Quickest Change Detection in Adaptive Censoring Sensor Networks
نویسندگان
چکیده
منابع مشابه
Quickest Change Detection in Hidden Markov Models for Sensor Networks
The decentralized quickest change detection problem is studied in sensor networks, where a set of sensors receive observations from a hidden Markov model (HMM) X and send sensor messages to a central processor, called the fusion center, which makes a final decision when observations are stopped. It is assumed that the parameter θ in the hidden Markov model for X changes from θ0 to θ1 at some un...
متن کاملQuickest Change Detection with a Censoring Sensor in the Minimax Setting
The problem of quickest change detection with a wireless sensor node is studied in this paper. The sensor that is deployed to monitor the environment has limited energy constraint to the classical quickest change detection problem. We consider the “censoring” strategy at the sensor side, i.e., the sensor selectively sends its observations to the decision maker. The quickest change detection pro...
متن کاملAdaptive Quickest Change Detection with Unknown Parameters
In this report quickest detection of an abrupt distribution change with unknown time varying parameters is considered. A novel adaptive approach, Adaptive CUSUM Test, is proposed to tackle this problem, which is shown to outperform the celebrated Parallel CUSUM Test. Performance is evaluated through theoretical analysis and numerical simulations.
متن کاملAsymptotically Optimal Quickest Change Detection in Distributed Sensor Systems
In the standard formulation of the quickest change-point detection problem, a sequence of observations, whose distribution changes at some unknown point in time, is available to a decision maker, and the goal is to detect this change as quickly as possible, subject to false alarm constraints. In this paper, we study the quickest change detection problem in the setting where the information avai...
متن کاملDecentralized quickest change detection
A decentralized formulation of the quickest change detection problem is studied, where the distributions of the observations at all of the sensors in the system change at the time of disruption, and the sensors communicate with a common fusion center. A Bayesian setting is considered in which a priori knowledge of the change time distribution is available. The observations are assumed to be ind...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Control of Network Systems
سال: 2018
ISSN: 2325-5870
DOI: 10.1109/tcns.2016.2598250