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Data Reduction Algorithms for Wireless Sensor Networks in Environment Monitoring and Warning Applications

机译:环境监测和预警应用中无线传感器网络的数据约简算法

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摘要

This work presents an algorithm that can monitor the environment frequently, informing of sudden changes in the data and warn of over-threshold of data, while reducing data transfer to the sink node in order to reduce energy consumption. In the experiments executed, the results show that monitoring, informing and warning networks are worked completely when this algorithm is embedded for sensor nodes of wireless sensor networks respectively. Producing experiments measuring water level and temperature via a wireless sensor network, the received results show that the information at sink node including usual environment data, sudden changing environment data and data-overflow of pre-defined threshold is preserved. Using this algorithm the numbers of total sensed data which are sent to the sink node are decreased, and the energy consumption of sensor nodes is saved effectively. The sensor node saves energy, thus the lifetime of whole network is prolonged.
机译:这项工作提出了一种算法,该算法可以经常监视环境,通知数据突然变化并警告数据阈值过高,同时减少将数据传输到接收器节点以减少能耗。在进行的实验中,结果表明,将算法分别嵌入到无线传感器网络的传感器节点中,可以完全监视,通知和警告网络。通过无线传感器网络进行的测量水位和温度的生产实验,接收到的结果表明,汇水点节点的信息得以保留,包括通常的环境数据,突发性环境数据和预定义阈值的数据溢出。使用该算法,减少了发送到宿节点的总传感数据的数量,并有效地节省了传感器节点的能耗。传感器节点节省能源,从而延长了整个网络的寿命。

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