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IWQOS
2005
Springer

Analyzing Object Detection Quality Under Probabilistic Coverage in Sensor Networks

9 years 8 months ago
Analyzing Object Detection Quality Under Probabilistic Coverage in Sensor Networks
Abstract. Object detection quality and network lifetime are two conflicting aspects of a sensor network, but both are critical to many sensor applications such as military surveillance. Probabilistic coverage is an appropriate approach to balancing the conflicting design requirements of monitoring applications. Under probabilistic coverage, we present an analytical model to analyze object detection quality with respect to different network conditions and sensor scheduling schemes. Our analytical model facilitates performance evaluation of a sensing schedule, network deployment, and sensing scheduling protocol design. Applying the model to real sensor networks, we design a set of sensing scheduling protocols to achieve targeted object detection quality while minimizing power consumption. The correctness of our model and the effectiveness of the proposed protocols are validated through extensive simulation experiments.
Shansi Ren, Qun Li, Haining Wang, Xin Chen, Xiaodo
Added 28 Jun 2010
Updated 28 Jun 2010
Type Conference
Year 2005
Where IWQOS
Authors Shansi Ren, Qun Li, Haining Wang, Xin Chen, Xiaodong Zhang
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