A Node Localization Algorithm for Wireless Sensor Network Based on Compressed Sensing

被引：0

作者：

Tao, Hongxu ^{[1
]}

Lin, Yun ^{[1
]}

Wang, Sen ^{[1
]}

机构：

[1] Harbin Engn Univ, Coll Informat & Commun Engn, Harbin, Peoples R China

来源：

PROCEEDINGS OF THE 2018 IEEE 7TH ASIA-PACIFIC CONFERENCE ON ANTENNAS AND PROPAGATION (APCAP) | 2018年

基金：

中国国家自然科学基金;

关键词：

Compressed sensing; Wireless sensor network; Centroid; Localization;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

To obtain better performance and lower error localization algorithms, this paper proposes an algorithm based on Orthogonal Matching Pursuit (OMP) reconstruction and Basis Pursuit (BP) reconstruction algorithm for wireless sensor network node localization in combination with compressed sensing. These two algorithms both belong to the localization algorithm without ranging and meet three conditions when solving the problem of location algorithm which makes them more suitable for practical application. Compared with other existing range -free algorithms, such as the LSVM algorithm, the compressed sensing algorithm has better positioning performance. Therefore, the compressed sensing algorithm is a more reliable and practical positioning algorithm.

引用

页码：254 / 258

页数：5

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