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Proceedings Paper

Dynamic hierarchical committee for mulitple agent decision in wireless sensor networks
Author(s): Xue Wang; Sheng Wang; Aiguo Jiang
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Paper Abstract

Decision methods for information processing affect significantly the efficiency and accuracy of networked sensing in wireless sensor networks. Mobile agent technology supplies an efficient cooperation mechanism, which can compensate the poor capability of single node. This paper proposes a dynamic hierarchical committee for multiple agent decision, which is a two-level structure: in the lower level, several sub-committees, concluding a local decision respectively, are dynamically organized by the energy-efficient optimization of adapted genetic algorithm; local decisions of sub-committees are nonlinearly combined in the upper level. The performance of dynamic hierarchical committee is verified through simulation and practical defect location of printed circuit board. The results show the proposed method can remarkably decrease the energy consumption with sacrifice of real-time. The confidence and accuracy of decision is more precise than centralized non-committee method.

Paper Details

Date Published: 6 November 2006
PDF: 6 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 635755 (6 November 2006); doi: 10.1117/12.717523
Show Author Affiliations
Xue Wang, Tsinghua Univ. (China)
Sheng Wang, Tsinghua Univ. (China)
Aiguo Jiang, Tsinghua Univ. (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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