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基于局部采样模式的无线传感器节点定位 被引量:1

Localization of Wireless Sensor Nodes Based on Local Sampling Pattern
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摘要 提出一种局部采样模式的无线传感器节点定位算法,首先在与锚节点进行通信的交叠区域采样,然后利用距离比例因子计算平均跳距权值,最后采用颜色差值序列对样本点进行滤波,得到节点的位置.采用仿真实验对算法的性能进行了测试,结果表明,相对其他无线传感器节点定位算法,该算法可以满足多目标的实时定位要求,定位误差大幅度降低,定位效果更佳. Wireless sensor node localization algorithm based on a local sampling mode is proposed. Firstly, sampling is carried out in the overlapping region of the anchor node, and then distance scaling factor to calculate the average hop distance weights, and hop distance calculation of traditional algorithm is improved, and the color difference sequence algorithm is used to get the node position. The results show that the localization error of the algorithm is greatly reduced,and the localization effect is better.
作者 吴明慧
出处 《内蒙古师范大学学报(自然科学汉文版)》 CAS 北大核心 2017年第1期36-39,共4页 Journal of Inner Mongolia Normal University(Natural Science Edition)
基金 河南省重点科技计划攻关项目(152102310239)
关键词 传感器网络 节点定位 交叠区域 平均跳距 距离比例因子 sensor networks node localization overlapping region average hop distance distance scaling factor
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