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...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
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SpringerOpen
2018-10-01
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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. |
first_indexed | 2024-12-11T07:53:45Z |
format | Article |
id | doaj.art-0a95e2f747f4490cb4f74d1ba4e88fd0 |
institution | Directory Open Access Journal |
issn | 1687-1499 |
language | English |
last_indexed | 2024-12-11T07:53:45Z |
publishDate | 2018-10-01 |
publisher | SpringerOpen |
record_format | Article |
series | EURASIP Journal on Wireless Communications and Networking |
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 |
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