Decentralized Sequential Hypothesis Testing using Asynchronous Communication Export

@article{citeulike:5689077, abstract = {We present a test for the problem of decentralized sequential hypothesis testing, which is asymptotically optimum. By selecting a suitable sampling mechanism at each sensor, communication between sensors and fusion center is asynchronous and limited to 1-bit data. The proposed SPRT-like test turns out to be order-2 asymptotically optimum in the case of continuous time and continuous path signals, while in discrete time this strong asymptotic optimality property is preserved under proper conditions. If these conditions do not hold, then we can show optimality of order-1. Simulations corroborate the excellent performance characteristics of the test of interest.}, archivePrefix = {arXiv}, author = {Fellouris, Georgios and Moustakides, George V.}, citeulike-article-id = {5689077}, citeulike-linkout-0 = {http://arxiv.org/abs/0908.4262}, citeulike-linkout-1 = {http://arxiv.org/pdf/0908.4262}, day = {28}, eprint = {0908.4262}, keywords = {distributed, distributedalgorithms, signalprocessing, statistics}, month = {Aug}, posted-at = {2009-08-31 14:09:18}, priority = {2}, title = {Decentralized Sequential Hypothesis Testing using Asynchronous Communication}, url = {http://arxiv.org/abs/0908.4262}, year = {2009} }

TY - JOUR ID - citeulike:5689077 L3 - citeulike-article-id:5689077 N2 - We present a test for the problem of decentralized sequential hypothesis testing, which is asymptotically optimum. By selecting a suitable sampling mechanism at each sensor, communication between sensors and fusion center is asynchronous and limited to 1-bit data. The proposed SPRT-like test turns out to be order-2 asymptotically optimum in the case of continuous time and continuous path signals, while in discrete time this strong asymptotic optimality property is preserved under proper conditions. If these conditions do not hold, then we can show optimality of order-1. Simulations corroborate the excellent performance characteristics of the test of interest. TI - Decentralized Sequential Hypothesis Testing using Asynchronous Communication KW - distributed KW - distributedalgorithms KW - signalprocessing KW - statistics AU - Fellouris, Georgios AU - Moustakides, George PY - 2009/Aug/28/ UR - http://arxiv.org/abs/0908.4262 ER -