Agent Technology and Wireless Sensor Networks for Monitoring Patients in Residences and Their Homes

  • Ricardo S. Alonso
  • Dante I. Tapia
  • Gabriel Villarrubia
  • Juan F. De Paz
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 365)


This paper presents an intelligent multi-agent system aimed at improving healthcare and assistance to elderly and dependent people in geriatric residences and their homes. The system is based on the PANGEA and HERA platforms and integrates a set of autonomous reactive and deliberative agents designed to support the carers’ activities and to guarantee that the patients are given the right care. The system makes use of Wireless Sensor Networks and a Real-Time Locating System for providing autonomous responses according to the environment status. A case study where the multi-agent system has been tested in several real environments is presented.


multi-agent systems deliberative agents real-time locating systems wireless sensor networks health care 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    WHO: Global Age-friendly Cities: A Guide. World Health Organization (2007)Google Scholar
  2. 2.
    Emiliani, P.L., Stephanidis, C.: Universal access to ambient intelligence environments: Opportunities and challenges for people with disabilities. IBM Systems Journal (2005)Google Scholar
  3. 3.
    Wooldridge, M., Jennings, N.R.: Agent Theories, Architectures, and Languages: A Survey. In: Wooldridge, M.J., Jennings, N.R. (eds.) ECAI 1994 and ATAL 1994. LNCS, vol. 890, pp. 1–39. Springer, Heidelberg (1995)CrossRefGoogle Scholar
  4. 4.
    Sarangapani, J.: Wireless Ad hoc and Sensor Networks: Protocols, Performance, and Control, 1st edn. CRC (2007)Google Scholar
  5. 5.
    Nerguizian, C., Despins, C., Affès, S.: Indoor Geolocation with Received Signal Strength Fingerprinting Technique and Neural Networks. In: de Souza, J.N., Dini, P., Lorenz, P. (eds.) ICT 2004. LNCS, vol. 3124, pp. 866–875. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Zato, C., Villarrubia, G., Sánchez, A., Barri, I., Rubión, E., Fernández, A., Rebate, C., Cabo, J.A., Álamos, T., Sanz, J., Seco, J., Bajo, J., Corchado, J.M.: PANGEA – Platform for Automatic coNstruction of orGanizations of intElligent Agents. In: Omatu, S., Paz Santana, J.F., González, S.R., Molina, J.M., Bernardos, A.M., Rodríguez, J.M.C. (eds.) Distributed Computing and Artificial Intelligence. AISC, vol. 151, pp. 229–240. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  7. 7.
    Alonso, R.S., Tapia, D.I., Bajo, J., García, O., De Paz, J.F., Corchado, J.M.: Implementing a hardware-embedded reactive agents platform based on a service-oriented architecture over heterogeneous wireless sensor networks. Ad Hoc Networks 11(1), 151–166 (2013) ISSN 1570-8705, 10.1016/j.adhoc.2012.04.013Google Scholar
  8. 8.
    Camarinha-Matos, L., Afsarmanesh, H.: Design of a Virtual Community Infrastructure for Elderly Care. In: Camarinha-Matos, L.M. (ed.) Proceedings of PRO-VE 2002, Sesimbra, Portugal (2002)Google Scholar
  9. 9.
    Kohn, L.T., Corrigan, J.M., Donaldson, J.: To Err is human: Building a Safer Health System. Committee on Quality of Health Care in America Institute of Medicine. National Academy Press, Washington, DC (1999)Google Scholar
  10. 10.
    Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Trans. Syst. Man Cybern. Part C-Appl. Rev. 37, 1067–1080 (2007)CrossRefGoogle Scholar
  11. 11.
    Tapia, D.I., De Paz, J.F., Rodríguez, S., Bajo, J., Corchado, J.M.: Multi-Agent System for Security Control on Industrial Environments. International Transactions on System Science and Applications Journal 4(3), 222–226 (2008)Google Scholar
  12. 12.
    Ding, B., Chen, L., Chen, D., Yuan, H.: Application of RTLS in Warehouse Management Based on RFID and Wi-Fi. In: 4th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2008, pp. 1–5 (2008)Google Scholar
  13. 13.
    Stelios, M.A., Nick, A.D., Effie, M.T., et al.: An indoor localization platform for ambient assisted living using UWB. In: Proceedings of the 6th International Conference on Advances in Mobile Computing and Multimedia, pp. 178–182. ACM, Linz (2008)CrossRefGoogle Scholar
  14. 14.
    Lanzola, G., Gatti, L., Falasconi, S., Stefanelli, M.: A Framework for Building Cooperative Software Agents in Medical Applications. Artificial Intelligence in Medicine 16(3), 223–249 (1999)CrossRefGoogle Scholar
  15. 15.
    Decker, K., Li, J.: Coordinated Hospital Patient Scheduling. In: Proceedings of the Third International Conference on Multi Agent Systems, Paris, France, pp. 104–111 (1998)Google Scholar
  16. 16.
    Corchado, J.M., Bajo, J., Tapia, D.I., Abraham, A.: Using Heterogeneous Wireless Sensor Networks in a Telemonitoring System for Healthcare. IEEE Transactions on Information Technology in Biomedicine. Special Issue: Affective and Pervasive Computing for Healthcare 5518, 663–670 (2009)Google Scholar
  17. 17.
    Cerami, E.: Web Services Essentials: Distributed Applications with XML-RPC, SOAP, UDDI & WSDL, 1st edn. O’Reilly Media, Inc. (2002)Google Scholar
  18. 18.
    Nebusens n-Core®: A Faster and Easier Way to Create Wireless Sensor Networks, (accessed November 2012)
  19. 19.
    de Paz, J.F., Tapia, D.I., Alonso, R.S., Pinzón, C.I., Bajo, J., Corchado, J.M.: Mitigation of the ground reflection effect in real-time locating systems based on wireless sensor networks by using artificial neural networks. Knowl. Inf. Syst. 34, 193–217 (2013)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ricardo S. Alonso
    • 1
  • Dante I. Tapia
    • 1
  • Gabriel Villarrubia
    • 1
  • Juan F. De Paz
    • 1
  1. 1.Departamento Informática y AutomáticaUniversidad de SalamancaSalamancaSpain

Personalised recommendations