Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
My Menu
Saved Items

Original Article

MoteTrack: a robust, decentralized approach to RF-based location tracking

Konrad LorinczContact Information and Matt WelshContact Information

(1)  Division of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA

Received: 22 August 2005  Accepted: 9 November 2005  Published online: 5 October 2006

Abstract  In this paper, we present a robust, decentralized approach to RF-based location tracking. Our system, called MoteTrack, is based on low-power radio transceivers coupled with a modest amount of computation and storage capabilities. MoteTrack does not rely upon any back-end server or network infrastructure: the location of each mobile node is computed using a received radio signal strength signature from numerous beacon nodes to a database of signatures that is replicated across the beacon nodes themselves. This design allows the system to function despite significant failures of the radio beacon infrastructure. In our deployment of MoteTrack, consisting of 23 beacon nodes distributed across our Computer Science building, we achieve a 50th percentile and 80th percentile location-tracking accuracy of 0.9 and 1.6 m respectively. In addition, MoteTrack can tolerate the failure of up to 60% of the beacon nodes without severely degrading accuracy, making the system suitable for deployment in highly volatile conditions. We present a detailed analysis of MoteTrack’s performance under a wide range of conditions, including variance in the number of obstructions, beacon node failure, radio signature perturbations, receiver sensitivity, and beacon node density.

Contact Information Konrad Lorincz (Corresponding author)
Email: konrad@eecs.harvard.edu
URL: http://www.eecs.harvard.edu/∼konrad/projects/motetrack

Contact Information Matt Welsh
Email: mdw@eecs.harvard.edu
Fulltext Preview (Small, Large)
Image of the first page of the fulltext

References secured to subscribers.



Export this article
Export this article as RIS | Text
 
Referenced by
5 newer articles

  1. Wang, Jing (2010) A study on wireless sensor network based indoor positioning systems for context-aware applications. Wireless Communications and Mobile Computing
    [CrossRef]
  2. Lin, Tsung-Han (2009) . IEEE Transactions on Mobile Computing 8(1)
    [CrossRef]
  3. Zandbergen, Paul A (2009) Accuracy of iPhone Locations: A Comparison of Assisted GPS, WiFi and Cellular Positioning. Transactions in GIS 13
    [CrossRef]
  4. Bolognani, Saverio (2009) Consensus-based distributed sensor calibration and least-square parameter identification in WSNs. International Journal of Robust and Nonlinear Control
    [CrossRef]
  5. Zhou, Junyi (2008) RFID localization algorithms and applications—a review. Journal of Intelligent Manufacturing
    [CrossRef]
Remote Address: 38.107.191.111 • Server: mpweb06
HTTP User Agent: CCBot/1.0 (+http://www.commoncrawl.org/bot.html)