``Analyzing object detection quality under probabilistic coverage in sensor 
networks" 

Shansi Ren, Qun Li, Haining Wang, Xin Chen, and Xiaodong Zhang

Proceedings of the 13th International Workshop on Quality of Service (WQoS'05), 
Passau, Germany, June 21 - 23, 2005.  

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.  

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