1st International ICST Conference on Ambient Media and Systems

Research Article

Emergency Response Simulation Using Wireless Sensor Networks

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  • @INPROCEEDINGS{10.4108/ICST.AMBISYS2008.2903,
        author={Avgoustinos Filippoupolitis and Laurence Hey and Georgios Loukas and Erol Gelenbe and Stelios Timotheou},
        title={Emergency Response Simulation Using Wireless Sensor Networks},
        proceedings={1st International ICST Conference on Ambient Media and Systems},
        publisher={ICST},
        proceedings_a={AMBI-SYS},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/ICST.AMBISYS2008.2903}
    }
    
  • Avgoustinos Filippoupolitis
    Laurence Hey
    Georgios Loukas
    Erol Gelenbe
    Stelios Timotheou
    Year: 2010
    Emergency Response Simulation Using Wireless Sensor Networks
    AMBI-SYS
    ICST
    DOI: 10.4108/ICST.AMBISYS2008.2903
Avgoustinos Filippoupolitis1,*, Laurence Hey1,*, Georgios Loukas1,*, Erol Gelenbe1,*, Stelios Timotheou1,*
  • 1: Intelligent Systems and Networks Group, Imperial College London, South Kensington Campus, SW7 2BT, UK
*Contact email: afil@imperial.ac.uk, laurence.hey@imperial.ac.uk, gl1@imperial.ac.uk, e.gelenbe@imperial.ac.uk, stelios.timotheou@imperial.ac.uk

Abstract

During emergency response situations, decisions have to be made in a timely manner. Multiple entities have to be op- timally coordinated and numerous resources must be allo- cated efficiently, creating a very interesting and challenging technical problem. In this paper we present a simulation system that models the evacuation of a multi-storey build- ing. Autonomous intelligent agents are used to represent various types of actors that interact inside a virtual physi- cal world. We also model virtual hazards, such as fire, that spread inside the building evacuation simulator. A real wire- less sensor network is used to monitor the spread of the haz- ards while an external event generator provides input to the sensors. We study the effect of different disaster scenarios and agent behaviours, such as human behaviour during an emergency, on the result of the evacuation procedure. Our initial results indicate that the safety of the evacuees and the evacuation time depend on local interactions between the participants and are affected by the actors’ decisions. The integration with the wireless sensor network gives us the opportunity to investigate the effect of sensed informa- tion on resource allocation and allows us to study the impact of network issues on the decision making process.