An Adaptive, Negotiating Multi-Agent System for Sensor Webs
Project Award Date: 12-01-2006
Description
Node interaction improves sensing through intelligent, informed changes to specific parts of the Sensor Web. Research treats nodes, or pods, as agents in a multi-agent environment. ITTC investigators use the observations of a pod or of a group of pods to guide future data collection activities of the Sensor Web or of large pieces of it. They will develop techniques to identify significant events in the sensed data, which trigger the need to adaptively form pod coalitions and to collaborate for more effective sensing and processing. Researchers will develop task planning behavior. Pods will react to the world they sense and use this information to plan the execution of their behavior now and in the future. In turn, they will prepare the appropriate pod coalitions. Rational behavior is achieved through negotiation for sensing and processing resources, assuring that pods agree to collaborate only when it improves the utility of the whole Web. Research involves the areas of multi-agent systems, event monitoring, coalition formation, and negotiation between autonomous agents that leads to maximizing the group utility.
Investigators
Faculty Investigator(s): Arvin Agah (PI)
Student Investigator(s): Najla Ahmad, Christopher Redford, Meeyoung Park, Namrata Barve, Maryamossadat Nematollahi Mahani
Project Sponsors
Primary Sponsor(s): NASA Goddard Space Center
