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Article
Hierarchical Collective Agent Network (HCAN) for efficient 3 fusion and management of multiple networked sensors
Information Fusion
  • Qiuming Zhu, University of Nebraska at Omaha
  • Stuart L. Aldridge
  • Tomas N. Resha
Document Type
Article
Publication Date
7-1-2007
Disciplines
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.
Comments

The final published version of this article can be found at: doi:10.1016/j.inffus.2005.04.002.

© 2007. This manuscript version is made available under the CC-BY-NC-ND 4.0 licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/

Citation Information
Qiuming Zhu, Stuart L. Aldridge and Tomas N. Resha. "Hierarchical Collective Agent Network (HCAN) for efficient 3 fusion and management of multiple networked sensors" Information Fusion Vol. 8 Iss. 3 (2007) p. 266 - 280
Available at: http://works.bepress.com/qiuming-zhu/10/