期刊论文

Wireless Localization Algorithm of Adaptive Levy Whale Based on Mapping Curve

Li, Ying(614151536@qq.com)

中文

北京邮电大学学报

1007-5321

2020

43

5

125-129 and 136

10.13190/j.jbupt.2019-192

11875164:国家自然科学基金 2018SK2055:湖南省重点研发计划项目

本校为第一且通讯机构

针对多维定标(MDS-MAP)算法计算效率低且定位精度不高的问题,提出了一种基于映射曲线的自适应莱维鲸鱼无线定位(AWL-MC)算法.采用映射曲线距离分析方法对待定位节点进行粗略相对定位,以提高节点的计算效率;再通过线性变换将相对坐标转换成绝对坐标;最后采用自适应莱维飞行鲸鱼优化算法对待定位节点坐标进行全局和局部搜索寻优处理,避免产生局部最优解,提高了定位精度.仿真结果表明,AWL-MC算法相比MDS-MAP算法的定位精度改进率为66.42％,计算效率提高了52.57％,相比多维定标扩展卡尔曼滤波的定位精度改进率为57.80％,计算效率提高了66.01％.

Aiming at the problems of low calculation efficiency and low positioning accuracy of the multidimensional scaling map (MDS-MAP) algorithm, a wireless localization algorithm of adaptive Levy whale based on mapping curve (AWL-MC) is proposed. The mapping curve distance analysis method is used to make rough relative positioning of the localization nodes, so as to improve the calculation efficiency of nodes. Then the relative coordinates are converted into absolute coordinates by linear transformation. Finally, the adaptive Levy flight whale optimi...