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IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops
Mobility Profiling Using Markov Chains for Tree-Based Object Tracking in Wireless Sensor Networks
Taichung, Taiwan
June 05-June 07
ISBN: 0-7695-2553-9
ASCII Text
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Li-Hsing Yen, Chia-Cheng Yang, "Mobility Profiling Using Markov Chains for Tree-Based Object Tracking in Wireless Sensor Networks," Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on, vol. 2, pp. 220-225, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops, 2006.
 
 
BibTex
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@article{ 10.1109/SUTC.2006.92,
author = {Li-Hsing Yen and Chia-Cheng Yang},
title = {Mobility Profiling Using Markov Chains for Tree-Based Object Tracking in Wireless Sensor Networks},
journal ={Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2553-9},
pages = {220-225},
doi = {http://doi.ieeecomputersociety.org/10.1109/SUTC.2006.92},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on
TI - Mobility Profiling Using Markov Chains for Tree-Based Object Tracking in Wireless Sensor Networks
SN - 0-7695-2553-9
SP220
EP225
A1 - Li-Hsing Yen,
A1 - Chia-Cheng Yang,
PY - 2006
KW - null
VL - 2
JA - Sensor Networks, Ubiquitous, and Trustworthy Computing, International Conference on
ER -
 
Li-Hsing Yen, Chung Hua University
Chia-Cheng Yang, Chung Hua University
Object tracking in wireless sensor networks is to track moving objects by scattered sensors. These sensors are typically organized into a tree to deliver report messages upon detecting object?s move. Existing tree construction algorithms all require a mobility profile that is obtained based on historical statistics. In this paper, we propose an analytic estimate of such mobility profile based on Markov-chain model. This estimate replaces otherwise experimental process that collects statistical data. Simulation results confirm the effectiveness of the proposed approach.
Citation:
Li-Hsing Yen, Chia-Cheng Yang, "Mobility Profiling Using Markov Chains for Tree-Based Object Tracking in Wireless Sensor Networks," sutc, vol. 2, pp.220-225, IEEE International Conference on Sensor Networks, Ubiquitous, and Trustworthy Computing - Vol 2 - Workshops, 2006
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