Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/3305275.3305306acmotherconferencesArticle/Chapter ViewAbstractPublication PagesisbdaiConference Proceedingsconference-collections
short-paper

Research on Indoor Location Algorithm Based on WIFI

Published: 29 December 2018 Publication History

Abstract

With the wide application of mobile Internet, location-based service demands are more and more extensive. In the indoor positioning technology, the location fingerprinting method based on WIFI is widely used because of its strong anti-interference ability, high positioning accuracy, long transmission distance and convenient use. The paper adopts the location fingerprint matching and localization algorithm. Firstly, the Gaussian filtering algorithm is applied to process the original data collected by WIFI, and a complete fingerprint database is built off line. Then, the WKNN algorithm is used for position matching to realize indoor position online positioning. The experimental results show that the positioning algorithm used has a significant improvement in positioning accuracy compared with the traditional position fingerprint algorithm.

References

[1]
Nurul Azma, Nurazidah(2017). Acquiring Cybercrime Evidence on Mobile Global Positioning System (GPS): Review. Acta Electronica Malaysia, 1(2):17--19.
[2]
Chen li, Wangchenxuan (2017). Green Development Assessment of Smart City Based on PP-BP Intelligent Integrated and Future Prospect of Big Data. Acta Electronica Malaysia, 1(1): 01--04.
[3]
Liang Yuancheng. Research and implementation of indoor positioning technology based on WLAN {D}. University of Electronic Science and Technology, 2009.
[4]
Kushki A, Plataniotis K N, Venetsanopoulos A N. Kernel-Based Positioning in Wireless Local Area Networks{J}. IEEE Transactions on Mobile Computing, 2007, 6(6):689--705.
[5]
Luo Jia you. WiFi indoor location technology based on location fingerprint and implementation {D}. Shanghai Jiao Tong University, 2014.
[6]
Cui Huimei, Wang Xiaowei, Wang Wei, et al. WiFi-based indoor positioning system {J}. Microcomputer and application, 2014 (23): 58--61.
[7]
Peng Guangyu. Research on indoor location algorithm based on WIFI {J}. electronic world, 2017 (6): 7--8.
[8]
Xue Wen. Design and implementation of wireless indoor location system based on RSSI {D}. Nanjing University of Posts and Telecommunications, 2016.
[9]
Fang S H, Lin T N, Lee K C. A Novel Algorithm for Multipath Fingerprinting in Indoor WLAN Environments{M}. IEEE Press, 2008.
[10]
Jia Ziqing. Design and research of indoor positioning system based on WLAN fingerprint and inertial measurement {D}. Harbin University of Technology, 2014.
[11]
Suyuan Jing. Research and Platform Construction of Indoor Location Technology Based on WiFi Location Fingerprint {D}. Beijing University of Technology, 2017.
[12]
Gou Zu Chao. Research on WiFi indoor location technology based on location fingerprint {D}. Southwest Jiao Tong University, 2016.
[13]
Yang Peng, Xiong Zenggang.Design and implementation of indoor positioning system based on WiFi{J}.Journal of Yangtze University (self-taught edition), 2016, 13 (7): 67--71.
[14]
Xu Jianbo. Research and Implementation of Indoor Location Technology Based on WLAN Location Fingerprint {D}. Beijing University of Technology, 2014.

Cited By

View all
  • (2023)Domestic Security Clustering Algorithm Based on AP's Capability to Discriminate Location: A survey2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE57410.2023.10182765(1767-1771)Online publication date: 12-May-2023
  • (2022)WiFi-PDR indoor fusion positioning based on EKF2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)10.1109/WCMEIM56910.2022.10021502(933-937)Online publication date: 18-Nov-2022
  • (2022)Indoor Localization Based on Sparse TDOA Fingerprints2022 IEEE 25th International Conference on Computational Science and Engineering (CSE)10.1109/CSE57773.2022.00010(1-8)Online publication date: Dec-2022
  • Show More Cited By

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Other conferences
ISBDAI '18: Proceedings of the International Symposium on Big Data and Artificial Intelligence
December 2018
365 pages
ISBN:9781450365703
DOI:10.1145/3305275
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

  • International Engineering and Technology Institute, Hong Kong: International Engineering and Technology Institute, Hong Kong

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 December 2018

Permissions

Request permissions for this article.

Check for updates

Author Tags

  1. WIFI
  2. WKNN
  3. indoor positioning
  4. location fingerprint

Qualifiers

  • Short-paper
  • Research
  • Refereed limited

Conference

ISBDAI '18

Acceptance Rates

ISBDAI '18 Paper Acceptance Rate 70 of 340 submissions, 21%;
Overall Acceptance Rate 70 of 340 submissions, 21%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)6
  • Downloads (Last 6 weeks)1
Reflects downloads up to 23 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2023)Domestic Security Clustering Algorithm Based on AP's Capability to Discriminate Location: A survey2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE)10.1109/ICACITE57410.2023.10182765(1767-1771)Online publication date: 12-May-2023
  • (2022)WiFi-PDR indoor fusion positioning based on EKF2022 5th World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)10.1109/WCMEIM56910.2022.10021502(933-937)Online publication date: 18-Nov-2022
  • (2022)Indoor Localization Based on Sparse TDOA Fingerprints2022 IEEE 25th International Conference on Computational Science and Engineering (CSE)10.1109/CSE57773.2022.00010(1-8)Online publication date: Dec-2022
  • (2021)Wi-Fi Based Indoor Location With Multi-parameter AP Selection and Device Heterogeneity Weakening2021 IEEE 18th International Conference on Mobile Ad Hoc and Smart Systems (MASS)10.1109/MASS52906.2021.00077(566-567)Online publication date: Oct-2021
  • (2020)Multi-Distance Function Trilateration over k-NN Fingerprinting for Indoor Positioning and Its EvaluationIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7241E103.D:5(1055-1066)Online publication date: 1-May-2020
  • (2020)A Fusion Indoor Positioning Algorithm Based on the Improved WKNN and Pedestrian Dead Reckoning2020 IEEE 20th International Conference on Communication Technology (ICCT)10.1109/ICCT50939.2020.9295696(552-558)Online publication date: 28-Oct-2020
  • (2019)A Location Privacy Analysis of Bluetooth MeshProceedings of the 14th International Conference on Availability, Reliability and Security10.1145/3339252.3340507(1-7)Online publication date: 26-Aug-2019
  • (2019)Efficiency Improvement of Distance Education Systems Functioning Using Automated Resource Control of Wireless Environment2019 International Russian Automation Conference (RusAutoCon)10.1109/RUSAUTOCON.2019.8867683(1-5)Online publication date: Sep-2019

View Options

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media