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Sequential hypothesis testing with off-line randomized sensor selection strategy

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3 Author(s)
Cheng-Zong Bai ; Dept. of Electr. Eng., Univ. of Notre Dame, Notre Dame, IN, USA ; Gupta, V. ; Yih-Fang Huang

We purpose and analyze an off-line randomized sensor selection strategy for sequential hypothesis testing problem constrained with sensor measurement costs. Within the framework of Wald's approximation, the sequential probability ratio test (SPRT) with sensor selection is designed for minimizing the expected total measurement cost subject to reliability and sensor usage constraints. In the case of symmetric hypotheses, we introduce a quantity, called efficiency, of a sensor and show that it is critical to the sensor selection in SPRT. Furthermore, an algorithm with linear time complexity is proposed to obtain the optimal sensor selection probabilities.

Published in:

Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on

Date of Conference:

25-30 March 2012