D., Kabir, H., Hossain, and Kwak, K. -S., The internet of things for health care: a comprehensive survey. IEEE Access 3:678–708, 2015.

    Article  Google Scholar 

  2. Zheng, K., Ou, S., Dohler, A.-Z., Liu, F., and Zhu, H., Challenges of massive access in highly dense LTE-advanced networks with machine-to-machine communications. IEEE Wirel. Commun. 21(3):12–18, 2014.

    Article  CAS  Google Scholar 

  3. Yang, H., Kundakcioglu, Li, J., et al., Healthcare intelligence: turning data into knowledge. IEEE Intell. Syst. 29(3):54–68, 2014.

    Article  CAS  Google Scholar 

  4. Dahlman, E., Parkvall, S., and Sköld, J. 4G LTE/LTE-Advanced for Mobile Broadband: Academic Press, Elsevier Ltd., 2011.

  5. Perahia, E., and Stacey, R. Next Generation Wireless LANs–802.11n and 802.11ac. 2nd Ed. New York: Cambridge University Press, 2013.

    Book  Google Scholar 

  6. Riazul Islamm, S. M., Kwak, D., Humaun Kabir, M., Hossain, M., Kwak, K. -S., The internet of things for health care: a comprehensive survey. IEEE Access 3:678–709, 2015.

    Article  Google Scholar 

  7. Rghioui, A. et al., The internet of things for healthcare monitoring: security review and proposed solution. In: Proceeding of 3th IEEE International Colloquium in Information Science and Technology (CIST), 2014.

  8. Alonso, L., and Alonso-Zarate, J., Is the random access channel of LTE and LTE-A suitable for M2M communications: a survey of alternatives. IEEE Commun Surv. Tutorials 16(1):4–16 , 2014.

    Article  Google Scholar 

  9. Manfredi, S., Congestion control for differentiated healthcare service delivery in emerging heterogeneous wireless body area networks. IEEE Wirel. Commun. 21(2):81–90, 2014.

    Article  Google Scholar 

  10. Pratas, N. K., Thomsen, H., Stefanovic, C., and Popovski, P., Codeexpanded random access for machine-type communications. In: Proceeding of IEEE GLOBECOM Workshops, pp. 1681–1686, 2012.

  11. Wu, H., Zhu, C., La, R., Liu, X., and Zhang, Y., FASA: Accelerated S-ALOHA using access history for Event-Driven M2M communications. IEEE/ACM Trans. Networking 21(6):1904–1917, 2013.

    Article  Google Scholar 

  12. He, H., Du, Q., Song, H., Wang, Y., and Ren, P., Traffic-aware ACB scheme for massive access in machine-to-machine networks. In: Proceeding of IEEE International Conference on Communications (ICC), pp. 617–622, 2015.

  13. 3GPP TSG RAN WG2 #71 R2-104663, [70Bis#11] LTE: MTC LTE simulations, ZTE, Madrid, Spain 23rd, 2010.

  14. 3GPP, Study on RAN improvements for machine-type communications, 3GPP TR 37.868 V11.0.0, 2011.

  15. Liu, Y., Yuen, C., Cao, X., Hassan, N. U., and Chen, J., Design of a scalable hybrid MAC protocol for heterogeneous M2M networks. IEEE Internet of Things Journal 1(1):99–111, 2014.

    Article  Google Scholar 

  16. Hsu, C. Y., Yen, C. H., Chou, C. T., An adaptive multichannel protocol for large-scale machine-to-machine (M2M) networks. In: Proceeding of 9th IEEE Wireless Communications and Mobile Computing Conference (IWCMC), pp. 1223–1228, 2013.

  17. Sandhya, P. et al., Augmented conflict-free Scheduling for low power WSNs. In: Proceeding of 12th IEEE Inconsumer Communications and Networking Conference (CCNC), 2015.

  18. Hu, L., Zhang, Y., Feng, D., Hassan, M. M., Alelaiwi, A., and Alamri, A., Design of QoS-aware multi-level MAC-layer for wireless body area network. J. Med. Syst. 39(12):192, 2015.

    Article  PubMed  Google Scholar 

  19. Kafi, M. A., Othman, J. B., Bagaa, M., and Badache, N., CCS_WHMS: a congestion control scheme for wearable health management system. J. Med. Syst. 39(12):189, 2015.

    Article  PubMed  Google Scholar 

  20. Lee, S. -C., and Chung, A. -Y., A robust wearable u-healthcare platform in wireless sensor network. Commun. Netw. 16(4):465–474, 2014.

    Article  Google Scholar 

  21. Suciu, G., Suciu, V., Martian, A., Craciunescu, R., Vulpe, A., Marcu, I., and Fratu, O., Big data, internet of things and cloud convergence c an architecture for secure E-Health applications. J. Med. Syst. 39(11):141, 2015.

    Article  PubMed  Google Scholar 

  22. Gradshteyn, I. S., and Ryzhik, I. M., In: Jeffrey, A., and Zwillinger, D. (Eds.) Table of integrals, series, and products. 7th Ed.: Academic Press, Elsevier Ltd., 2007.

  23. 3GPP GPC150310, C-UNB technology for Cellular IoT - Uplink Physical Layer Design, SIGFOX, GERAN Ad’hoc meeting #3, 29 June - 02 July 2015

  24. 3GPP GPC150309, C-UNB technology for Cellular IoT - Downlink Physical Layer Design, SIGFOX, GERAN Ad’hoc meeting #3, 29 June - 02 July 2015.

Download references

Acknowledgments

The research work reported in this paper is supported in part by the National Natural Science Foundation of China under the Grant No. 61461136001, Science and Technology Program of Shaanxi Province under the Grant No. 2016KW-032 and the Fundamental Research Funds for the Central Universities.

Author information

Authors and Affiliations

  1. School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, China

    Qinghe Du, Weidong Zhao, Pinyi Ren, Li Sun & Yichen Wang

  2. Shaanxi Smart Networks and Ubiquitous Access Research Center, Xi’an Jiaotong University, Xi’an, China

    Qinghe Du, Weidong Zhao, Pinyi Ren, Li Sun & Yichen Wang

  3. The First Affiliated Hospital of Xi’an Jiaotong University, Xi’an, China

    Weimin Li

  4. Department of Electrical and Computer Engineering, West Virginia University, Morgantown, WV, 25136, USA

    Houbing Song

  5. ZTE Corporation, Xi’an, China

    Xuelin Zhang & Bo Sun

Authors
  1. Qinghe Du
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Weidong Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Weimin Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Xuelin Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bo Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Houbing Song
    View author publications

    You can also search for this author in PubMed Google Scholar

  7. Pinyi Ren
    View author publications

    You can also search for this author in PubMed Google Scholar

  8. Li Sun
    View author publications

    You can also search for this author in PubMed Google Scholar

  9. Yichen Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Pinyi Ren.

Additional information

This article is part of the Topical Collection on Mobile Systems

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Du, Q., Zhao, W., Li, W. et al. Massive Access Control Aided by Knowledge-Extraction for Co-Existing Periodic and Random Services over Wireless Clinical Networks. J Med Syst 40, 171 (2016). https://doi.org/10.1007/s10916-016-0506-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s10916-016-0506-5

Keywords

Search

Navigation