基于RSSI测距的DV-Hop算法  

Improved DV-Hop localization method based on RSSI

作　　者：刘三阳 胡亚静 张朝辉 LIU San-yang HU Ya-jing ZHANG Zhao-hui(School of Mathematics and Statics, Xidian University, Xi＇an 710126, China)

机构地区：[1]西安电子科技大学数学与统计学院,西安710126

出　　处：《控制与决策》2017年第10期1900-1904,共5页Control and Decision

基　　金：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.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.

关 键 词：节点定位 RSSI测距技术 DV-HOP算法 无线传感器网络 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]