一种无线传感网络信息处理的层次型智能方法

Hierarchical Intelligent Method of Information Processing in Wireless Sensor Networks

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。

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.