Proceedings of the 2015 International Conference on Recent Advances in Computer Systems

Smart outlier detection of wireless sensor network

Authors
Sahar Kamal, Rabie A. Ramadan, Fawzy El-Refai
Corresponding Author
Sahar Kamal
Available Online November 2015.
DOI
https://doi.org/10.2991/racs-15.2016.32How to use a DOI?
Keywords
wireless sensor network, outlier’s detection, fuzzy logic, spatial and temporal similarity
Abstract
Data sets collected from wireless sensor networks (WSN)are usually considered unreliable and subject to errors due to limited sensor capabilities and hard environmental resulting in a subset of the sensors data called outlier data .This paper proposes a technique to detect outlier data base on spatial- temporal similarity among data collected by geographically distributed sensors . The proposed technique is able to identify an abnormal subset of data collected by sensor node as outlier data. Moreover the proposed technique is able to classify this abnormal observation, an error data set or event affected set. Simulation result shows that high detection rate is achieved compared to conventional outlier detection techniques while preserving low positive false alarm rate.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
International Conference on Recent Advances in Computer Systems
Part of series
Advances in Computer Science Research
Publication Date
November 2015
ISBN
978-94-6252-146-9
ISSN
2352-538X
DOI
https://doi.org/10.2991/racs-15.2016.32How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Sahar Kamal
AU  - Rabie A. Ramadan
AU  - Fawzy El-Refai
PY  - 2015/11
DA  - 2015/11
TI  - Smart outlier detection of wireless sensor network
BT  - International Conference on Recent Advances in Computer Systems
PB  - Atlantis Press
SN  - 2352-538X
UR  - https://doi.org/10.2991/racs-15.2016.32
DO  - https://doi.org/10.2991/racs-15.2016.32
ID  - Kamal2015/11
ER  -