[1]董静薇,杨光,刘洋,等. 无线传感器网络的DV-Hop 定位算法改进[J].哈尔滨理工大学学报,2018,(01):132-136.[doi:10. 15938 /j. jhust. 2018. 01. 024]
 DONG Jing-wei,YANG Guang,LIU Yang,et al. The Improvement Based on the DV-Hop LocalizationAlgorithm for Wireless Sensor Networks[J].哈尔滨理工大学学报,2018,(01):132-136.[doi:10. 15938 /j. jhust. 2018. 01. 024]
点击复制

 无线传感器网络的DV-Hop 定位算法改进()
分享到:

《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2018年01期
页码:
132-136
栏目:
材料科学与工程
出版日期:
2018-02-25

文章信息/Info

Title:
 The Improvement Based on the DV-Hop Localization
Algorithm for Wireless Sensor Networks
文章编号:
1007- 2683( 2018) 01- 0132- 05
作者:
 董静薇 杨光 刘洋 张天琦
( 哈尔滨理工大学测控技术与仪器黑龙江省高校重点实验室,黑龙江哈尔滨150080)
Author(s):
 DONG Jing-wei YANG Guang LIU Yang Zhang Tian-qi
 Higher Educational Key Laboratory for Measuring-control Technology and Instrumentations of Heilongjiang Province,
Harbin University of Science and Technology,Harbin 150080,China)
关键词:
 DV-Hop RSSI 最小二乘法
Keywords:
 DV-Hop RSSI total least squares ( TLS)
分类号:
TP399
DOI:
10. 15938 /j. jhust. 2018. 01. 024
文献标志码:
A
摘要:
 针对传统DV-Hop 算法存在定位精准度低这一缺陷,分析了影响传统DV-Hop 算法定
位精度的三点主要因素: 锚节点分布密度、平均跳距误差、极大似然法扩大误差。从算法的平均跳
距计算和节点坐标计算两个阶段入手,引入RSSI( Receive Signal Strength Indicator) 技术对平均跳距
计算过程进行优化处理,同时对未知节点坐标计算过程采用最小二乘法进行修正。仿真结果表明:
改进后的算法在测距精度上比原始算法提高了约30%; 在相对定位精度上提高了约35%。
Abstract:
 As the problems of lower localization accuracy appeared in the traditional DV-Hop algorithm,the
author analyzed three main factors that influence the localization accuracy of original DV-Hop algorithm which
started from the calculation of the average jump distance in algorithm and the calculation of node coordinates. The
author then proposed the calculation method of average jump distance based on the weighted correction of the RSSI
( Receive Signal Strength Indicator ) and the calculation method of unknown node coordinates based on the
correction of the total least squares ( TLS) . The simulation result shows that compared to the traditional DV-Hop
algorithm,the accuracy of the improved algorithm increased by about 30% in distance measurement as well as rose
approximately by 35% in relative localization precision.

相似文献/References:

[1]孙永全,郭建英,陈洪科,等.AMSAA模型可靠性增长预测方法的改进[J].哈尔滨理工大学学报,2010,(05):49.
 SUN Yong-quan,GUO Jian-ying,CHEN Hong-ke,et al.An Improved Reliability Growth Prediction Algorithm Based on AMSAA Model[J].哈尔滨理工大学学报,2010,(01):49.
[2]滕志军,李晓霞,郑权龙,等.矿井巷道的MIMO信道几何模型及其信道容量分析[J].哈尔滨理工大学学报,2012,(02):14.
 TENG Zhi-jun,LI Xiao-xia,ZHENG Quan-long.Geometric Model for Mine MIMO Channels and Its Capacity Analysis[J].哈尔滨理工大学学报,2012,(01):14.
[3]李艳苹,张礼勇.新训练序列下的改进OFDM符号定时算法[J].哈尔滨理工大学学报,2012,(02):19.
 LI Yan-ping,ZHANG Li-yong.An Improved Algorithm of OFDM Symbol Timing Based on A New Training Sequence[J].哈尔滨理工大学学报,2012,(01):19.
[4]赵彦玲,车春雨,铉佳平,等.钢球全表面螺旋线展开机构运动特性分析[J].哈尔滨理工大学学报,2013,(01):37.
 ZHAO Yan-ling,CHE Chun-yu,XUAN Jia-ping,et al.[J].哈尔滨理工大学学报,2013,(01):37.
[5]李冬梅,卢旸,刘伟华,等.一类具有连续接种的自治SEIR传染病模型[J].哈尔滨理工大学学报,2013,(01):73.
 LI Dong-mei,LU Yang,LIU Wei-hua.[J].哈尔滨理工大学学报,2013,(01):73.
[6]华秀英,刘文德.奇Hamiltonian李超代数偶部的非负Z-齐次导子空间[J].哈尔滨理工大学学报,2013,(01):76.
 HUA Xiu-ying,LIU Wen-de.[J].哈尔滨理工大学学报,2013,(01):76.
[7]桂存兵,刘洋,何业军,等.基于LCC谐振电路阻抗匹配的光伏发电最大功率点跟踪[J].哈尔滨理工大学学报,2013,(01):90.
 GUI Cun-bing,LIU Yong,HE Ye-jun.[J].哈尔滨理工大学学报,2013,(01):90.
[8]翁凌,闫利文,夏乾善,等.PI/TiC@Al2O3复合薄膜的制备及其电性能研究[J].哈尔滨理工大学学报,2013,(02):25.
 WENG Ling,YAN Li-wen,XIA Qian-shan.[J].哈尔滨理工大学学报,2013,(01):25.
[9]姜彬,林爱琴,王松涛,等.高速铣刀安全性设计理论与方法[J].哈尔滨理工大学学报,2013,(02):63.
 JIANG Bin,LIN Ai-qin,WANG Song-tao,et al.[J].哈尔滨理工大学学报,2013,(01):63.
[10]李星纬,李晓东,张颖彧,等.EVOH 磺酸锂电池隔膜的制备及微观形貌[J].哈尔滨理工大学学报,2013,(05):18.
 LI Xing- wei,LI Xiao- dong,ZHANG Ying- yu,et al.The Preparation and Microcosmic Morphology oEVOH- SO Li Lithium Ion Battery Septum[J].哈尔滨理工大学学报,2013,(01):18.

更新日期/Last Update: 2018-05-24