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Demo: HierTrack: an energy efficient target tracking system for wireless sensor networks

Published: 01 November 2011 Publication History

Abstract

Target tracking is a typical and important application of wireless sensor networks (WSNs). A lot of target tracking protocols have been proposed, whereas few of them are implemented into real systems. In this paper, we develop a real target tracking system, called HieTrack, for energy efficient and real-time target tracking in WSNs. The system relies on the cluster-based network architecture and contends for network cost minimization by selectively activating appropriate senor nodes according to the prediction of target trajectory. The estimated locations of the target can be routed to the base station via the backbone composed by the cluster heads. A graphical user interface (GUI) is also designed complementarily to facilitate users while monitoring the status of the sensor network. The efficiency of our system is validated by experiments.

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Z. N. Li, H. B. Li, F. Zhang, J. M. Chen, and Y. X. Sun. An indoor sensor network system for pursuit-evasion games. In Proc. of MSN, pages 227--233, 2008.
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Z. B. Wang, H. B. Li, X. F. Shen, X. C. Sun, and Z. Wang. Tracking and predicting moving targets in hierarchical sensor networks. In Proc. of IEEE ICNSC, pages 1169--1174, 2008.

Cited By

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  • (2022)Zeroing Neural Network for Time-Varying Linear Equations With Application to Dynamic PositioningIEEE Transactions on Industrial Informatics10.1109/TII.2021.308720218:3(1552-1561)Online publication date: Mar-2022
  • (2017)Connecting priority algorithm for node deployment in directional sensor networksInternational Journal of Grid and Utility Computing10.1504/IJGUC.2017.0821388:1(29-37)Online publication date: 1-Jan-2017
  • (2015)Incremental clustering-based object tracking in wireless sensor networks2015 International Conference on Networking Systems and Security (NSysS)10.1109/NSysS.2015.7043534(1-6)Online publication date: Jan-2015
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  1. Demo: HierTrack: an energy efficient target tracking system for wireless sensor networks

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      cover image ACM Conferences
      SenSys '11: Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems
      November 2011
      452 pages
      ISBN:9781450307185
      DOI:10.1145/2070942

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 01 November 2011

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      Author Tags

      1. cluster
      2. energy efficiency
      3. sensor networks
      4. target tracking

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      Overall Acceptance Rate 174 of 867 submissions, 20%

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      Cited By

      View all
      • (2022)Zeroing Neural Network for Time-Varying Linear Equations With Application to Dynamic PositioningIEEE Transactions on Industrial Informatics10.1109/TII.2021.308720218:3(1552-1561)Online publication date: Mar-2022
      • (2017)Connecting priority algorithm for node deployment in directional sensor networksInternational Journal of Grid and Utility Computing10.1504/IJGUC.2017.0821388:1(29-37)Online publication date: 1-Jan-2017
      • (2015)Incremental clustering-based object tracking in wireless sensor networks2015 International Conference on Networking Systems and Security (NSysS)10.1109/NSysS.2015.7043534(1-6)Online publication date: Jan-2015
      • (2015)Evaluation ARIMA Modeling-Based Target Tracking Scheme in Wireless Sensor Networks Using Statistical TestsWireless Personal Communications: An International Journal10.1007/s11277-015-2772-984:4(2913-2925)Online publication date: 1-Oct-2015
      • (2014)Secure and Reliable Prediction Based Target Tracking for Wireless Sensor Networks2014 5th International Conference on Intelligent Systems, Modelling and Simulation10.1109/ISMS.2014.164(646-651)Online publication date: Jan-2014
      • (2014)Secure target detection and tracking in mission critical wireless sensor networks2014 International Conference on Anti-Counterfeiting, Security and Identification (ASID)10.1109/ICASID.2014.7064949(1-5)Online publication date: Dec-2014
      • (2014)Sensor selection for tracking multiple groups of targetsJournal of Network and Computer Applications10.1016/j.jnca.2014.07.02346:C(36-47)Online publication date: 1-Nov-2014

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