SimConnector: An approach to testing disaster-alerting systems using agent based simulation models

作者: Giancarlo Fortino , Amir Hussain , Muaz Niazi , Qasim Siddique

DOI:

关键词: Computer scienceFire-resistance ratingOperations researchSoftware agentSimulation modelingDecision support systemSoftware systemProof of conceptComplex adaptive systemSet (abstract data type)Systems engineering

摘要: The design, development and testing of intelligent disaster detection alerting systems pose a set non-trivial problems. Not only are such difficult to design as they need accurately predict real-world outcomes using distributed sensing various parameters, also generate an optimal number timely alerts when the actual strikes. In this paper, we propose SimConnector Emulator, novel approach for agent-based simulations means validation. basic idea is use event data allow responses software system real-time events. As proof concept, have developed Forest Fire Disaster Detection Alerting System, which uses Intelligent Decision Support based on internationally recognized rating index, namely Weather Index (FWI). Results extensive demonstrate effectiveness SimCon-nector applications, in general detection/alerting systems, particular.

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