Title :
Controlled sensing for sequential multihypothesis testing with non-uniform sensing cost
Author :
Nitinawarat, S. ; Veeravalli, Venugopal V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
Abstract :
A new model for controlled sensing for sequential multihypothesis testing is proposed and studied. This new model generalizes the existing model in two aspects. First, it exhibits a more complicated memory structure in the controlled observations than that in the existing model. Second, it is applicable to the situation with a very general sensing cost that can depend on realizations of the control signals up to a stopping time. An asymptotically optimal sequential test is proposed and is proven to enjoy a strong asymptotic optimality condition pertaining to a tradeoff between error probabilities and cost.
Keywords :
Markov processes; error statistics; sensor fusion; wireless sensor networks; Markovian observation model; asymptotic optimality condition; asymptotically optimal sequential test; control signal realization; controlled sensing; error probability; general sensing cost; nonuniform sensing cost; sequential multihypothesis testing; stopping time; Cost function; Educational institutions; Mathematical model; Optimal control; Sensors; Stochastic processes; Testing;
Conference_Titel :
Signals, Systems and Computers, 2013 Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
978-1-4799-2388-5
DOI :
10.1109/ACSSC.2013.6810462
