Spatio-Temporal Graph for Improvement of Decision-Making in Risks Treatment

Failures that hinder the proper functioning of complex systems are characterised by frequencies of occurrence, rates of evolution, and variables periodicities. Indeed, a good design of this kind of system requires the elaboration of an adapted analysis and modelling approach, which takes into account the spatial-temporal dynamics of the systems elements dysfunction. This paper proposes a spatio-temporal modelling approach integrated into a risk management methodology. This modelling allows both to describe the evolution of the system in space and in time and to follow the spatial and temporal scope of a failure of the system in order to improve decision making in choosing the appropriate corrective action. The elements of the methodology are illustrated and validated by a case study of a wireless sensor network system.