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Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks
December 2010 (vol. 21 no. 12)
pp. 1851-1866
ASCII Text
x 
 
Guoliang Xing, Jianping Wang, Zhaohui Yuan, Rui Tan, Limin Sun, Qingfeng Huang, Xiaohua Jia, Hing Cheung So, "Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 12, pp. 1851-1866, December, 2010.
 
 
BibTex
x
 
@article{ 10.1109/TPDS.2010.41,
author = {Guoliang Xing and Jianping Wang and Zhaohui Yuan and Rui Tan and Limin Sun and Qingfeng Huang and Xiaohua Jia and Hing Cheung So},
title = {Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks},
journal ={IEEE Transactions on Parallel and Distributed Systems},
volume = {21},
number = {12},
issn = {1045-9219},
year = {2010},
pages = {1851-1866},
doi = {http://doi.ieeecomputersociety.org/10.1109/TPDS.2010.41},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - JOUR
JO - IEEE Transactions on Parallel and Distributed Systems
TI - Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks
IS - 12
SN - 1045-9219
SP1851
EP1866
EPD - 1851-1866
A1 - Guoliang Xing,
A1 - Jianping Wang,
A1 - Zhaohui Yuan,
A1 - Rui Tan,
A1 - Limin Sun,
A1 - Qingfeng Huang,
A1 - Xiaohua Jia,
A1 - Hing Cheung So,
PY - 2010
KW - Data fusion
KW - algorithm/protocol design and analysis
KW - wireless sensor networks.
VL - 21
JA - IEEE Transactions on Parallel and Distributed Systems
ER -
 
Guoliang Xing, Michigan State University, East Lansing
Jianping Wang, City University of Hong Kong, Hong Kong
Zhaohui Yuan, City University of Hong Kong, Hong Kong
Rui Tan, Michigan State University, East Lansing
Limin Sun, Chinese Academy of Sciences, Beijing
Qingfeng Huang, C8 MediSensors Inc., Los Gotos
Xiaohua Jia, City University of Hong Kong, Hong Kong
Hing Cheung So, City University of Hong Kong, Hong Kong
Wireless sensor networks (WSNs) deployed for mission-critical applications face the fundamental challenge of meeting stringent spatiotemporal performance requirements using nodes with limited sensing capacity. Although advance network planning and dense node deployment may initially achieve the required performance, they often fail to adapt to the unpredictability and variability of physical reality. This paper explores efficient use of mobile sensors to address limitations of static WSNs for target detection. We propose a data-fusion-based detection model that enables static and mobile sensors to effectively collaborate in target detection. An optimal sensor movement scheduling algorithm is developed to minimize the total moving distance of sensors while achieving a set of spatiotemporal performance requirements including high detection probability, low system false alarm rate, and bounded detection delay. The effectiveness of our approach is validated by extensive simulations based on real data traces collected by 23 sensor nodes.

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Index Terms:
Data fusion, algorithm/protocol design and analysis, wireless sensor networks.
Citation:
Guoliang Xing, Jianping Wang, Zhaohui Yuan, Rui Tan, Limin Sun, Qingfeng Huang, Xiaohua Jia, Hing Cheung So, "Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks," IEEE Transactions on Parallel and Distributed Systems, vol. 21, no. 12, pp. 1851-1866, Dec. 2010, doi:10.1109/TPDS.2010.41
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