Wireless sensor network node localization research based on improved wolves algorithm

被引：1
|
作者：
Chen, Guojun [1 ,2 ]
Xu, Pingping [1 ,3 ]
机构：
[1] Taihu Univ Wuxi, Jiangsu Key Construct Lab IoT Applicat Technol, Wuxi 214064, Jiangsu, Peoples R China
[2] Nanjing Univ Aeronaut & Astronaut, Coll Econ & Management, Nanjing 211106, Peoples R China
[3] Southeast Univ Nanjin, Nanjing 211189, Jiangsu, Peoples R China
来源：
2020 19TH INTERNATIONAL SYMPOSIUM ON DISTRIBUTED COMPUTING AND APPLICATIONS FOR BUSINESS ENGINEERING AND SCIENCE (DCABES 2020) | 2020年
关键词：
Wireless sensor network; DV-Hop; wolves algorithm;
D O I：
10.1109/DCABES50732.2020.00055
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
DV-Hop is a typical node localization algorithm without ranging of wireless sensor network. Because of the shortcoming that this algorithm's accuracy for node positioning is not high, a sensor node localization algorithm based on improved wolves algorithm is proposed. The algorithm is based on the classic DV-Hop algorithm, converts the wireless sensor node localization problem into a multi-constrained optimization problem, and uses improved wolves algorithm to solve this problem, then obtains the optimal solution of unknown node coordinates. Matlab simulation show that, this algorithm can significantly improve the positioning accuracy of the node than other wireless sensor network node localization algorithm.
引用
收藏
页码：182 / 185
页数：4
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