基于随机森林的无线传感器通信网络阻塞故障检测

doi:10.13229/j.cnki.jdxbgxb.20220226

Abstract

Abstract:

The channel distribution of wireless sensor communication network is complex， and it is greatly affected by external factors， resulting in low accuracy of fault detection. Therefore， a method of wireless sensor communication network blocking fault detection based on random forest is proposed. The change of attribute vector of sample set is simulated by preset random variables under the two states of blocking fault and non-blocking fault， and the decision threshold is set. Considering the influence of external factors， random forest decision rules are established， sample datas are input， external intervention factors through preset variables simulated， make the detection results approach the true value， and iterated until the detection results based on the decision threshold meet the rules. The simulation results show that the detection results of the proposed method are in good agreement with the measured values， and can also ensure the detection accuracy in the presence of interference environment， with short time consumption.

Key words: wireless sensor communication network, blocking fault, attribute vector, random forest decision rules, external intervention

CLC Number:

TN382

Ya-rang YANG,Yun-hu WU. Blockage fault detection of wireless sensor communication network based on random forest[J].Journal of Jilin University(Engineering and Technology Edition), 2023, 53(5): 1490-1495.

Figures/Tables 5

Fig.1

Table 1

Whether there is an estimation description of the output results"

参数	结果	输出值	取值描述
$P β$	无偏估计	1，2	符合真实值概率低于70%及30%
$P β$	有偏估计	0	符合真实值概率高于70%。
$P β'$	无偏估计	1，2	符合真实值概率低于70%及30%
$P β'$	有偏估计	0	符合真实值概率高于70%。

Table 1

Fig.2

Fig.3

Fig.4

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