Adaptive Risk Management in Distributed Sensor Networks

The risk management in a distributed sensor network charged to put environmental variables under control is receiving great attention in recent years. We propose a framework that considers an high level model together with a distributed system based on adaptive agents able to handle the complete risk lifecycle at various levels of responsibility. The paper first describes the risk modeling problem in a distributed sensor network, then introduces three fundamental agent types: the risk monitoring, the local monitoring and the global monitoring, used to build a network that supports risk management in a distributed environment. Then, the adaptive management of risk exposure is described in terms of a decision process based on a tight cooperation among Local Monitoring Agents. The framework is general enough to be applied in several appication domain.