Improvement of Wi-Fi Location Accuracy Using Measurement Node-Filtering Algorithm
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
In this paper, we propose a new algorithm to improve the accuracy of the Wi-Fi access point (AP) positioningtechnique. The proposed algorithm based on evaluating the trustworthiness of the signal strength quality of eachmeasurement node is superior to other existing AP positioning algorithms, such as the centroid, weighted centroid,multilateration, and radio distance ratio methods, owing to advantages such as reduction of distance errors duringpositioning, reduction of complexity, and ease of implementation. To validate the performance of the proposedalgorithm, we conducted experiments in a complex indoor environment with multiple walls and obstacles, multipleoffice rooms, corridors, and lobby, and measured the corresponding AP signal strength value at several specificpoints based on their coordinates. Using the proposed algorithm, we can obtain more accurate positioning resultsof the APs for use in research or industrial applications, such as finding rogue APs, creating radio maps, orestimating the radio frequency propagation properties in an area.
Abstract
In this paper, we propose a new algorithm to improve the accuracy of the Wi-Fi access point (AP) positioningtechnique. The proposed algorithm based on evaluating the trustworthiness of the signal strength quality of eachmeasurement node is superior to other existing AP positioning algorithms, such as the centroid, weighted centroid,multilateration, and radio distance ratio methods, owing to advantages such as reduction of distance errors duringpositioning, reduction of complexity, and ease of implementation. To validate the performance of the proposedalgorithm, we conducted experiments in a complex indoor environment with multiple walls and obstacles, multipleoffice rooms, corridors, and lobby, and measured the corresponding AP signal strength value at several specificpoints based on their coordinates. Using the proposed algorithm, we can obtain more accurate positioning resultsof the APs for use in research or industrial applications, such as finding rogue APs, creating radio maps, orestimating the radio frequency propagation properties in an area.
참고문헌 (18)
- Fan Xu, "An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP", ISPRS International Journal of Geo-Information, 9(4), pp.261~ (2020), MDPI AG[DOI]
- G. Wu, "A Deep Neural Networkased Indoor Positioning Method using Channel State Information", Proc. of 2018 International Conference on Computing, Networking and Communications (ICNC), pp.290~294 (2018)
- Suining He, "Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons", IEEE Communications Surveys & Tutorials, 18(1), pp.466~490 (2016), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Rongrong Wang, "A Robust Wi-Fi Fingerprint Positioning Algorithm Using Stacked Denoising Autoencoder and Multi-Layer Perceptron", Remote Sensing, 11(11), pp.1293~ (2019), MDPI AG[DOI]
- Xuyu Wang, "CSI-based Fingerprinting for Indoor Localization: A Deep Learning Approach", IEEE Transactions on Vehicular Technology, 66(1), pp.763~776 (2016), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- G. Wu, "A Deep Neural Network-Based Indoor Positioning Method using Channel State Information", Proc. of 2018 International Conference on Computing, Networking and Communications (ICNC), pp.290~294 (2018)
- S. K. Mari, "A hybrid trilateration and fingerprinting approach for indoor localization based on wifi", Proc. of 2018 Fourth International Conference on Advances in Computing, Communication & Automation (ICACCA), pp.1~6 (2018)
- P. Bahl, "RADAR an in-building RF-based user location and tracking system", Proc. of IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies, pp.775~784 (2000)
- Li J., "A new weighted centroid localization algorithm in coal Mine wireless sensor networks", Proc. of In-ternational Conference on Computer Research and Development, pp.106~109 (2011), IEEE
- Shi H., "A new weighted centroid localization algorithm based on RSSI", Proc. of International Conference on In-formation and Automation, pp.137~141 (2012), IEEE
- Zhang B., "A Weighted Centroid Localization Algorithm Based on DV-Hop for Wireless Sensor Network", Proc. of International Conference on Wireless Communications, NETWORKING and Mobile Computing, pp.1~5 (2012), IEEE
- T. Li, "Comparison of Multilateration Methods Using RSSI for Indoor Positioning System", Proc. of 2019 58th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp.371~375 (2019)
- Y.-C. Cheng, "Accuracy characterization for metropolitanscale Wi-Fi localization", Proc. of the 3rd International Conference on Mobile Systems, Applications, and Services (MobiSys 2005), pp.233~245 (2005)
- Jahyoung Koo, "Localizing WiFi Access Points Using Signal Strength", IEEE Communications Letters, 15(2), pp.187~189 (2011), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- Fan Xu, "An Efficient Indoor Wi-Fi Positioning Method Using Virtual Location of AP", ISPRS International Journal of Geo-Information, 9(4), pp.261~ (2020), MDPI AG[DOI]
- Liwei Wang, "On the Euclidean distance of images", IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(8), pp.1334~1339 (2005), Institute of Electrical and Electronics Engineers (IEEE)[DOI]
- A. Savvides, "Dynamic fine-grained localization in ad-hoc networks of sensors", Proc. of MobiCom01International Conference on Mobile Computing and Networking (ACM MOBICOM), pp.166~179 (2001)
- T. Shimamura, "Least squares method for accurate speech analysis", Proc. of 10th International Conference on Telecommunications, pp.681~684 (2003)