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2013 IEEE 19th Real-Time and Embedded Technology and Applications Symposium (RTAS) (2006)
San Jose, California
Apr. 4, 2006 to Apr. 7, 2006
ISBN: 0-7695-2516-4
pp: 37-48
Qing Cao , University of Illinois, Urbana-Champaign
Tarek Abdelzaher , University of Illinois, Urbana-Champaign
Ting Yan , University of Virginia
Tian He , University of Minnesota
Liqian Luo , University of Illinois, Urbana-Champaign
Radu Stoleru , University of Virginia
Pascal Vicaire , University of Virginia
Lin Gu , Univerity of Virginia
John A. Stankovic , University of Virginia
Gang Zhou , University of Virginia
Target tracking systems, consisting of thousands of low-cost sensor nodes, have been used in many application domains such as battlefield surveillance, wildlife monitoring and border security. These applications need to meet certain real-time constraints in response to transient events, such as fast-moving targets. While the real-time performance is a major concern in these applications, it should be compatible with other important system properties such as energy consumption and accuracy. Hence, it is desirable to have the ability to exploit the tradeoffs among them. This work presents the real-time design and analysis of VigilNet, a large-scale sensor network system which tracks, detects and classifies targets in a timely and energy efficient manner. Based on a deadline partition method and theoretical derivations of each sub-deadline, we are able to make guided engineering decisions to meet the end-to-end tracking deadline. To confirm our design and obtain an empirical understanding of these tradeoffs, we invest significant efforts to perform large-scale simulations with 10,000 nodes as well as a field test with 200 XSM motes, running VigilNet. The results from both analysis and evaluation can serve as general design guidelines to build similar real-time systems.
Qing Cao, Tarek Abdelzaher, Ting Yan, Tian He, Liqian Luo, Radu Stoleru, Pascal Vicaire, Lin Gu, John A. Stankovic, Gang Zhou, "Achieving Real-Time Target Tracking UsingWireless Sensor Networks", 2013 IEEE 19th Real-Time and Embedded Technology and Applications Symposium (RTAS), vol. 00, no. , pp. 37-48, 2006, doi:10.1109/RTAS.2006.9
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