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计算机工程 ›› 2007, Vol. 33 ›› Issue (09): 58-59,8.

• 软件技术与数据库 • 上一篇    下一篇

一种无线传感网络信息处理的层次型智能方法

戴志锋1,李元香2,刘 峰1,王伟武2   

  1. (1. 武汉大学计算机学院,武汉 430072;2. 武汉大学软件工程国家重点实验室,武汉 430072)

  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-05-05 发布日期:2007-05-05

Hierarchical Intelligent Method of Information Processing in Wireless Sensor Networks

DAI Zhifeng1, LI Yuanxiang2, LIU Feng1, WANG Weiwu2   

  1. (1. School of Computer, Wuhan University, Wuhan 430072; 2. State Key Laboratory of Software Engineering, Wuhan University, Wuhan 430072)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-05-05 Published:2007-05-05

摘要:

针对减少无线传感器网络信息获取和处理代价这一关键性问题,提出了将信息处理和粗糙集技术融为一体的新的研究思路,并设计了一种层次型智能信息处理方法。在无线传感器网络实时森林火灾监测的实际应用中,该方法通过从3个层次进行智能数据分析,使传感器节点仅自动获取和传送有用的最小数据集信息,从而有效地使用节点受限资源。

关键词: 无线传感器网络, 层次型智能信息处理, 粗糙集, 能量效率

Abstract: Considering the key issue with respect to reducing the cost of obtaining and processing information in wireless sensor networks, this paper proposes a new research idea coupling rough set theory with the information processing. A hierarchical intelligent information processing method is presented. Meanwhile, in practice, by intelligent data analysis on three levels, i.e. local data processing, data fusion in each cluster, global attribute reduction and rule generation, a wireless sensor network paradigm for real-time forest fire detection shows that the novel approach can make it achievable for the sensor nodes to extract and transmit only the useful minimum set of high quality information automatically, leading to maximum utilization of the constrained resources on sensor nodes.

Key words: Wireless sensor networks(WSN), Hierarchical intelligent information processing, Rough set, Energy efficiency

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