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基于信标节点密度的DV-Hop改进算法 被引量:8

Ameliorative algorithm of DV-Hop based on density of beacon nodes
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摘要 针对无线传感器网络定位算法DV-Hop定位误差大的问题,提出一种基于信标节点密度的改进算法。分析导致DV-Hop算法定位精度低的原因,指出衡量尺度在定位中的重要性;给出信标节点密度的定义及其三维图形;利用信标节点密度对平均每跳距离进行修正,确定最优修正参数。以信标节点为中心,对未知节点坐标进行重新定位。MATLAB仿真平台上的实验结果表明,与原DV-Hop算法相比,改进算法对定位精度有了6%-10%的提高。 Based on beacon node density,an ameliorative DV-Hop algorithm was presented to reduce the localization error in wireless sensor networks.Not only the causes of low location accuracy were analyzed for the DV-Hop algorithm,but also the importance of the measurement scale was showed in positioning.The definition and 3D graphics of beacon node density were put forward and illustrated,respectively.The average hop distance was corrected based on beacon node density to determine the optimal correction parameters.Taking beacon node as the center,the positions were reset for the unknown nodes.Experimental results of MATLAB simulation show that the proposed algorithm increases the location accuracy by 6%-10% comparing with the original DV-Hop algorithm.
作者 黄文永 王亚民 卢源远 解忧 HUANG Wen-yong, WANG Ya rain, LU Yuan yuan, XIE You(College of Sciences, Xi'an University of Science and Technology, Xi'an 710054, Chin)
出处 《计算机工程与设计》 北大核心 2018年第6期1541-1545,共5页 Computer Engineering and Design
基金 陕西省自然科学基础研究计划基金项目(2014JQ8335) 教育部高等学校大学物理课程教指委教学研究立项基金项目(DWJZW201515xb)
关键词 无线传感器网络 DV-HOP算法 信标节点密度 三维图形 重新定位 wireless sensor network DV-Hop algorithm density of beacon nodes 3D visualization relocation
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