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Dynamic hierarchical committee for multiple agent decision in wireless sensor networks - art. no. 635755
Wang Xue ; Wang Sheng ; Jiang Aiguo
2010-05-10 ; 2010-05-10 ; OCT 13-15, 2006
会议名称Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, Pts 1 and 2 ; 6th International Symposium on Instrumentation and Control Technology ; Beijing, PEOPLES R CHINA ; Web of Science
关键词wireless sensor networks dynamic hierarchical committee decision mobile agent Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Instruments & Instrumentation Optics Imaging Science & Photographic Technology
中文摘要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 subcommittees 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.
会议录出版者SPIE-INT SOC OPTICAL ENGINEERING ; BELLINGHAM ; 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
语种英语 ; 英语
内容类型会议论文
源URL[http://hdl.handle.net/123456789/19349]  
专题清华大学
推荐引用方式
GB/T 7714
Wang Xue,Wang Sheng,Jiang Aiguo. Dynamic hierarchical committee for multiple agent decision in wireless sensor networks - art. no. 635755[C]. 见:Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, Pts 1 and 2, 6th International Symposium on Instrumentation and Control Technology, Beijing, PEOPLES R CHINA, Web of Science.
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