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

Qiuming Zhu; Stuart L. Aldridge; Tomas N. Resha

doi:10.1016/j.inffus.2005.04.002

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

Qiuming Zhu, Stuart L. Aldridge, Tomas N. Resha

Computer Science

Research output: Contribution to journal › Article › peer-review

16 Scopus citations

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.

Original language	English (US)
Pages (from-to)	266-280
Number of pages	15
Journal	Information Fusion
Volume	8
Issue number	3
DOIs	https://doi.org/10.1016/j.inffus.2005.04.002
State	Published - Jul 2007

Keywords

Agent technology
Data fusion
Hierarchical collective agent network
Learning and adaptive control
Sensor management

ASJC Scopus subject areas

Software
Signal Processing
Information Systems
Hardware and Architecture

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10.1016/j.inffus.2005.04.002

Cite this

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

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.",

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AU - Zhu, Qiuming

AU - Aldridge, Stuart L.

AU - Resha, Tomas N.

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N2 - 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.

AB - 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.

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KW - Hierarchical collective agent network

KW - Learning and adaptive control

KW - Sensor management

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

Abstract

Keywords

ASJC Scopus subject areas

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