Scale-free networks of collaborative processes to design distributed control systems

Pervasive computing is offering a level of personalized control over complex and distributed systems.We have designed a system using a communication network that displays a high degree of scale free behavior described by power law. Scale-free systems guarantee aggregation that is useful in building automation, sensors grid management and power generator grids. Synchronizability and stability are main problems of different processes.In order to keep a system stable and easy to manage is useful to have a scale-free structure. A mathematical model was used to define synchronizability criteria. At last, using aweighting scheme, the system was able to create scale-free networks with scale-free aggregates. The schema is activated when processes exchange run in the network. The design approach is valuable because it is one of the first attempts to use scale-free approach to design control systems.There are functional advantages of a scale free network topology. A scale-free network displays high degree of tolerance against random failures as only a few prominent hubs dominate their topology. However, vulnerability of hub is a risk to system reliability