Advertisement

Edge Computing for Low Delay to Cache and Transfer Electronic Medical Records

  • Ziyang Chen
  • Tamanna Shikh-Bahaei
  • Paul Luff
  • Mohammad Shikh-Bahaei
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 869)

Abstract

A new method is proposed to decrease the transmission delay of visual and non-visual medical records by using edge computing and Dynamic Vision Sensing technologies. The simulation results show that the proposed scheme can decrease the transmission delay by 89.15% to 93.23%. The maximum number of patients who can be served by edge devices is analysed.

Keywords

Medical records Edge computing Dynamic vision sensor (DVS) Sensors Transmission delay 

References

  1. 1.
    Rodríguez, M.D.. Favela, J., Martínez, E.A., Muñoz, M.A.: Location-aware access to hospital information and services. IEEE Trans. Inform. Technol. Biomed. 8(4) (2004)CrossRefGoogle Scholar
  2. 2.
    Medical Practice Efficiencies & Cost Savings, Health IT.gov. www.healthit.gov/providers-professionals/medical-practice-efficiencies-cost-savings
  3. 3.
    Rolim, C.O., Koch, F.L., Westphall, C.B., Werner, J., Fracalossi, A., Salvador, G.S.: A cloud computing solution for patient’s data collection in health care institutions. In: Second International Conference on eHealth, Telemedicine, and Social Medicine (2010)Google Scholar
  4. 4.
    Li, M., Yu, S., Zheng, Y., Ren, K., Lou, W.: Scalable and secure sharing of personal health records in cloud computing using attribute-based encryption. IEEE Trans. Parallel Distrib. Syst. 24(1), 131–143 (2012)CrossRefGoogle Scholar
  5. 5.
    Marstona, S., Lia, Z., Bandyopadhyaya, S., Zhanga, J., Ghalsasib, A.: Cloud computing—the business perspective. Decis. Support Syst. 51(1), 176–189 (2011)CrossRefGoogle Scholar
  6. 6.
    Zhang, Q., Cheng, L., Boutaba, R.: Cloud computing: state-of-the-art and research challenges. J. Internet Serv. Appl. 1(1), 7–18 (2001)CrossRefGoogle Scholar
  7. 7.
    Shi, W., Cao, J., Zhang, Q., Li, Y., Xu, L.: Edge computing: vision and challenges (2015)Google Scholar
  8. 8.
    Ahmed, A., Ahmed, E. : A survey on mobile edge computing. In: 10th IEEE International Conference on Intelligent Systems and Control (2016)Google Scholar
  9. 9.
    Naslcheraghi, M., Ghorashi, S.A., Shikh-Bahaei, M.: FD device-to-device communication for wireless video distribution. IET Commun. 11(7), 1074–1081Google Scholar
  10. 10.
    Satyanarayanan, M., Simoens, P., Xiao, Y., Pillai, P., Chen, Z., Ha, K., Hu, W., Amos, B.: Edge analytics in the internet of things. IEEE Pervasive Comput. 14(2), 24–31 (2015)CrossRefGoogle Scholar
  11. 11.
    Beck, M.T., Werner, M., Feld, S.: Mobile edge computing: a taxonomy. In: The Sixth International Conference on Advances in Future Internet (2014)Google Scholar
  12. 12.
    Chen, Z., Shikh-Bahaei, M.: Location-aware distributed file allocation with femtocaching and DVS for low-delay access to electronic medical records. In: IEEE Engineering in Medicine and Biology Society (EMBC) (2016)Google Scholar
  13. 13.
    Shadmand, A., Nehra, K., Shikh-Bahaei, M.: Cross-layer design for interference-limited spectrum sharing systems. EURASIP J. Wirel. Commun. Networking 1, 458472 (2010)CrossRefGoogle Scholar
  14. 14.
    Olfat, A., Shikh-Bahaei, M.: Optimum power and rate adaptation with imperfect channel estimation for MQAM in rayleigh flat fading channel. In: IEEE 62nd Vehicular Technology Conference, p. 2468 (2005)Google Scholar
  15. 15.
    Nehra, K., Shadmand, A., Shikh-Bahaei, M.: Cross-layer design for interference-limited spectrum sharing systems. In: Global Telecommunications Conference (GLOBECOM 2010), pp. 1–5. IEEE (2010)Google Scholar
  16. 16.
    Chen, Z., Shikh-Bahaei, T., Luff, P., Shikh-Bahaei, M.: Edge caching and dynamic vision sensing for low delay access to visual medical information. In: IEEE Engineering in Medicine and Biology Society (EMBC) (2017)Google Scholar
  17. 17.
    Bogoch, E.R., Elliot-Gibson, V., Beaton, D.E., Jamal, S., Josse, R., Murray, T.M.: Effective initiation of osteoporosis diagnosis and treatment for patients with a fragility fracture in an orthopedic environment. J. Bone Joint Surg. Am. (2006)Google Scholar
  18. 18.
    Kingman, J., Rogers, L., Baxendale, P., Greenwood, P., Kelly, F., Legall, J., Pardoux, E., Williams, D.: Oxford Studies in Probability: Poisson Processes. Oxford University Press, Oxford (2002)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ziyang Chen
    • 1
  • Tamanna Shikh-Bahaei
    • 2
  • Paul Luff
    • 3
  • Mohammad Shikh-Bahaei
    • 1
  1. 1.Informatics, King’s College LondonLondonUK
  2. 2.School of Medicine and DentistryBarts and the LondonLondonUK
  3. 3.King’s Business School, King’s College LondonLondonUK

Personalised recommendations