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Calibration-free WLAN location system based on dynamic mapping of signal strength

Published: 02 October 2006 Publication History

Abstract

In this work we present a calibration-free system for locating wireless local area network devices, based on the radio frequency characteristics of such networks. Calibration procedures are applied in a great number of proposed location techniques and are considered to be not practical or a considerable barrier to wider adoption of such methods. Thus, we addressed issues related to some aspects of location systems through, an architecture based on wireless sniffers and by constructing a location model based on signal propagation models, in which its parameters are calculated in real time. This guarantee good self-sufficiency and adaptation capacity to the proposed system, once it does not need human intervention to work, neither from the network administrator or the wireless user being located. Moreover, a probabilistic method was used for estimating wireless devices positions, based on the previous constructed model. We later demonstrate the feasibility of our approach by reporting results of field tests in which the proposed technique was implemented and validated in a real-world indoor environment.

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  • (2018)A Bayesian Approach to Dealing with Device Heterogeneity in an Indoor Positioning System2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN.2018.8533730(1-8)Online publication date: Sep-2018
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cover image ACM Conferences
MobiWac '06: Proceedings of the 4th ACM international workshop on Mobility management and wireless access
October 2006
206 pages
ISBN:159593488X
DOI:10.1145/1164783
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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Publication History

Published: 02 October 2006

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Author Tags

  1. RF-based location estimation
  2. calibration-free
  3. propagation model
  4. wireless LAN
  5. wireless sniffers

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MobiWac '06 Paper Acceptance Rate 18 of 60 submissions, 30%;
Overall Acceptance Rate 83 of 272 submissions, 31%

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  • (2023)Low-Cost Indoor Wireless Fingerprint Location Database Construction Methods: A ReviewIEEE Access10.1109/ACCESS.2023.326687411(37535-37545)Online publication date: 2023
  • (2019)Reducing the site survey using fingerprint refinement for cost-efficient indoor locationWireless Networks10.1007/s11276-018-1711-625:3(1201-1213)Online publication date: 1-Apr-2019
  • (2018)A Bayesian Approach to Dealing with Device Heterogeneity in an Indoor Positioning System2018 International Conference on Indoor Positioning and Indoor Navigation (IPIN)10.1109/IPIN.2018.8533730(1-8)Online publication date: Sep-2018
  • (2018)Radio Map Efficient Building Method Using Tensor Completion for WLAN Indoor Positioning System2018 IEEE International Conference on Communications (ICC)10.1109/ICC.2018.8422181(1-6)Online publication date: May-2018
  • (2018)Graph‐based iterative measurement‐denoising and radio‐map generation for semi‐supervised indoor localisationIET Communications10.1049/iet-com.2017.116112:7(848-853)Online publication date: 29-Mar-2018
  • (2017)A RSSI-based parameter tracking strategy for constrained position localizationEURASIP Journal on Advances in Signal Processing10.1186/s13634-017-0512-x2017:1Online publication date: 9-Nov-2017
  • (2017)An enhanced TDoA approach handling multipath interference in Wi-Fi based indoor localization systems2017 IEEE 60th International Midwest Symposium on Circuits and Systems (MWSCAS)10.1109/MWSCAS.2017.8052885(160-163)Online publication date: Aug-2017
  • (2016)Inverse fingerprinting: Server side indoor localization with Bluetooth low energy2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)10.1109/PIMRC.2016.7794891(1-6)Online publication date: Sep-2016
  • (2016)Smart probabilistic fingerprinting for WiFi-based indoor positioning with mobile devicesPervasive and Mobile Computing10.1016/j.pmcj.2016.02.00131:C(107-123)Online publication date: 1-Sep-2016
  • (2015)A novel clustering strategy for fingerprinting-based localization system to reduce the searching time2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS)10.1109/ReTIS.2015.7232937(538-543)Online publication date: Jul-2015
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