Distributed spatio-temporal outlier detection in sensor networks

Minwook C. Jun; H. Jeong; C.-C. Jay Kuo

doi:10.1117/12.604764

2 June 2005 Distributed spatio-temporal outlier detection in sensor networks

Minwook C. Jun, H. Jeong, C.-C. Jay Kuo

Proceedings Volume 5819, Digital Wireless Communications VII and Space Communication Technologies; (2005) https://doi.org/10.1117/12.604764
Event: Defense and Security, 2005, Orlando, Florida, United States

Abstract

A spatio-temporal filtering method is proposed to detect outliers in wireless sensor networks in this work. Outliers are assumed to be uncorrelated in time and space, and modeled as an alpha-stable distribution. The proposed algorithm consists of collaborative time-series estimation, variogram application, and principle component analysis (PCA). It is realized on self-organized clusters that can manage the data locally. Conceptually, each node detects any temporally abnormal data and transmits the rectified data to a local cluster-head, which detects any survived spatial outliers and determines the faulty sensors accordingly. As a result, faulty sensors do not burden the sink to achieve the following two goals simultaneously, i.e., enhancing the data quality and reducing the communication cost in wireless sensor networks. It is demonstrated that the maximum outlier detection rate is around 94% when the noise level is alpha=0.9.

Citation Download Citation

Minwook C. Jun, H. Jeong, and C.-C. Jay Kuo "Distributed spatio-temporal outlier detection in sensor networks", Proc. SPIE 5819, Digital Wireless Communications VII and Space Communication Technologies, (2 June 2005); https://doi.org/10.1117/12.604764

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available