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作 者:章学渊 ZHANG Xue-yuan(Department of Commare and Electionic Information,Tongcheng Teacher’s College,Tongcheng 231401,China)
机构地区:[1]桐城师范高等专科学校商贸与电子信息系,安徽桐城231401
出 处:《辽东学院学报(自然科学版)》2023年第3期206-212,共7页Journal of Eastern Liaoning University:Natural Science Edition
摘 要:ZigBee无线通信网络入侵探测节点定位时,受入侵信号和噪声信号的影响会导致定位误差大、定位时间长和定位能耗高等问题,提出ZigBee无线通信网络入侵探测节点倒追定位方法。采用小波包消噪方法去除入侵信号噪声;利用集合经验模态分解法分解去噪后的入侵信号,筛选入侵信号特征并获取其能量;构建无线传感器网络入侵检测模型,通过模型对入侵探测节点进行感知和倒追定位。实验结果表明,所提方法的定位误差最大值为15,定位时间最大值为26.7 s,定位能耗为40 J,具有较高的准确度和有效性。Aiming at the problems of large positioning error,long positioning time and high positioning energy consumption caused by intrusion signal and noise signal in ZigBee wireless communication network intrusion detection node positioning,a ZigBee wireless communication network intrusion detection node backtracking positioning method was proposed.The wavelet packet denoising method was used to remove the intrusion signal noise.The ensemble empirical mode decomposition method was used to decompose the denoised intrusion signal,screen the characteristics of the intrusion signal and obtain its energy.The intrusion detection model of wireless sensor network was constructed,and the intrusion detection nodes were sensed and located by the model.The experimental results show that the maximum positioning error of the proposed method is 15,the maximum positioning time is 26.7 s,and the positioning energy consumption is 40 J,which has high accuracy and effectiveness.
关 键 词:ZigBee无线通信网络 入侵探测节点 倒追定位 集合经验模态分解法 小波包消噪方法
分 类 号:TN915.08[电子电信—通信与信息系统]
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