Hierarchical Collective Agent Network (HCAN) for efficient fusion and management of multiple networked sensors

Authors:
Qiuming Zhu;Stuart L. Aldridge;Tomas N. Resha
Affiliations:
Department of Computer Science, College of Information Science and Technology, University of Nebraska at Omaha, Omaha, NE 68182-0500, USA;21st Century Systems, Inc., 6825 Pine Street, Omaha, NE 68106, USA;21st Century Systems, Inc., 6825 Pine Street, Omaha, NE 68106, USA
Venue:
Information Fusion
Year:
2007

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Abstract

Agent-based software systems and applications are constructed by integrating diverse sets of components that are intelligent, heterogeneous, distributed, and concurrent. This paper describes a multi-agent system to assure the operation efficiency and reliability in data fusion and management of a set of networked distributive sensors (NDS). We discuss the general concept and architecture of a Hierarchical Collective Agent Network (HCAN) and its functional components for learning and adaptive control of the NDS. Sophistication of a HCAN control environment and an anatomy of the agent modules for enabling intelligent data fusion and management are presented. An exemplar HCAN is configured to support dynamic data fusion and automated sensor management in a simulated distributive and collaborative military sensor network for Global Missile Defense (GMD) application.