Title :
Information bounds and asymptotically optimal procedures for detecting changes in decentralized decision systems
Author_Institution :
Fred Hutchinson Cancer Res. Center, Seattle, WA, USA
fDate :
27 June-2 July 2004
Abstract :
This paper develops sharp information-theoretic bounds and offers asymptotically optimal procedures for decentralized quickest change detection under different scenarios. A lower bound of the detection delay is developed in the system with limited local memory and it is proved that the decentralised CUSUM procedure with a monotone likelihood ratio quantiser (MLRQ) defined is asymptotically optimal.
Keywords :
delays; information theory; multivariable systems; sensors; asymptotically optimal procedures; decentralized decision systems; detection delay; local memory; monotone likelihood ratio quantiser; sharp information-theoretic bounds; Cancer detection; Delay effects; Density functional theory; Exponential distribution; Feedback; Information theory; Sensor fusion; Sensor systems; Surveillance; Wireless communication;
Conference_Titel :
Information Theory, 2004. ISIT 2004. Proceedings. International Symposium on
Print_ISBN :
0-7803-8280-3
DOI :
10.1109/ISIT.2004.1365287
