A Survey on Limitations of Traditional Outlier Detection Techniques for Wireless Sensor Networks
Abstract
In Wireless Sensor Networks the major deviations from the sample of sensed data are regarded as outliers which include noise, errors and malevolent attack on the network. Detection of outlier is used to filter noisy data, locate faulty nodes, and find out interesting events. Conventional outlier detection techniques are not directly related to wireless sensor networks due to the nature of sensor data which is univariate and multivariate. This paper gives an outline of traditional outlier detection techniques and their limitations. Further we also discuss about a technique-based classification with characteristics of outlier data and their limitations.
How to cite this article:
Sarangi B, Tripathy B. A Survey on Limitations of Traditional Outlier Detection Techniques for Wireless Sensor Networks. J Engr Desg Anal 2020; 3(2): 65-71.
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