Location Algorithm of Wireless Sensor Network Nodes Based on Semi-definite Programming

被引：0
|
作者：
Wu G. [1 ,2 ]
Wu C.-D. [1 ]
机构：
[1] School of Information Science & Engineering, Northeastern University, Shenyang
[2] School of Information Engineering, Shenyang University, Shenyang
来源：
Dongbei Daxue Xuebao/Journal of Northeastern University | 2019年 / 40卷 / 10期
关键词：
Anchor node; Estimated position; Maximum likelihood estimation; Semi-definite programming; Wireless sensor network;
D O I：
10.12068/j.issn.1005-3026.2019.10.003
中图分类号：
学科分类号：
摘要：
Aiming at node localizations of wireless sensor network(WSN), a semi-definite programming(SDP)optimization algorithm based on the maximum likelihood estimation(MLE)was proposed. Combining the effective anchor node position selection and ratio range setting, the SDP algorithm was used to relax the non-convex constraints, effectively reduce the impact of errors and get the actual position of measurement nodes. Changing the position of the anchor node can effectively solve the problem of inaccurate estimation of nodes outside the convex hull of the anchor node. The simulation results showed that the proposed SDP algorithm achieves high-precision in the position estimation of unknown nodes, and improves the convex optimization method. © 2019, Editorial Department of Journal of Northeastern University. All right reserved.
引用
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页码：1381 / 1385
页数：4
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