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Efficient Coverage Maintenance Based on Probabilistic Distributed Detection
September 2010 (vol. 9 no. 9)
pp. 1346-1360
ASCII Text
x 
 
Guoliang Xing, Xiangmao Chang, Chenyang Lu, Jianping Wang, Ke Shen, Robert Pless, Joseph A. O’Sullivan, "Efficient Coverage Maintenance Based on Probabilistic Distributed Detection," IEEE Transactions on Mobile Computing, vol. 9, no. 9, pp. 1346-1360, September, 2010.
 
 
BibTex
x
 
@article{ 10.1109/TMC.2010.84,
author = {Guoliang Xing and Xiangmao Chang and Chenyang Lu and Jianping Wang and Ke Shen and Robert Pless and Joseph A. O’Sullivan},
title = {Efficient Coverage Maintenance Based on Probabilistic Distributed Detection},
journal ={IEEE Transactions on Mobile Computing},
volume = {9},
number = {9},
issn = {1536-1233},
year = {2010},
pages = {1346-1360},
doi = {http://doi.ieeecomputersociety.org/10.1109/TMC.2010.84},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Mobile Computing
TI - Efficient Coverage Maintenance Based on Probabilistic Distributed Detection
IS - 9
SN - 1536-1233
SP1346
EP1360
EPD - 1346-1360
A1 - Guoliang Xing,
A1 - Xiangmao Chang,
A1 - Chenyang Lu,
A1 - Jianping Wang,
A1 - Ke Shen,
A1 - Robert Pless,
A1 - Joseph A. O’Sullivan,
PY - 2010
KW - Wireless sensor networks
KW - coverage maintenance
KW - data fusion
KW - distributed detection.
VL - 9
JA - IEEE Transactions on Mobile Computing
ER -
 
Guoliang Xing, Michigan State University, USA
Xiangmao Chang, Beijing University of Posts and Telecommunications, China
Chenyang Lu, Washington University in St. Louis, St. Louis, USA
Jianping Wang, City University of Hong Kong, Hong Kong
Ke Shen, Michigan State University, USA
Robert Pless, Washington University in St. Louis, St. Louis, USA
Joseph A. O’Sullivan, Washington University in St Louis, St. Louis, USA
Many wireless sensor networks require sufficient sensing coverage over long periods of time. To conserve energy, a coverage maintenance protocol achieves desired coverage by activating only a subset of nodes, while allowing the others to sleep. Existing coverage maintenance protocols are often designed based on simplistic sensing models that do not capture the stochastic nature of distributed sensing. We propose a new sensing coverage model based on the distributed detection theory, which captures two important characteristics of sensor networks, i.e., probabilistic detection by individual sensors and data fusion among sensors. We then present three coverage maintenance protocols that can meet the specified event detection probability and false alarm rate. The centralized protocol only activates a small number of sensors, but introduces extremely long coverage configuration delay. The Se-Grid protocol reduces the configuration time by dividing the network into separate fusion groups, but increases the number of active sensors due to the lack of collaboration among sensors in different groups. In contrast, by coordinating overlapping fusion groups, the Co-Grid protocol can effectively reduce the number of active sensors and the coverage configuration time. The advantages of Co-Grid have been validated through simulations and benchmark results on Mica2 motes.

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Index Terms:
Wireless sensor networks, coverage maintenance, data fusion, distributed detection.
Citation:
Guoliang Xing, Xiangmao Chang, Chenyang Lu, Jianping Wang, Ke Shen, Robert Pless, Joseph A. O’Sullivan, "Efficient Coverage Maintenance Based on Probabilistic Distributed Detection," IEEE Transactions on Mobile Computing, vol. 9, no. 9, pp. 1346-1360, Sept. 2010, doi:10.1109/TMC.2010.84
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