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计算机工程

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多层Agent 数据融合的无线传感器决策网络及其多样性研究

戴志锋1,2,李元香 2   

  1. (1. 湖北经济学院信息管理学院,武汉430205; 2. 武汉大学计算机学院,武汉430072)
  • 收稿日期:2014-08-14 出版日期:2015-03-15 发布日期:2015-03-13
  • 作者简介:戴志锋(1967 - ),男,副教授、博士,主研方向:智能信息处理,无线传感器网络,决策支持系统;李元香,教授、博士、博士生导师。
  • 基金资助:
    国家自然科学基金资助项目(61070009);国家重大科学仪器设备开发专项基金资助项目(2011YQ170065);湖北省教育厅科 学技术研究计划基金资助重点项目(D20121904, D20132202)。

Research on Wireless Sensor Decision Network of Multi-layer Agent Data Fusion and Its Multiplicity

DAI Zhifeng1,2,LI Yuanxiang2   

  1. (1. School of Information Management,Hubei University of Economics,Wuhan 430205,China;2. School of Computer,Wuhan University,Wuhan 430072,China)
  • Received:2014-08-14 Online:2015-03-15 Published:2015-03-13

摘要: 为实现无线传感器网络(WSN)原始感知数据融合中不确定分析的量化决策和智能处理,在WSN 层次化的数据融合机制下,引入粗糙集理论的决策表和决策网络智能技术,设计智能型和规则型2 类Agent,由此构建多层Agent 数据融合的无线传感器决策网络(WSDN)模型,并研究层间智能Agent 型和属性间规则Agent 型WSDN的多样性。应用结果表明,该模型能较好地适用于典型的WSN 场合,实现Agent 间的融合优化与智能决策。

关键词: 无线传感器决策网络, 智能Agent, 规则Agent, 多样性, 数据融合, 决策表

Abstract: Aiming at the realization of quantitative decision of uncertainty analysis and intelligent processing for raw sensor data fusion in Wireless Sensor Network(WSN),a model of multi-layer Agent data fusion type Wireless Sensor Decision Network(WSDN) is proposed. On the basis of the hierarchical data fusion mechanism in WSN,such intelligent technique characteristics as decision table and decision network of rough set theory are introduced to design intelligencebased Agent and rule-based Agent and thus construct the model,and the multiplicity of inter-layer intelligence Agentbased WSDN and inter-attribute rule Agent-based WSDN is studied. Application results show that WSDN can be better applied to the typical situations of WSN,and thus achieves the fusion optimization and intelligent decision among Agent.

Key words: Wireless Sensor Decision Network (WSDN), intelligence Agent, rule Agent, multiplicity, data fusion, decision table

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