One Shot Schemes for Decentralized Quickest Change Detection

被引:65
|
作者
Hadjiliadis, Olympia [1 ,2 ]
Zhang, Hongzhong
Poor, H. Vincent [3 ]
机构
[1] CUNY Brooklyn Coll, Dept Math, New York, NY 10016 USA
[2] CUNY, Grad Ctr, Dept Math, Dept Comp Sci, New York, NY 10016 USA
[3] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA
基金
美国国家科学基金会;
关键词
Cumulative sum (CUSUM); one shot schemes; optimal sensor threshold selection; quickest detection; CUSUM;
D O I
10.1109/TIT.2009.2021311
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:3346 / 3359
页数:14
相关论文
共 50 条
  • [21] ADAPTIVE QUICKEST CHANGE DETECTION WITH UNKNOWN PARAMETER
    Li, Chengzhi
    Dai, Huaiyu
    Li, Husheng
    2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS, 2009, : 3241 - +
  • [22] Toward Uncertainty Aware Quickest Change Detection
    Hare, James Zachary
    Kaplan, Lance
    Veeravalli, Venugopal V.
    2021 IEEE 24TH INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION), 2021, : 461 - 468
  • [23] Autocorrelation-Based Quickest Change Detection
    Afser, Huseyin
    Yabaci, Seyhun Barbaros
    IEEE COMMUNICATIONS LETTERS, 2020, 24 (12) : 2913 - 2916
  • [24] Quickest Change Detection for Unnormalized Statistical Models
    Wu, Suya
    Diao, Enmao
    Banerjee, Taposh
    Ding, Jie
    Tarokh, Vahid
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2024, 70 (02) : 1220 - 1232
  • [25] OPTIMAL SAMPLING POLICY FOR QUICKEST CHANGE DETECTION
    Lau, Tze Siong
    Tay, Wee Peng
    2017 IEEE GLOBAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING (GLOBALSIP 2017), 2017, : 613 - 617
  • [26] Bayesian Quickest Change Detection for Active Sensors
    Sukumaran, Vineeth Bala
    IEEE COMMUNICATIONS LETTERS, 2016, 20 (11) : 2229 - 2232
  • [27] Robust Quickest Change Detection for Unnormalized Models
    Wu, Suya
    Diao, Enmao
    Banerjee, Taposh
    Ding, Jie
    Tarokh, Vahid
    UNCERTAINTY IN ARTIFICIAL INTELLIGENCE, 2023, 216 : 2314 - 2323
  • [28] Robust quickest change detection in nonstationary processes
    Hou, Yingze
    Oleyaeimotlagh, Yousef
    Mishra, Rahul
    Bidkhori, Hoda
    Banerjee, Taposh
    SEQUENTIAL ANALYSIS-DESIGN METHODS AND APPLICATIONS, 2024, 43 (03): : 275 - 300
  • [29] Quickest Change Detection With Post-Change Density Estimation
    Liang, Yuchen
    Veeravalli, Venugopal V.
    IEEE TRANSACTIONS ON INFORMATION THEORY, 2024, 70 (11) : 8072 - 8086
  • [30] ASYMPTOTICALLY OPTIMAL QUICKEST CHANGE DETECTION UNDER A NUISANCE CHANGE
    Lau, Tze Siang
    Tay, Wee Peng
    2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2019, : 5307 - 5311