首页 | 官方网站   微博 | 高级检索  
     

基于RSSI测距的DV-Hop算法
引用本文:刘三阳,胡亚静,张朝辉.基于RSSI测距的DV-Hop算法[J].控制与决策,2017,32(10):1900-1904.
作者姓名:刘三阳  胡亚静  张朝辉
作者单位:西安电子科技大学数学与统计学院,西安710126,西安电子科技大学数学与统计学院,西安710126,西安电子科技大学数学与统计学院,西安710126
基金项目:国家自然科学基金项目(61373174);中央高校基本科研业务费专项资金项目(150716).
摘    要:由于DV-Hop算法在不均匀网络中节点定位精度不高,以及RSSI算法受环境因素影响较大,将RSSI算法与DV-Hop算法相结合,提出一种利用RSSI测距技术改进DV-Hop的算法-----BRDV-Hop算法.该算法应用RSSI测距技术,定义信标节点的平均跳距误差,并利用信标节点的平均跳距误差对未知节点与信标节点之间的距离进行修正,从而达到减小定位误差的目的.仿真结果表明,与标准的DV-Hop算法相比,在不增加传感器节点硬件的基础上,改进算法能有效降低定位误差.

关 键 词:节点定位  RSSI测距技术  DV-Hop算法  无线传感器网络

Improved DV-Hop localization method based on RSSI
LIU San-yang,HU Ya-jing and ZHANG Zhao-hui.Improved DV-Hop localization method based on RSSI[J].Control and Decision,2017,32(10):1900-1904.
Authors:LIU San-yang  HU Ya-jing and ZHANG Zhao-hui
Affiliation:School of Mathematics and Statics,Xidian University,Xián 710126,China,School of Mathematics and Statics,Xidian University,Xián 710126,China and School of Mathematics and Statics,Xidian University,Xián 710126,China
Abstract:Due to the fact that the DV-Hop algorithm has low positioning accuracy while the RSSI algorithm is greatly affected by environmental factors, this paper presents a BRDV-Hop algorithm by combinning the character of RSSI and DV-HOP. To improve computational efficiency, the RSSI distance measuring technique is intergrated into the presented algorithm. By utilizing the distance measuring technique, the average hop distance difference of beacon node is firstly defined, and then the distances of unknown nodes and the beacon nodes are adjusted by using the average hop distance difference of the beacon nodes, such that the location difference is significantly decreased. Simulation results show that, without increasing the sensor nodes, improved algorithm performs much better than the standard DV-Hop algorithm.
Keywords:
点击此处可从《控制与决策》浏览原始摘要信息
点击此处可从《控制与决策》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号