Hierarchical Collective Agent Network (HCAN) for efficient 3 fusion and management of multiple networked sensors

Authors

Qiuming Zhu, University of Nebraska at OmahaFollow
Stuart L. Aldridge
Tomas N. Resha

Document Type

Article

Publication Date

7-2007

Publication Title

Information Fusion

Volume

8

Issue

3

First Page

266

Last Page

280

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/

Recommended Citation

Zhu, Qiuming; Aldridge, Stuart L.; and Resha, Tomas N., "Hierarchical Collective Agent Network (HCAN) for efficient 3 fusion and management of multiple networked sensors" (2007). Computer Science Faculty Publications. 30.
https://digitalcommons.unomaha.edu/compscifacpub/30