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Tracking moving devices with the cricket location system

Published: 06 June 2004 Publication History

Abstract

We study the problem of tracking a moving device under two indoor location architectures: an active mobile architecture and a passive mobile architecture. In the former, the infrastructure has receivers at known locations, which estimate distances to a mobile device based on an active transmission from the device. In the latter, the infrastructure has active beacons that periodically transmit signals to a passively listening mobile device, which in turn estimates distances to the beacons. Because the active mobile architecture receives simultaneous distance estimates at multiple receivers from the mobile device, it is likely to perform better tracking than the passive mobile system in which the device obtains only one distance estimate at a time and may have moved between successive estimates. However, an passive mobile system scales better with the number of mobile devices and puts users in control of whether their whereabouts are tracked.We answer the following question: How do the two architectures compare in tracking performance? We find that the active mobile architecture performs better at tracking, but that the passive mobile architecture has acceptable performance; moreover, we devise a hybrid approach that preserves the benefits of the passive mobile architecture while simultaneously providing the same performance as an active mobile system, suggesting a viable practical solution to the three goals of scalability, privacy, and tracking agility.

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      cover image ACM Conferences
      MobiSys '04: Proceedings of the 2nd international conference on Mobile systems, applications, and services
      June 2004
      294 pages
      ISBN:1581137931
      DOI:10.1145/990064
      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: 06 June 2004

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      Author Tags

      1. cricket
      2. location-awareness
      3. mobility
      4. pervasive computing
      5. tracking

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      MobiSys '04 Paper Acceptance Rate 22 of 162 submissions, 14%;
      Overall Acceptance Rate 274 of 1,679 submissions, 16%

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      Cited By

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      • (2024)Visar: Projecting Virtual Sound Spots for Acoustic Augmented Reality Using Air NonlinearityProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36785468:3(1-30)Online publication date: 9-Sep-2024
      • (2023)Underwater 3D positioning on smart devicesProceedings of the ACM SIGCOMM 2023 Conference10.1145/3603269.3604851(33-48)Online publication date: 10-Sep-2023
      • (2022)A Survey on Acoustic Positioning Systems for Location-Based ServicesIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2022.321094371(1-36)Online publication date: 2022
      • (2022)Sound of Motion: Real-time Wrist Tracking with A Smart Watch-Phone PairIEEE INFOCOM 2022 - IEEE Conference on Computer Communications10.1109/INFOCOM48880.2022.9796731(110-119)Online publication date: 2-May-2022
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      • (2021)VR Welding Kit: Accuracy Comparison Between Smartphone VR and Standalone VR Using RMSE2021 IEEE International Conference on Computing (ICOCO)10.1109/ICOCO53166.2021.9673577(341-346)Online publication date: 17-Nov-2021
      • (2021)A sound-based positioning system with centimeter accuracy for mobile robots in a greenhouse using frequency shift compensationComputers and Electronics in Agriculture10.1016/j.compag.2021.106235187:COnline publication date: 1-Aug-2021
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