Abstract: The objective of this research is to develop a theory of “ActionWebs”, that is, networked embedded sensor-rich systems, which can be tasked to coordinate multiple decision- makers. The approach is to first identify models of ActionWebs using stochastic hybrid systems, an interlinking of continuous dynamical physical models with discrete state representations of interconnection and computation. Second, algorithms will be designed for tasking individual sensors, based on information objectives for the entire system.

The world is increasingly experiencing a strong need for energy consumption reduction and for efficient use of scarce natural resources. Official studies report that buildings account for the largest portion of World’s energy expenditure and have the fastest growth rate.