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Preliminary Study on Indoor Localization using Smartphone-Based IEEE 802.11mc

Published: 09 December 2019 Publication History

Abstract

Indoor localization using a smartphone-based technique is the next generation of indoor navigation and tracking, leveraging the IEEE 802.11mc WiFi-based fine time measurement (FTM) capabilities. The technique enables GPS-like operation indoor by using smartphone devices embedded with WiFi round trip time (RTT) enabled chipset. FTM allows timestamping of send and receive events at the hardware level which in turn allows calculation of very accurate RTT to estimate distance. The technique is independent of infrastructure and is capable of networking and communicating through the formation of device clusters. Our indoor localization algorithms provide a localization error of less than 1.5m in 95% of the cases in typical university campus environments.

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  • (2024)TraMap: SLAM-Based Trajectory Generation and Optimization for Emergency ScenariosQuality, Reliability, Security and Robustness in Heterogeneous Systems10.1007/978-3-031-65123-6_34(453-470)Online publication date: 20-Aug-2024
  • (2022)Preventing Attacks on Wireless Networks Using SDN Controlled OODA Loops and Cyber Kill ChainsSensors10.3390/s2223948122:23(9481)Online publication date: 4-Dec-2022
  • (2022)Indoor Navigation—User Requirements, State-of-the-Art and Developments for Smartphone LocalizationGeomatics10.3390/geomatics30100013:1(1-46)Online publication date: 27-Dec-2022
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  1. Preliminary Study on Indoor Localization using Smartphone-Based IEEE 802.11mc

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      cover image ACM Conferences
      CoNEXT '19 Companion: Proceedings of the 15th International Conference on emerging Networking EXperiments and Technologies
      December 2019
      93 pages
      ISBN:9781450370066
      DOI:10.1145/3360468
      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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      Published: 09 December 2019

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      CoNEXT '19 Companion Paper Acceptance Rate 34 of 52 submissions, 65%;
      Overall Acceptance Rate 198 of 789 submissions, 25%

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      Cited By

      View all
      • (2024)TraMap: SLAM-Based Trajectory Generation and Optimization for Emergency ScenariosQuality, Reliability, Security and Robustness in Heterogeneous Systems10.1007/978-3-031-65123-6_34(453-470)Online publication date: 20-Aug-2024
      • (2022)Preventing Attacks on Wireless Networks Using SDN Controlled OODA Loops and Cyber Kill ChainsSensors10.3390/s2223948122:23(9481)Online publication date: 4-Dec-2022
      • (2022)Indoor Navigation—User Requirements, State-of-the-Art and Developments for Smartphone LocalizationGeomatics10.3390/geomatics30100013:1(1-46)Online publication date: 27-Dec-2022
      • (2022)Indoor Place Prediction on Smart PhonesProceedings of the 20th ACM Conference on Embedded Networked Sensor Systems10.1145/3560905.3568062(790-791)Online publication date: 6-Nov-2022
      • (2020)HPIPS: A High-Precision Indoor Pedestrian Positioning System Fusing WiFi-RTT, MEMS, and Map InformationSensors10.3390/s2023679520:23(6795)Online publication date: 27-Nov-2020
      • (2020)Fundamental Concepts and Evolution of Wi-Fi User Localization: An Overview Based on Different Case StudiesSensors10.3390/s2018512120:18(5121)Online publication date: 8-Sep-2020

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