Research on localization algorithm of wireless sensor networks based on norm regularization matrix complement

Qian Wang

doi:10.1117/12.2637632

13 May 2022 Research on localization algorithm of wireless sensor networks based on norm regularization matrix complement

Qian Wang

Author Affiliations +

Proceedings Volume 12248, Second International Conference on Sensors and Information Technology (ICSI 2022); 1224809 (2022) https://doi.org/10.1117/12.2637632
Event: 2nd International Conference on Sensors and Information Technology (ICSI 2022), 2022, Nanjing, China

Abstract

In the application process of wireless sensor network localization algorithm, the localization accuracy may be affected by structured noise interference. In order to effectively solve this problem, it is necessary to deeply study the existing localization algorithms. In the specific research process, we can make in-depth research on the localization algorithm of wireless sensor networks based on the existing matrix completion localization algorithm and the norm regularization matrix completion localization algorithm, in which the localization of intermediate nodes is an important foundation to realize the application of wireless sensor networks. When analyzing the traditional location method based on measured distance, it needs a lot of node distance information and multipath effect. However, the WSNs node localization method based on norm regularization matrix completion is based on the low-rank characteristics of the distance matrix between nodes in the sensor network, modeling some specific recovery problems such as partial sampling information, and forming the matrix completion problem under the condition of coefficient outlier noise, which can improve the localization accuracy, and at the same time has good anti-interference ability for various sequencing noises.

Citation Download Citation

Qian Wang "Research on localization algorithm of wireless sensor networks based on norm regularization matrix complement", Proc. SPIE 12248, Second International Conference on Sensors and Information Technology (ICSI 2022), 1224809 (13 May 2022); https://doi.org/10.1117/12.2637632

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