4 research outputs found
Actor coordination using info-gap decision theory in wireless sensor and actor networks
Mobile, unmanned, power and resource-rich devices, called actors, deployed
within a Wireless Sensor Network (WSN) application area, enable faster response times to
events. Due to cost constraints, only a few actors can be placed within a WSN application
area. Determining which actor or set of actors should respond to an event is important,
because the correct decision will increase the event response time, and reduce energy
expenditure. Since the mobile actors are widely dispersed over the application area, the
actors' accurate location and energy details will not always be available. In this paper,
we show that using info-gap decision theory to choose the correct actors to respond to an
event when uncertainty about an actor's location and/or energy exists, ensures that the
actors chosen can adequately respond to the event. The robustness of the decision choice
of the set of actor(s) assigned to respond to an event means that all chosen actor(s) have
sufficient energy to respond to the event in real-time.http://www.inderscience.com/browse/index.php?journalCODE=ijsnetai201
Innovations and info-gaps : an overview
International audienceInfo-gap theory is a method for modeling and managing severe uncertainty and for prioritizing the options facing a decision maker. We consider uncertainty both in parameters and in the shape of functions. The analysis reveals intuitively meaningful concepts: the trade off between robustness and requirements, cost of robustness, zero robustness of predicted outcomes, innovation dilemmas, preference reversals resulting from uncertainty, and opportuneness from uncertainty. These insights underlie decision making under severe uncertainty. We consider an example of modeling a mechanical system