无线传感器网络中的网内信息处理技术

无线传感器网络（WSN）的传输技术发展迅速,但单纯的传输原始感知数据并不能满足传感器网络应用日益发展的智能化需求。传感器网络的网内信息处理技术在原始采集数据的基础上,将大量的信息处理和计算移植到传感网内部进行,从海量的、杂乱无章的、难以理解的原始数据中抽取并推导出对于某些特定的用户来说具有特定意义和判决参考价值的数据。网内信息处理技术能够降低网络数据传输量、节约能量资源、提高数据精度、减小传输延迟,以达到提高网络性能,高度契合用户信息需求的目标,是未来传感器网络技术发展的重要方向。

Network Information Processing in Wireless Sensor Networks

The transmission technology of Wireless Sensor Networks （WSNs） has developed rapidly; however, it cannot follow the steps of intelligent applications of the future WSN by just transmitting the original data. Network information processing transfers the majority of processing and computing works into WSN based on original data collection, A mass of incomprehensible original data is extracted and inferred into meaningful and consultable data to some certain users. Meanwhile, by network information processing, the data transmission account and latency are decreased; the energy efficiency and data accuracy are increased. Network information processing for advancing network performance and according to users＇ information requirements is one of the most important development directions of the future WSN.