Smart outlier detection of wireless sensor network

DOI

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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - Proceedings of the 2015 International Conference on Recent Advances in Computer Systems
PB  - Atlantis Press
SP  - 183
EP  - 188
SN  - 2352-538X
UR  - https://doi.org/10.2991/racs-15.2016.32
DO  - 10.2991/racs-15.2016.32
ID  - Kamal2015/11
ER  -