Wireless mesh networking

The applications of WiFi technology have been increasingly explored, with WiFi localisation becoming a popular area of interest. However, current commercial off-the-shelf(COTS) WiFi localisation technology is unable to keep up with the latest WiFi standards and does not utilise Channel State Informa...

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Main Author: Tan, Ethel Mei Shuang
Other Authors: Mo Li
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2022
Subjects:
Online Access:https://hdl.handle.net/10356/162949
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1629492022-11-14T07:25:46Z Wireless mesh networking Tan, Ethel Mei Shuang Mo Li School of Computer Science and Engineering limo@ntu.edu.sg Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks The applications of WiFi technology have been increasingly explored, with WiFi localisation becoming a popular area of interest. However, current commercial off-the-shelf(COTS) WiFi localisation technology is unable to keep up with the latest WiFi standards and does not utilise Channel State Information(CSI) technology from new WiFi protocols that support a larger bandwidth. Additionally, they are unable to maintain their accuracy under non-line-of-sight(NLOS) conditions. Therefore, this project aims to implement an IEEE 802.11ac-based WiFi localisation system that operates atop COTS devices that can maintain its localisation accuracy with complex multipath environments. In this project, the WiFi localisation system is implemented and the angle estimation and location accuracy of the system are evaluated by conducting experiments in a real-world environment and analysing the consistency and error metric of the Angle of Arrival(AoA) estimates derived from the CSI readings of the system. Based on the experimental results, the calculated angle estimates were largely accurate with the average percentage of outliers per data point being 14.5% and the Mean Absolute Percentage Error (MAPE) of the AoA estimates being 13.2%. However, the location accuracy of the system is very low with a root mean square error (RMSE) of 21.9m. Overall, while the system is able to provide largely consistent and accurate angle estimates, it fails to achieve location accuracy. As such, future work can improve on the localisation technique of the system. Bachelor of Engineering (Computer Science) 2022-11-14T07:25:46Z 2022-11-14T07:25:46Z 2022 Final Year Project (FYP) Tan, E. M. S. (2022). Wireless mesh networking. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/162949 https://hdl.handle.net/10356/162949 en application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
spellingShingle Engineering::Computer science and engineering::Computer systems organization::Computer-communication networks
Tan, Ethel Mei Shuang
Wireless mesh networking
description The applications of WiFi technology have been increasingly explored, with WiFi localisation becoming a popular area of interest. However, current commercial off-the-shelf(COTS) WiFi localisation technology is unable to keep up with the latest WiFi standards and does not utilise Channel State Information(CSI) technology from new WiFi protocols that support a larger bandwidth. Additionally, they are unable to maintain their accuracy under non-line-of-sight(NLOS) conditions. Therefore, this project aims to implement an IEEE 802.11ac-based WiFi localisation system that operates atop COTS devices that can maintain its localisation accuracy with complex multipath environments. In this project, the WiFi localisation system is implemented and the angle estimation and location accuracy of the system are evaluated by conducting experiments in a real-world environment and analysing the consistency and error metric of the Angle of Arrival(AoA) estimates derived from the CSI readings of the system. Based on the experimental results, the calculated angle estimates were largely accurate with the average percentage of outliers per data point being 14.5% and the Mean Absolute Percentage Error (MAPE) of the AoA estimates being 13.2%. However, the location accuracy of the system is very low with a root mean square error (RMSE) of 21.9m. Overall, while the system is able to provide largely consistent and accurate angle estimates, it fails to achieve location accuracy. As such, future work can improve on the localisation technique of the system.
author2 Mo Li
author_facet Mo Li
Tan, Ethel Mei Shuang
format Final Year Project
author Tan, Ethel Mei Shuang
author_sort Tan, Ethel Mei Shuang
title Wireless mesh networking
title_short Wireless mesh networking
title_full Wireless mesh networking
title_fullStr Wireless mesh networking
title_full_unstemmed Wireless mesh networking
title_sort wireless mesh networking
publisher Nanyang Technological University
publishDate 2022
url https://hdl.handle.net/10356/162949
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