| 基于DV-Hop测距修正的遗传模拟退火定位算法 |
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| 引用本文： | 徐慧娟.基于DV-Hop测距修正的遗传模拟退火定位算法[J].传感技术学报,2018,31(1):147-151. |
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| 作者姓名： | 徐慧娟 |
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| 作者单位： | 黄淮学院信息工程学院,河南 驻马店,463000 |
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| 基金项目： | 项目来源，河南省科技厅基金项目 |
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| 摘 要： | 为了提升传统DV-Hop算法对无线传感网络WSNs(Wireless Sensor Networks)中未知节点的定位精度,提出基于DV-Hop测距修正的遗传模拟退火定位算法IDV-Hop-GSAL(Improved DV-Hop Ranging-based Genetic-Simulated Annealing Localizatio).IDV-Hop-GSAL算法引入节点相近度概念,进而修正DV-Hop测距值,再利用最小二乘法求解未知节点的初始解.然后,建立基于未知节点位置为参数的数学模型,再利用遗传模拟退火算法优化初始解,从而得到获取未知节点的最优位置.仿真结果表明,与传统的DV-Hop+LS算法相比,提出的IDV-Hop-GSAL算法降低了平均定位误差.
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| 关 键 词： | 无线传感网络 节点定位 距离向量的跳数 相近度 遗传模拟退火算法 wireless sensor network localization of node DV-Hop algorithm near degree genetic-simulated annealing |
Improved DV-Hop Ranging-based Genetic-Simulated Annealing Localization algorithm in Wireless Sensor Networks |
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| XU Huijuan.Improved DV-Hop Ranging-based Genetic-Simulated Annealing Localization algorithm in Wireless Sensor Networks[J].Journal of Transduction Technology,2018,31(1):147-151. |
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| Authors: | XU Huijuan |
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| Abstract: | In order to improve the localization accuracy of DV-Hop in Wireless Sensor Networks( WSNs) ,Improved DV-Hop Ranging-based Genetic-Simulated Annealing Localization ( IDV-Hop-GSAL ) algorithm is proposed in this paper. IDV-Hop-GSAL introduced Near-degree,and modified the ranging by DV-Hop. Then the original position of unknown nodes is obtained by least squares method. Finally,the most optimal solution to obtain a position of un-known nodes is achieved with the help of GASA optimization algorithm. Numerous simulation results show that aver-age localization error ratio of IDV-Hop-GSAL algorithm is less than that of traditional DV-Hop algorithm. |
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| Keywords: | Wireless Sensor Network Localization of node DV-Hop algorithm Near degree Genetic-Simulated Annealing |
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