A Three-dimensional DV-Hop Localization Algorithm Based on RSSI

被引：2
|
作者：
Gou, Pingzhang [1 ]
Li, Fengzhen [1 ]
Jia, Xiangdong [1 ]
Mao, Gang [1 ]
Sun, Mengyuan [1 ]
机构：
[1] Northwest Normal Univ, Coll Comp Sci & Engn, Lanzhou 730070, Gansu, Peoples R China
来源：
2018 3RD INTERNATIONAL CONFERENCE ON SMART CITY AND SYSTEMS ENGINEERING (ICSCSE) | 2018年
关键词：
Wireless Sensor Network; Three-dimensional DV-Hop; RSSI; Average hop distance; Weighted least squares;
D O I：
10.1109/ICSCSE.2018.00179
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In view of the disadvantages of calculating the hop count from the unknown node to the anchor node and the average hop distance of the anchor node in traditional three-dimensional DV-Hop localization algorithm, an improved three-dimensional DV-Hop localization algorithm R3D DV-Hop is proposed. The improved algorithm uses the RSSI ranging to estimate the estimated distance between the anchor node and the unknown node. The anchor node with large weight is combined with the RSSI first-order partial derivative to obtain the accurate average hop distance of the three-dimensional DV-Hop algorithm. Finally, the weighted least squares method is used to estimate the average hop distance, Measure the node location. Simulation results show that compared with the traditional DV-Hop and three-dimensional DV-Hop localization algorithms in the same environment, the positioning accuracy is significantly improved, and the positioning error is significantly reduced for the improved three-dimensional DV-Hop localization algorithm.
引用
收藏
页码：830 / 833
页数：4
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