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2009
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Impact of Data Fusion on Real-Time Detection in Sensor Networks

9 years 10 months ago
Impact of Data Fusion on Real-Time Detection in Sensor Networks
—Real-time detection is an important requirement of many mission-critical wireless sensor network applications such as battlefield monitoring and security surveillance. Due to the high network deployment cost, it is crucial to understand and predict the real-time detection capability of a sensor network. However, most existing real-time analyses are based on overly simplistic sensing models (e.g., the disc model) that do not capture the stochastic nature of detection. In practice, data fusion has been adopted in a number of sensor systems to deal with sensing uncertainty and enable the collaboration among sensors. However, real-time performance analysis of sensor networks designed based on data fusion has received little attention. In this paper, we bridge this gap by investigating the fundamental real-time detection performance of largescale sensor networks under stochastic sensing models. Our results show that data fusion is effective in achieving stringent performance requirement...
Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where RTSS
Authors Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang
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