@inproceedings{ed68db3d627e46d0a7895c624821ffc2,
title = "Research on wireless network node localization algorithm for internet of things",
abstract = "The accuracy of node localization is the key to the location service applications in the Internet of Things. In this paper, a Monte Carlo localization algorithm based on Newton interpolation and differential evolution algorithm is proposed to solve the problem that the localization technology in the existing Internet of Things environment has insufficient localization accuracy and low localization efficiency. The algorithm uses Newton interpolation to reduce the sampling region, and improves the sampling success rate through the differential crossing step of the differential evolution algorithm. The simulation results show that the localization accuracy and localization efficiency of the algorithm are greatly improved compared with existing algorithms.",
author = "Junshe Wang and Chen Zhang and Tongtong Jiang and Qiang Duan",
year = "2019",
month = may,
day = "1",
doi = "10.1109/ITAIC.2019.8785836",
language = "English (US)",
series = "Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "548--552",
editor = "Bing Xu",
booktitle = "Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019",
address = "United States",
note = "8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019 ; Conference date: 24-05-2019 Through 26-05-2019",
}