TY - JOUR
T1 - One shot schemes for decentralized quickest change detection
AU - Hadjiliadis, Olympia
AU - Zhang, Hongzhong
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received June 23, 2008; revised January 21, 2009. Current version published June 24, 2009. This work was supported in part by the U.S. National Science Foundation under Grants CNS-06-25637 and CCF-07-28208. O. Hadjiliadis is with the Department of Mathematics, Brooklyn College, and the Department of Computer Science, the Department of Mathematics, the Graduate Center of the City University of New York, New York, NY 10016 USA (e-mail: [email protected]). H. Zhang is with the Department of Mathematics, the Graduate Center of the City University of New York, New York, NY 10016 USA (e-mail: hzhang3@gc. cuny.edu). H. V. Poor is with the Department of Electrical Engineering, Princeton University, Princeton, NJ 08544 USA (e-mail: [email protected]). Communicated by J. Romberg, Associate Editor for Signal Processing. Color versions of Figures 1–3 in this paper are available online at http://iee-explore.ieee.org. Digital Object Identifier 10.1109/TIT.2009.2021311
PY - 2009
Y1 - 2009
N2 - This work considers the problem of quickest detection with N distributed sensors that receive sequential observations either in discrete or in continuous time from the environment. These sensors employ cumulative sum (CUSUM) strategies and communicate to a central fusion center by one shot schemes. One shot schemes are schemes in which the sensors communicate with the fusion center only once, via which they signal a detection. The communication is clearly asynchronous and the case is considered in which the fusion center employs a minimal strategy, which means that it declares an alarm when the first communication takes place. It is assumed that the observations received at the sensors are independent and that the time points at which the appearance of a signal can take place are different. Both the cases of the same and different signal distributions across sensors are considered. It is shown that there is no loss of performance of one shot schemes as compared to the centralized case in an extended Lorden min-max sense, since the minimum of N CUSUMs is asymptotically optimal as the mean time between false alarms increases without bound. In the case of different signal distributions the optimal threshold parameters are explicitly computed.
AB - This work considers the problem of quickest detection with N distributed sensors that receive sequential observations either in discrete or in continuous time from the environment. These sensors employ cumulative sum (CUSUM) strategies and communicate to a central fusion center by one shot schemes. One shot schemes are schemes in which the sensors communicate with the fusion center only once, via which they signal a detection. The communication is clearly asynchronous and the case is considered in which the fusion center employs a minimal strategy, which means that it declares an alarm when the first communication takes place. It is assumed that the observations received at the sensors are independent and that the time points at which the appearance of a signal can take place are different. Both the cases of the same and different signal distributions across sensors are considered. It is shown that there is no loss of performance of one shot schemes as compared to the centralized case in an extended Lorden min-max sense, since the minimum of N CUSUMs is asymptotically optimal as the mean time between false alarms increases without bound. In the case of different signal distributions the optimal threshold parameters are explicitly computed.
KW - Cumulative sum (CUSUM)
KW - One shot schemes
KW - Optimal sensor threshold selection
KW - Quickest detection
UR - http://www.scopus.com/inward/record.url?scp=67650165320&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=67650165320&partnerID=8YFLogxK
U2 - 10.1109/TIT.2009.2021311
DO - 10.1109/TIT.2009.2021311
M3 - Article
AN - SCOPUS:67650165320
SN - 0018-9448
VL - 55
SP - 3346
EP - 3359
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 7
ER -