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International Conference on Smart Objects and Technologies for Social Good

GOODTECHS 2021: Smart Objects and Technologies for Social Good pp 213–229Cite as

Ageing@home: A Secure 5G Welfare Technology Solution for Elderlies

Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST,volume 401)

Abstract

The world population is ageing at a fast pace and to enable elderly to age at home can become a viable solution both economically and socially speaking, leading also to the overall improvement of the elderly’s well-being and comfort. There are currently a few AAL (Ambient Assisted Living) systems which although operational are not yet optimal in terms of efficiency and security. This paper proposes a welfare technology solution called Ageing@home which aims at enabling newly hospitalized elderlies to come home earlier by making use of a dedicated 5G network slice for health care system. Such an isolated logical network will provide adequate security, privacy and reliability for the selected welfare technologies and services deployed at the elderly home. The proposed solution allows the selection and customization of needed welfare technologies and services and promotes the re-allocation and re-use of equipment. Validation methods and a business plan have been presented as well as a thorough description of a proof-of-concept implementation.

Keywords

  • 5G mobile networks
  • Network slicing
  • Assisted living
  • Home based elderly care
  • Welfare technology

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  • DOI: 10.1007/978-3-030-91421-9_16
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Acknowledgement

This paper is a result of the H2020 CONCORDIA project (https://www.concordia-h2020.eu) which has received funding from the EU H2020 programme under grant agreement No. 830927. The CONCORDIA consortium includes 23 partners from industry and other organizations such as Telenor, Telefonica, Telecom Italia, Ericsson, Siemens, Airbus, etc. and 23 partners from academia such as CODE, university of Twente, OsloMet, etc.

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Authors and Affiliations

  1. Oslo Metropolitan University, Pilestredet 35, 0167, Oslo, Norway

    Boning Feng, Birgitta Langhammer, Van Thuan Do, Bernardo Santos, Bruno Dzogovic & Thanh van Do

  2. Wolffia AS, Haugerudvn. 40, 0673, Oslo, Norway

    Van Thuan Do & Niels Jacot

  3. Telenor ASA, Snarøyveien 30, 1331, Fornebu, Norway

    Per Jonny Nesse & Thanh van Do

Authors
  1. Boning Feng
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  2. Birgitta Langhammer
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  3. Van Thuan Do
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  4. Niels Jacot
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  5. Bernardo Santos
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  6. Bruno Dzogovic
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  7. Per Jonny Nesse
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  8. Thanh van Do
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Corresponding author

Correspondence to Thanh van Do .

Editor information

Editors and Affiliations

  1. Instituto de Telecomunicações, Universidade da Beira Interior, Covilhã, Portugal

    Ivan Miguel Pires

  2. Marche Polytechnic University, Ancona, Italy

    Prof. Dr. Susanna Spinsante

  3. Faculty of Computer Science and Engineering, Sts Cyril and Methodius University, Skopje, North Macedonia

    Prof. Eftim Zdravevski

  4. Faculty of Computer Science and Engineering, Sts Cyril and Methodius University, Skopje, North Macedonia

    Petre Lameski

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Feng, B. et al. (2021). Ageing@home: A Secure 5G Welfare Technology Solution for Elderlies. In: Pires, I.M., Spinsante, S., Zdravevski, E., Lameski, P. (eds) Smart Objects and Technologies for Social Good. GOODTECHS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 401. Springer, Cham. https://doi.org/10.1007/978-3-030-91421-9_16

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  • DOI: https://doi.org/10.1007/978-3-030-91421-9_16

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