Progress in Artificial Intelligence

, Volume 1, Issue 2, pp 183–191 | Cite as

Double multiagent architecture for dynamic triage of victims in emergency scenarios

  • Estanislao MercadalEmail author
  • Sergi Robles
  • Ramon Martí
  • Cormac J. Sreenan
  • Joan Borrell
Regular Paper


This paper introduces a double multiagent architecture allowing the triage of victims in emergency scenarios and the automatic update of their medical condition. Gathering updated information about the medical condition of victims is critical for designing an optimal evacuation strategy that minimizes the number of casualties in the aftermath of an emergency. The proposed scheme, currently under development, combines Wireless Sensor Networks (WSN), an Electronic Triage Tag and a double multiagent system (Agilla-JADE) to achieve a low cost, no infrastructure-based, efficient system. Initial results of the WSN roaming done by Agilla agents are presented.


Mobile agents Wsn Emergency scenarios Multiagent architecture 


  1. 1.
    Basak S., Modanwal N., Mazumdar B.D.: Multi-agent based disaster management system: a review. Int. J. Comput. Sci. Technol. 2, 343–348 (2011)Google Scholar
  2. 2.
    Bellifemine, F.L., Caire, G., Greenwood, D.: Developing multi-agent systems with JADE. Wiley, New York (2007)Google Scholar
  3. 3.
    Cucurull, J., Ametller, J., Martí, R.: Agent mobility. In: Developing multi-agent systems with JADE, Wiley Inc., pp 115–130 (2007)Google Scholar
  4. 4.
    Dressler, F.: Self-Organization in Sensor and Actor Networks. Wiley, New York (2007)Google Scholar
  5. 5.
    Filippoupolitis, A., Gelenbe, E.: A decision support system for disaster management in buildings. In: Proceedings of the Summer Computer Simulation Conference, pp. 141–147, Istanbul, Turkey (2009)Google Scholar
  6. 6.
    Fok Ch-L., Roman G-C., Lu Ch.: Agilla: A mobile agent middleware for self-adaptive wireless sensor networks. ACM Trans. Auton. Adapt. Syst. 4(3), 1–26 (2009)CrossRefGoogle Scholar
  7. 7.
    Hill, J., Szewczyk, R., Woo, A., Hollar, S., Culler, D., Pister, K.: System architecture directions for networked sensors. In: Proceedings of the Ninth International Conference on Architectural Support for Programming Languages and Operating Systems, pp. 93–104. ACM (2000)Google Scholar
  8. 8.
    Iyengar, S.S., Parameshwaran, N., Phoha, V.V., Balakrishnan, N., Okoye, C.D.: Fundamentals of Sensor Network Programming: Applications and Technology. Wiley-IEEE Press (2010)Google Scholar
  9. 9.
    De Jong, K.A., Spears, W.M.: Using genetic algorithms to solve NP-complete problems (1989)Google Scholar
  10. 10.
    Larrañaga P., Kuijpers C.M.H., Murga R.H., Inza I., Dizdarevic S.: Genetic algorithms for the travelling salesman problem: A review of representations and operators. Artif. Intell. Rev. 13, 129–170 (1999). doi: 10.1023/A:1006529012972 CrossRefGoogle Scholar
  11. 11.
    Mackway-Jones, K. (ed.) Emergency triage, 2nd edn. Wiley, New York (2006)Google Scholar
  12. 12.
    Martí R., Robles S., Martín-Campillo A., Cucurull J.: Providing early resource allocation during emergencies: the mobile triage tag. J. Netw. Comput. Appl. 32, 1167–1182 (2009)CrossRefGoogle Scholar
  13. 13.
    Massaguer, D.: Multi mobile agent deployment in wireless sensor networks. Master’s thesis. University of California, Irvine (2005)Google Scholar
  14. 14.
    Mercadal, E., Robles, S., Martí, R., Sreenan, C., Borrell, J.: Heterogeneous multiagent architecture for dynamic triage of victims in emergency scenarios. In: In 9th International Conference on Practical Applications of Agents and Multiagent Systems (PAAMS), pp. 237–246 (2011)Google Scholar
  15. 15.
    Papadimitriou C.H.: The Euclidean travelling salesman problem is NP-complete. Theor. Comput. Sci. 4(3), 237–244 (1977)MathSciNetzbMATHCrossRefGoogle Scholar
  16. 16.
    Polastre, J., Szewczyk, R., Culler, D.: Telos: Enabling ultra-low power wireless research. In: IPSN ’05 Proceedings of the 4th International Symposium on Information Processing in Sensor Networks, pp. 364–369. ACM and IEEE (2005)Google Scholar
  17. 17.
    Quillinan, T. Brazier, F., Aldewereld, H., Dignum, V., Dignum, F., Penserini, L., Wijngaards, N.: Developing agent-based organizational models for crisis management. In: Proceedings of Eighth Joint Conference on Autonomous and Multi-Agent Systems (AAMAS 2009), pp. 45–52 (2009)Google Scholar
  18. 18.
    Schoenharl, T., Szabó, G., Madey, G., Barabási, A.-L.: Wiper: A multi-agent system for emergency response. In: Proceedings of ISCRAM (2006)Google Scholar
  19. 19.
    Shah, R.C., Roy, S., Jain, S., Brunette W.: Data mules: modeling a three-tier architecture for sparse sensor networks. In: Proceedings of Sensor Network Protocols and Applications (SNPA), pp. 30–41. IEEE (2003)Google Scholar
  20. 20.
    Super G.: START: a triage training module. Newport Beach, California: Hoag Memorial Hospital Presbyterian (1984)Google Scholar
  21. 21.
    Tadokoro, S., Kitano, H., Takahashi, T., Noda, I., Matsubara, H., Shinjoh, A., Koto, T., Takeuchi, I., Takahashi, H., Matsuno, F., Hatayama, M., Nobe, J., Shimada S.: The robocup-rescue project: a robotic approach to the disaster mitigation problem. In: Proceedings of ICRA, pp. 4089–4094 (2000)Google Scholar
  22. 22.
    Wang X., Chen M., Kwon T., Chao H.C.: Multiple mobile agents’ itinerary planning in wireless sensor networks: survey and evaluation. Commun. IET 5(12), 1769–1776 (2011)CrossRefGoogle Scholar
  23. 23.
    Wu Q., Rao N.S.V., Barhen J., Iyengar S.S., Vaishnavi V.K., Qi H., Chakrabarty K.: On computing mobile agent routes for data fusion in distributed sensor networks. IEEE Trans. Knowl. Data Eng. 16(6), 740–753 (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2012

Authors and Affiliations

  • Estanislao Mercadal
    • 1
    Email author
  • Sergi Robles
    • 1
  • Ramon Martí
    • 1
  • Cormac J. Sreenan
    • 2
  • Joan Borrell
    • 1
  1. 1.Departament of Information and Communications EngineeringUniversitat Autònoma de BarcelonaCerdanyola del VallèsSpain
  2. 2.Departament of Computer ScienceUniversity College CorkCorkIreland

Personalised recommendations