A Survey of Methods for Finding Outliers in Wireless Sensor Networks

Author

Dylan McDonald
Stewart Sanchez
Sanjay Kumar Madria, Missouri University of Science and TechnologyFollow
Fikret Ercal, Missouri University of Science and TechnologyFollow

Abstract

Outlier detection is a well-studied problem in various fields. The unique characteristics and constraints of wireless sensor networks (WSN) make this problem especially challenging. Sensors can detect outliers for a plethora of reasons and these reasons need to be inferred in real time. Here, we survey the current state of research in this area, compare them and present some future directions for smarter handling of outliers in WSN.

Recommended Citation

D. McDonald et al., "A Survey of Methods for Finding Outliers in Wireless Sensor Networks," Journal of Network and Systems Management, vol. 23, no. 1, pp. 163 - 182, Springer, Jan 2015.

The definitive version is available at https://doi.org/10.1007/s10922-013-9287-z

Department(s)

Computer Science

Comments

U.S. Department of Energy, Grant P200A070359

Keywords and Phrases

Centralized outlier detection; Density based algorithms; Distance based algorithms; Distributed outlier detection; Sensor networks; Trust based algorithms; Un-supervised outlier detection

International Standard Serial Number (ISSN)

1573-7705; 1064-7570

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2024 Springer, All rights reserved.

Publication Date

01 Jan 2015