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Accurate and Efficient Indoor Location by Dynamic Warping in Sequence-Type Radio-map

Published: 26 March 2018 Publication History

Abstract

An efficient way to overcome the calibration challenge and RSS dynamics in radio-map-based indoor localization is to collect radio signal strength (RSS) along indoor paths and conduct localization by sequence matching. But such sequence-based indoor localization suffers problems including indoor path combinational explosion, random RSS miss-of-detection during user movement, and user moving speed disparity in online and offline phases. To address these problems, this paper proposes an undirected graph model, called WarpMap to efficiently calibrate and store the sequence-type radio-map. It reduces RSS sequence signature storage complexity from O(2N) to O(N) where N is the number of path crosses. An efficient on-line candidate path extraction algorithm is developed in it to find a set of the most possible candidate paths for matching with the on-line collected RSS sequence. Then, to determine the user's exact location, a sub-sequence dynamic time warping (SDTW) algorithm is proposed, which matches the online collected RSS sequence with the sequential RSS signatures of the candidate paths. We show the SDTW algorithm is highly efficient and adaptive, which localizes user without backtracking of warping path. Extensive experiments in office environments verified the efficiency and accuracy of WarpMap, which can be calibrated within thirty minutes by one person for 1100m2 area and provides overall nearly 20% accuracy improvements than the state-of-the-art of radio-map method.

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  • (2023)Fast Radio Map Construction with Domain Disentangled Learning for Wireless LocalizationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109227:3(1-27)Online publication date: 27-Sep-2023
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cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies  Volume 2, Issue 1
March 2018
1370 pages
EISSN:2474-9567
DOI:10.1145/3200905
Issue’s Table of Contents
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]

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Association for Computing Machinery

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Publication History

Published: 26 March 2018
Accepted: 01 March 2018
Revised: 01 November 2017
Received: 01 July 2017
Published in IMWUT Volume 2, Issue 1

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Author Tags

  1. Dynamic Time Warping
  2. Indoor Location
  3. Sequence-type radio-map

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  • Research
  • Refereed

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  • National Natural Science Foundation of China

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Cited By

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  • (2023)Fast Radio Map Construction with Domain Disentangled Learning for Wireless LocalizationProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109227:3(1-27)Online publication date: 27-Sep-2023
  • (2021)CSMCProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34949595:4(1-22)Online publication date: 30-Dec-2021
  • (2020)MAILProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/33973354:2(1-23)Online publication date: 15-Jun-2020
  • (2020)AtLAS: An Activity-Based Indoor Localization and Semantic Labeling Mechanism for ResidencesIEEE Internet of Things Journal10.1109/JIOT.2020.30044967:10(10606-10622)Online publication date: Oct-2020
  • (2018)SweepLocProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/32649302:3(1-25)Online publication date: 18-Sep-2018
  • (2018)Robust Component-Based Network Localization with Noisy Range Measurements2018 27th International Conference on Computer Communication and Networks (ICCCN)10.1109/ICCCN.2018.8487361(1-9)Online publication date: Jul-2018

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