Research on positioning method of industrial wireless sensor networks

Abstract Location data associated with wireless sensor networks represents critical information. Current developments in localization algorithms employed in industrial wireless sensor networks seek to adopt positioning methods that are more robust and stable, and more accurate and efficient while re...

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Main Authors: Qingjun Yang, Dongsheng Ji, Yukai Yao, Enzhan Zhang, Xiaoyun Chen
Format: Article
Language:English
Published: SpringerOpen 2018-10-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13638-018-1263-6
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author Qingjun Yang
Dongsheng Ji
Yukai Yao
Enzhan Zhang
Xiaoyun Chen
author_facet Qingjun Yang
Dongsheng Ji
Yukai Yao
Enzhan Zhang
Xiaoyun Chen
author_sort Qingjun Yang
collection DOAJ
description Abstract Location data associated with wireless sensor networks represents critical information. Current developments in localization algorithms employed in industrial wireless sensor networks seek to adopt positioning methods that are more robust and stable, and more accurate and efficient while requiring a minimum of resources. Therefore, the present study capitalizes on the industrial wireless sensor network that has a strong correlation between applications to propose a positioning method design based on a Monte Carlo localization algorithm that is ideally suited to the narrow channel environment encountered in underground mining activities. The proposed positioning method offers very low computational complexity, which greatly reduces the use of network resources. Simulation experiments demonstrate that the proposed Monte Carlo localization algorithm provides strong stability and relatively high positioning accuracy.
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spelling doaj.art-0a95e2f747f4490cb4f74d1ba4e88fd02022-12-22T01:15:16ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992018-10-01201811910.1186/s13638-018-1263-6Research on positioning method of industrial wireless sensor networksQingjun Yang0Dongsheng Ji1Yukai Yao2Enzhan Zhang3Xiaoyun Chen4School of Information Science& Engineering, Lanzhou UniversitySchool of Computer and communication, Lanzhou University of TechnologySchool of Computer and communication, Lanzhou University of TechnologySchool of Computer and communication, Lanzhou University of TechnologySchool of Information Science& Engineering, Lanzhou UniversityAbstract Location data associated with wireless sensor networks represents critical information. Current developments in localization algorithms employed in industrial wireless sensor networks seek to adopt positioning methods that are more robust and stable, and more accurate and efficient while requiring a minimum of resources. Therefore, the present study capitalizes on the industrial wireless sensor network that has a strong correlation between applications to propose a positioning method design based on a Monte Carlo localization algorithm that is ideally suited to the narrow channel environment encountered in underground mining activities. The proposed positioning method offers very low computational complexity, which greatly reduces the use of network resources. Simulation experiments demonstrate that the proposed Monte Carlo localization algorithm provides strong stability and relatively high positioning accuracy.http://link.springer.com/article/10.1186/s13638-018-1263-6Localization methodIndustrial wireless sensor networksNarrow channel
spellingShingle Qingjun Yang
Dongsheng Ji
Yukai Yao
Enzhan Zhang
Xiaoyun Chen
Research on positioning method of industrial wireless sensor networks
EURASIP Journal on Wireless Communications and Networking
Localization method
Industrial wireless sensor networks
Narrow channel
title Research on positioning method of industrial wireless sensor networks
title_full Research on positioning method of industrial wireless sensor networks
title_fullStr Research on positioning method of industrial wireless sensor networks
title_full_unstemmed Research on positioning method of industrial wireless sensor networks
title_short Research on positioning method of industrial wireless sensor networks
title_sort research on positioning method of industrial wireless sensor networks
topic Localization method
Industrial wireless sensor networks
Narrow channel
url http://link.springer.com/article/10.1186/s13638-018-1263-6
work_keys_str_mv AT qingjunyang researchonpositioningmethodofindustrialwirelesssensornetworks
AT dongshengji researchonpositioningmethodofindustrialwirelesssensornetworks
AT yukaiyao researchonpositioningmethodofindustrialwirelesssensornetworks
AT enzhanzhang researchonpositioningmethodofindustrialwirelesssensornetworks
AT xiaoyunchen researchonpositioningmethodofindustrialwirelesssensornetworks