DocumentCode :
3355808
Title :
Decentralized data-efficient quickest change detection
Author :
Banerjee, Taposh ; Veeravalli, Venugopal V. ; Tartakovsky, Alexander
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois, Urbana, IL, USA
fYear :
2013
fDate :
7-12 July 2013
Firstpage :
2587
Lastpage :
2591
Abstract :
The problem of decentralized quickest change detection is studied with an additional constraint on the cost of observations used at each sensor. Minimax problem formulations are proposed for the problem. A distributed algorithm called the DE-All algorithm is proposed in which on-off observation control is employed locally at each sensor. It is shown that the proposed algorithm is asymptotically optimal up to first order for the proposed formulations.
Keywords :
distributed algorithms; minimax techniques; sensor fusion; DE-All algorithm; decentralized quickest change de- tection; distributed algorithm; minimax problem formulation; on-off observation control; sensor; Algorithm design and analysis; Delays; Educational institutions; Information theory; Manganese; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
ISSN :
2157-8095
Type :
conf
DOI :
10.1109/ISIT.2013.6620694
Filename :
6620694
Link To Document :
بازگشت