Anomaly Detection in Wireless Sensor Networks in a Non-Stationary Environment

被引：82
|
作者：
O'Reilly, Colin [1 ]
Gluhak, Alexander [1 ]
Imran, Muhammad Ali [1 ]
Rajasegarar, Sutharshan [2 ]
机构：
[1] Univ Surrey, Ctr Commun Syst Res, Guildford GU2 5XH, Surrey, England
[2] Univ Melbourne, Dept Elect & Elect Engn, Melbourne, Vic, Australia
来源：
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS | 2014年 / 16卷 / 03期
基金：
英国工程与自然科学研究理事会;
关键词：
Wireless sensor networks; anomaly detection; outlier detection; non-stationary; concept drift; distributed computing; OUTLIER DETECTION; ALGORITHMS;
D O I：
10.1109/SURV.2013.112813.00168
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Anomaly detection in a wireless sensor network (WSN) is an important aspect of data analysis in order to identify data items that significantly differ from normal data. A characteristic of the data generated by a WSN is that the data distribution may alter over the lifetime of the network due to the changing nature of the phenomenon being observed. Anomaly detection techniques must be able to adapt to a non-stationary data distribution in order to perform optimally. In this survey, we provide a comprehensive overview of approaches to anomaly detection in a WSN and their operation in a non-stationary environment.
引用
收藏
页码：1413 / 1432
页数：20
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