基于可变采样频率的无线传感器网络信任模型

Wang Na, DongQian Liu
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引用次数: 1

摘要

传统的监测传感器采样频率是固定的。无论是频率过高还是过低,都容易引起一些问题。本文首先提出了可变采样频率传感器及其控制算法。考虑到无线传感器网络中部分节点故障的特殊情况,提出了一种基于变采样频率的信任模型。它是对原有模型的改进,具有更高的故障检测率。此外,该模型可以在较短的时间内检测到故障。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trust model based on changeable sampling frequency for wireless sensor network
Traditional monitoring sensor has fixed sampling frequency. Whether the frequency is too high or too low, it is easy to cause some problems. This paper firstly puts forward sensor with changeable sampling frequency and its control algorithm. Considering the special circumstance that some nodes of the wireless sensor network are faulty, a trust model based on changeable sampling frequency. It is an improvement on our former models which has higher fault detection rate. Moreover, the model can detect fault in shorter time duration.
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