Research on wireless network node localization algorithm for internet of things

Junshe Wang, Chen Zhang, Tongtong Jiang, Qiang Duan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.

Original languageEnglish (US)
Title of host publicationProceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019
EditorsBing Xu
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages548-552
Number of pages5
ISBN (Electronic)9781538681787
DOIs
StatePublished - May 1 2019
Event8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019 - Chongqing, China
Duration: May 24 2019May 26 2019

Publication series

NameProceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019

Conference

Conference8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019
CountryChina
CityChongqing
Period5/24/195/26/19

Fingerprint

Wireless networks
Interpolation
Sampling
Internet of things

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Information Systems
  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture

Cite this

Wang, J., Zhang, C., Jiang, T., & Duan, Q. (2019). Research on wireless network node localization algorithm for internet of things. In B. Xu (Ed.), Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019 (pp. 548-552). [8785836] (Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ITAIC.2019.8785836
Wang, Junshe ; Zhang, Chen ; Jiang, Tongtong ; Duan, Qiang. / Research on wireless network node localization algorithm for internet of things. Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019. editor / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 548-552 (Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019).
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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",
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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",
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Wang, J, Zhang, C, Jiang, T & Duan, Q 2019, Research on wireless network node localization algorithm for internet of things. in B Xu (ed.), Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019., 8785836, Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019, Institute of Electrical and Electronics Engineers Inc., pp. 548-552, 8th IEEE Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019, Chongqing, China, 5/24/19. https://doi.org/10.1109/ITAIC.2019.8785836

Research on wireless network node localization algorithm for internet of things. / Wang, Junshe; Zhang, Chen; Jiang, Tongtong; Duan, Qiang.

Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019. ed. / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2019. p. 548-552 8785836 (Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - 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.

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Wang J, Zhang C, Jiang T, Duan Q. Research on wireless network node localization algorithm for internet of things. In Xu B, editor, Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019. Institute of Electrical and Electronics Engineers Inc. 2019. p. 548-552. 8785836. (Proceedings of 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference, ITAIC 2019). https://doi.org/10.1109/ITAIC.2019.8785836