Secure 5G Network Slicing for Elderly Care

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11673)


In the time of an ageing world, aging at home is both an economically and socially viable and sustainable solution which may also improve the elderly’s well-being. There are currently a few Home-based Elderly Care systems which although operational are not yet optimal in terms of efficiency and security. The paper propose a Home-based Elderly Care solution which makes use of the 5G mobile network slicing with two secure and isolated slices, namely the Health Care slice and the Smart Home slice to provide an inherent secure connection. Further, the solution includes an efficient and secure Emergency Call which ensures that the appropriate caregivers can dispatched and provide help in shorter times. A proof-of-concept implementation is described thoroughly.


5G mobile networks 5G network slicing Assisted living Elderly Care Home based Elderly Care 



This paper is a result of the SCOTT project ( which has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No. 737422. This Joint Undertaking receives support from the EU H2020 research and innovation programme and Austria, Spain, Finland, Ireland, Sweden, Germany, Poland, Portugal, Netherlands, Belgium, Norway.


  1. 1.
    United Nations: Department of Economic and Social Affairs, Population Division. World Population Ageing 2017 (ST/ESA/SER.A/408) (2017)Google Scholar
  2. 2.
    Wolf, M. Here’s Why Elder Care May be the Next Billion Dollar Technology Opportunity. Forbes. Available online: Accessed 11 May 2017
  3. 3.
    Majumder, S., et al.: Smart homes for elderly healthcare—recent advances and research challenges. Sensors 17(11), 2496 (2017). ISSN 1424-8220. PMID 2908812CrossRefGoogle Scholar
  4. 4.
    Choudhury, B., Choudhury, T.S., Pramanik, A., Arif, W., Mehedi, J.: Design and implementation of an SMS based home security system. In: Proceedings of the 2015 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), Coimbatore, India, 5–7 March 2015, pp. 1–7 (2015)Google Scholar
  5. 5.
    Park, J.-H., Jang, D.-G., Park, J., Youm, S.-K.: Wearable sensing of in-ear pressure for heart rate monitoring with a piezoelectric sensor. Sensors 15, 23402–23417 (2015)CrossRefGoogle Scholar
  6. 6.
    Zao, J.K., Wang, M.-Y., Tsai, P., Liu, J.W.S.: Smartphone based medicine in-take scheduler, reminder and monitor. In: Proceedings of the 2010 12th IEEE International Conference on e-Health Networking Applications and Services (Healthcom), Lyon, France, 1–3 July 2010, pp. 162–168 (2012)Google Scholar
  7. 7.
    Popescu, M., Li, Y., Skubic, M., Rantz, M.: An acoustic fall detector system that uses sound height information to reduce the false alarm rate. In: Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2008), Vancouver, BC, Canada, 21–24 August 2008, pp. 4628–4631 (2008)Google Scholar
  8. 8.
    Bottazzi, D., Corradi, A., Montanari, R.: Context-aware middleware solutions for anytime and anywhere emergency assistance to elderly people. IEEE Commun. Mag. 44, 82–90 (2006)CrossRefGoogle Scholar
  9. 9.
    Banerji, S., Chowdhury, R.S.: On IEEE 802.11: wireless LAN technology. Int. J. Mob. Netw. Commun. Telematics (IJMNCT) 3(4) (2013). Scholar
  10. 10.
    Van Hoof, J., Demiris, G., Wouters, E.J.M.: Handbook of Smart Homes, Health Care and Well-Being. Springer, Basel (2017)CrossRefGoogle Scholar
  11. 11.
    Stefanov, D.H., Bien, Z., Bang, W.-C.: The smart house for older persons and persons with physical disabilities: structure, technology arrangements, and perspectives. Neural Syst. Rehabil. Eng. IEEE Trans. 12, 228–250 (2004)CrossRefGoogle Scholar
  12. 12.
    5G Infrastructure Public Private Partnership (5G PPP): View on 5G Architecture (Version 2.0), 5G PPP Architecture Working Group 18 July 2017Google Scholar
  13. 13.
    ETSI: GS NFV 002 Network Functions Virtualization (NFV), Architectural Framework, v.1.1.1, October 2013Google Scholar
  14. 14.
    Dzogovic, B., Santos, B., Noll, J., Thuan Do, V., T, Feng, B. Van Do, T.: Enabling smart home with 5G network slicing. In: Proceedings of the 2019 IEEE 4th International Conference on Computer and Communication Systems ICCCS 2019, Singapore, 23–25 February 2019, pp. 543–548 (2019). IEEE Catalog Number CFP19D48-USB Conf. Chair Yang Xiao. ISBN 978-1-7281-1321-0Google Scholar
  15. 15.
    3rd Generation Partnership Project (3GPP): Technical Specification TS 23.501 V1.3.0 (2017-09) Technical Specification Group Services and System Aspects, System Architecture for the 5G System; Stage 2 (Release 15), September 2017Google Scholar
  16. 16.
    Santos, B., Do, V.T., Feng, B., van Do, T.: Identity federation for cellular Internet of Things. In: Proceedings of the 2018 7th International Conference on Software and Computer Applications - ICSCA 2018, pp. 223–228 (2018)Google Scholar
  17. 17.
    Santos, B., Do, V.T., Feng, B., van Do, T.: Towards a standardized identity federation for Internet of Things in 5G networks. In: 2018 Proceedings of the IEEE SmartWorld 2018, pp. 2082–2088 (2018)Google Scholar
  18. 18.
    Gluu Server. Accessed May 2019

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Oslo Metropolitan UniversityOsloNorway
  2. 2.Wolffia ASOsloNorway
  3. 3.Philips ResearchEindhovenThe Netherlands
  4. 4.Telenor ASAFornebuNorway

Personalised recommendations