GNSS World of China

Volume 46 Issue 4
Aug.  2021
Turn off MathJax
Article Contents
ZHANG Yuan, WANG Mei, MIAO Xianglin, DING Huang. A number of hops-corrected and hop distance optimization-based DV-Hop localization algorithm[J]. GNSS World of China, 2021, 46(4): 22-26. doi: 10.12265/j.gnss.2020121001
Citation: ZHANG Yuan, WANG Mei, MIAO Xianglin, DING Huang. A number of hops-corrected and hop distance optimization-based DV-Hop localization algorithm[J]. GNSS World of China, 2021, 46(4): 22-26. doi: 10.12265/j.gnss.2020121001

A number of hops-corrected and hop distance optimization-based DV-Hop localization algorithm

doi: 10.12265/j.gnss.2020121001
  • Received Date: 2020-12-10
    Available Online: 2021-08-11
  • Aiming at the problem of low localization accuracy of classical DV-Hop algorithm, caused by calculation of hop count and hop distance, number of hops-corrected and hop distance optimization-based DV-Hop localization (NHDL) algorithm is proposed in this paper. In NHDL algorithm, the received signal strength values among nodes are used to correct the number of hops. Then, the average distance of each hop of anchor nodes is modified by weighting factor. And the anchor nodes are selected through the concept of collinearity to reduce the localization error. The min-max method is adopted to calculate the position of node. The simulation results show that compared with the traditional DV-Hop algorithm, the average error of localization is reduced.

     

  • loading
  • [1]
    向满天, 王胜, 杨友华. 基于阈值机制与距离校正的WSN改进DV-Hop定位算法[J]. 传感技术学报, 2016, 29(6): 920-926. DOI: 10.3969/j.issn.1004-1699.2016.06.022
    [2]
    ZHU P C, XU B Q, LI J M, et al. Joint utility optimization for wireless sensor networks with energy harvesting and cooperation[J]. Science china information sciences, 2020, 63(2): 146-155. DOI: 10.1007/s11432-019-9936-y
    [3]
    姜媛媛, 余泳, 时美乐, 等. Bessel函数测距模型的RSSI测距方法[J]. 传感技术学报, 2020, 33(2): 279-285. DOI: 10.3969/j.issn.1004-1699.2020.02.019
    [4]
    邵小强, 李康乐, 陈熙, 等. 基于改进卡尔曼滤波和参数拟合的矿井TOA定位方法[J]. 煤炭学报, 2019, 44(5): 1616-1624.
    [5]
    孙莹莹, 张飞. 基于混合测距的二阶锥规划节点定位算法[J]. 计算机工程与设计, 2018, 39(7): 1841-1845.
    [6]
    刘登峰, 章力, 邴晓瑛, 等. 基于布谷鸟差分算法优化的DV-Hop改进算法[J]. 系统仿真学报, 2017, 29(4): 791-797.
    [7]
    胡玉兰, 于溪, 赵青杉. 一种改进的 DV-Hop 定位算法[J]. 太原师范学院学报(自然科学版), 2019, 18(3): 40-44, 49.
    [8]
    邓浪. 无线传感器网络 DV-Hop 定位算法研究与改进优化[D]. 赣州: 江西理工大学, 2019.
    [9]
    GAO M, LI F. Genetic PSO improved DV-Hop localization algorithm[J]. Chinese journal of sensors and actuators, 2017, 30(7): 1083-1088. DOI: 10.3969/j.issn.1004-1699.2017.07.019
    [10]
    彭铎, 贠琦, 李英堂, 等. 基于改进Jaya的DV-Hop定位算法[J]. 传感技术学报, 2020, 33(8): 1204-1209. DOI: 10.3969/j.issn.1004-1699.2020.08.019
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Figures(7)

    Article Metrics

    Article views (486) PDF downloads(38) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return