Interconnecting IoT Devices to Improve the QoL of Elderly People

  • Daniel Flores-MartinEmail author
  • Alejandro Pérez-Vereda
  • Javier Berrocal
  • Carlos Canal
  • Juan M. Murillo
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1016)


The number of internet-connected devices (Internet of Things, IoT) is growing at an unstoppable rate. Many manufacturers have developed specific protocols that are usually closed and do not follow any standard, hindering the interconnection and coordination of devices from different manufactures. This entails a greater effort from users to coordinate some devices and the loss of the benefits provided by this paradigm. Some works are proposing different techniques to reduce this barrier and avoid the vendor lock-in issue. Nevertheless, this interconnection should also depends on the context. IoT devices must adapt their behavior according to the people’s preferences around them. In this paper, we propose a system that allows to identify a dynamic interconnection of IoT devices arising from changing situations to help elderly people with their daily tasks and improve their quality of life. Our work allows us to make this interconnection context dependent, creating a collaborative environment between people and devices. Further, in a world with an accelerated population aging, there is an increasing interest on developing solutions for the elderly living assistance through IoT systems.


Internet of Things Context Interconnection Elderly people 



This work was supported by the Spanish Ministry of Science and Innovation through projects TIN2015-69957-R, TIN2014-53986-REDT, and TIN2015-67083-R (MINECO/FEDER, UE), by the Department of Economy and Infrastructure of the Government of Extremadura (GR15098), by the European Regional Development Fund (ERDF) and by 4IE project (0045-4IE-4-P) funded by the Interreg V-A España-Portugal (POCTEP) 2014–2020 program.


  1. 1.
    Bernal Bernabé, J., et al.: Sociotal-the development and architecture of a social IoT framework (2017)Google Scholar
  2. 2.
    Berners-Lee, T.: Solid vision. Accessed 9 Oct 2018
  3. 3.
    Berrocal, J., Garcia-Alonso, J., Canal, C., Murillo, J.M.: Situational-context: a unified view of everything involved at a particular situation. In: Bozzon, A., Cudre-Maroux, P., Pautasso, C. (eds.) ICWE 2016. LNCS, vol. 9671, pp. 476–483. Springer, Cham (2016). Scholar
  4. 4.
    Flores-Martin, D.: Meeting IoT users’ preferences by emerging behavior at run-time. In: Braubach, L., et al. (eds.) ICSOC 2017. LNCS, vol. 10797, pp. 333–338. Springer, Cham (2018). Scholar
  5. 5.
    Galán-Jiménez, J., Berrocal, J., Garcia-Alonso, J., Canal, C., Murillo, J.M.: Coordinating heterogeneous IoT devices by means of the centralized vision of the SDN controller (2017)Google Scholar
  6. 6.
    Guillen, J., Miranda, J., Berrocal, J., Garcia-Alonso, J., Murillo, J.M., Canal, C.: People as a service: a mobile-centric model for providing collective sociological profiles. IEEE Softw. 31(2), 48–53 (2014)CrossRefGoogle Scholar
  7. 7.
    Gyrard, A., Datta, S.K., Bonnet, C., Boudaoud, K.: Cross-domain Internet of Things application development: M3 framework and evaluation. In: 2015 3rd International Conference on Future Internet of Things and Cloud, pp. 9–16, August 2015.
  8. 8.
    Haluza, D., Jungwirth, D.: ICT and the future of health care: aspects of health promotion. Int. J. Med. Inform. 84(1), 48–57 (2015)CrossRefGoogle Scholar
  9. 9.
    Kim, J., et al.: Standard-based IoT platforms interworking: implementation, experiences, and lessons learned. IEEE Commun. Mag. 54(7), 48–54 (2016)CrossRefGoogle Scholar
  10. 10.
    Mainetti, L., Patrono, L., Secco, A., Sergi, I.: An IoT-aware AAL system for elderly people. In: International Multidisciplinary Conference on Computer and Energy Science (SpliTech), pp. 1–6. IEEE (2016)Google Scholar
  11. 11.
    Mansour, E., et al.: A demonstration of the solid platform for social web applications. In: Proceedings of the 25th International Conference Companion on World Wide Web, pp. 223–226. International World Wide Web Conferences Steering Committee (2016)Google Scholar
  12. 12.
    Metcalf, D., Milliard, S.T., Gomez, M., Schwartz, M.: Wearables and the Internet of Things for health: wearable, interconnected devices promise more efficient and comprehensive health care. IEEE Pulse 7(5), 35–39 (2016)CrossRefGoogle Scholar
  13. 13.
    Nordrum, A.: The internet of fewer things [news]. IEEE Spectr. 53(10), 12–13 (2016)CrossRefGoogle Scholar
  14. 14.
    Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Context aware computing for the Internet of Things: a survey. IEEE Commun. Surv. Tutor. 16(1), 414–454 (2014)CrossRefGoogle Scholar
  15. 15.
    Pinto, S., Cabral, J., Gomes, T.: We-care: An IoT-based health care system for elderly people. In: 2017 IEEE International Conference on Industrial Technology (ICIT), pp. 1378–1383. IEEE (2017)Google Scholar
  16. 16.
    Roman, R., Zhou, J., Lopez, J.: On the features and challenges of security and privacy in distributed Internet of Things. Comput. Netw. 57(10), 2266–2279 (2013)CrossRefGoogle Scholar
  17. 17.
    Shrestha, N., Kubler, S., Främling, K.: Standardized framework for integrating domain-specific applications into the IoT. In: 2014 International Conference on Future Internet of Things and Cloud (FiCloud), pp. 124–131. IEEE (2014)Google Scholar
  18. 18.
    Swetina, J., Lu, G., Jacobs, P., Ennesser, F., Song, J.: Toward a standardized common M2M service layer platform: introduction to oneM2M. IEEE Wirel. Commun. 21(3), 20–26 (2014)CrossRefGoogle Scholar
  19. 19.
    Szilagyi, I., Wira, P.: Ontologies and semantic web for the Internet of Things-a survey. In: 42nd Annual Conference of the IEEE Industrial Electronics Society, IECON 2016, pp. 6949–6954. IEEE (2016)Google Scholar
  20. 20.
    Taivalsaari, A., Mikkonen, T.: A roadmap to the programmable world: software challenges in the IoT era. IEEE Softw. 34(1), 72–80 (2017)CrossRefGoogle Scholar
  21. 21.
    Wolf, P., Schmidt, A., Klein, M.: SOPRANO-an extensible, open AAL platform for elderly people based on semantical contracts. In: 3rd Workshop on Artificial Intelligence Techniques for Ambient Intelligence (AITAmI 2008), 18th European Conference on Artificial Intelligence (ECAI 2008), Patras, Greece (2008)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Universidad de ExtremaduraBadajozSpain
  2. 2.Universidad de MálagaMálagaSpain

Personalised recommendations