Towards a Reusable Design of a Positioning System for AAL Environments

  • Tomás Ruiz-López
  • Carlos Rodríguez-Domínguez
  • Manuel Noguera
  • José Luis Garrido
Part of the Communications in Computer and Information Science book series (CCIS, volume 309)


There exists a large diversity of decisions to be dealt with in the design and construction of positioning systems, each of them implying different advantages and disadvantages. We present a design proposal which aims to provide reusable and adaptable support to Location-based Systems, through a reconfigurable positioning service composed of interoperable components. The interest of the proposal concerns the combination between different methods, algorithms and technologies to be selected in run-time so as to take advantage of the benefits of each one of them. The positioning system aims to use that technology which is more beneficial taking into account the quality properties that need to be fulfilled at a given time. For instance, the proposal enables AAL solutions to address indoor and outdoor positioning by means of the same service switching dynamically and automatically between methods and technologies, and combine two different methods simultaneously to improve accuracy. This research work also describe results obtained from a competition with other proposals.


positioning systems SOA radio frequency non-functional requirements adaptation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Aalto, L., Gothlin, N., Korhonen, J., Ojala, T.: Bluetooth and WAP Push Based Location-Aware Mobile Advertising System. In: MobiSys 2004 (2004)Google Scholar
  2. 2.
    Alonso, J.M., Álvarez, A., Trivino, G., Hernández, N., Herranz, F., Ocaña, M.:: Towards People Indoor Localization Combining WiFi and Human Motion Recognition. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (2010)Google Scholar
  3. 3.
  4. 4.
    Blasco, R., Marco, Á., Casas, R., Ibarz, A., Coarasa, V., Asensio, Á.: Indoor Localization Based on Neural Networks for Non-dedicated ZigBee Networks in AAL. In: Cabestany, J., Sandoval, F., Prieto, A., Corchado, J.M. (eds.) IWANN 2009, Part I. LNCS, vol. 5517, pp. 1113–1120. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  5. 5.
    Bohn, J., Vogt, H.: Robust Probabilistic Positioning based on High-Level Sensor- Fusion and Map Knowledge. Technical Report No. 421Google Scholar
  6. 6.
  7. 7.
    Herranz, F., Ocaña, M., Bergasa, L.M., Sotelo, M.A., Barea, R., López, E., Hernández, N.: Sistema de Localización GPS y WiFi sobre PDA aplicado a un Sistema de Evacuación de EmergenciaGoogle Scholar
  8. 8.
    Kawaguchi, N.: WiFi Location Information System for Both Indoors and Outdoors. In: Omatu, S., Rocha, M.P., Bravo, J., Fernández, F., Corchado, E., Bustillo, A., Corchado, J.M. (eds.) IWANN 2009, Part I. LNCS, vol. 5518, pp. 638–645. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  9. 9.
    Kjærgaard, M.B.: A Taxonomy for Radio Location Fingerprinting. In: Hightower, J., Schiele, B., Strang, T. (eds.) LoCA 2007. LNCS, vol. 4718, pp. 139–156. Springer, Heidelberg (2007)CrossRefGoogle Scholar
  10. 10.
    Lin, T.N., Lin, P.C.: Performance Comparison of Indoor Positioning Techniques based on Location Fingerprinting in Wireless Networks (2005)Google Scholar
  11. 11.
    Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews 37(6) (2007)Google Scholar
  12. 12.
    Pahlavan, K., Li, X., Makela, J.P.: Indoor geolocation science and technology. IEEE Communications Magazine, 112–118 (2002)Google Scholar
  13. 13.
    Rodríguez-Domínguez, C., Benghazi, K., Noguera, M., Bermúdez-Edo, M., Garrido, J.L.: Dynamic Ontology-Based Redefinition of Events Intended to Support the Communication of Complex Information in Ubiquitous Computing. Journal of Network Protocols and Algorithms 2(3) ISSN 1943-3581Google Scholar
  14. 14.
    Ruiz-López, T., Garrido, J.L., Benghazi, K., Chung, L.: A Survey on Indoor Positioning Systems: Foreseeing a Quality Design. In: de Leon F. de Carvalho, A.P., Rodríguez-González, S., De Paz Santana, J.F., Rodríguez, J.M.C. (eds.) Distributed Computing and Artificial Intelligence. AISC, vol. 79, pp. 373–380. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Tomás Ruiz-López
    • 1
  • Carlos Rodríguez-Domínguez
    • 1
  • Manuel Noguera
    • 1
  • José Luis Garrido
    • 1
  1. 1.University of GranadaSoftware Engineering DepartmentGranadaSpain

Personalised recommendations