摘要
针对大型网络不规则性及翻转歧义造成距离向量-跳段(DV-HOP)定位算法性能较差的问题,提出了一种改进的DV-HOP定位算法。针对不规则网络,提出了一种基于节点密度的误差修正方法。网络区域部署节点数量大,节点翻转歧义误差不可避免,故提出了一种基于半圆模型的定位误差修正方法。仿真实验表明:本文改进算法比现有改进算法的定位精度提高了6%,并且能够有效地弱化翻转歧义造成的误差,因此能够较好地实现对未知节点的实时精准定位。
For the poor performance of distance vector-hop( DV-Hop) location algorithm in positioning accuracy caused by irregularity and mirror error in the large scale of wireless sensor networks,an improved DVHOP localization algorithm was proposed. The error correction method for the irregular wireless sensor networks based on node degree was proposed. Due to the large scale of nodes deployed in area,the node error brought by mirror error was inevitably,so a new error correction method for location error based on semi-circle model was proposed. Simulation results show that the improved algorithm obtains 6% of position accuracy improvement better than those existing improved algorithms. It can weaken the mirror error effectively,so it can better achieve real-time precision localization for unknown nodes.
出处
《河南科技大学学报（自然科学版）》
CAS
北大核心
2016年第6期55-60,7-8,共6页
Journal of Henan University of Science And Technology:Natural Science
基金
国家自然科学基金项目(61301257)
吉林省科技发展计划基金项目(20130206050GX)
