A survey of outlier detection techniques in IoT: Review and classification

MA Samara, I Bennis, A Abouaissa… - Journal of Sensor and …, 2022 - mdpi.com
The Internet of Things (IoT) is a fact today where a high number of nodes are used for
various applications. From small home networks to large-scale networks, the aim is the …

[HTML][HTML] Outlier detection strategies for WSNs: A survey

B Chander, G Kumaravelan - Journal of King Saud University-Computer …, 2022 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are developed significantly from the last
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …

Sensor anomaly detection in wireless sensor networks for healthcare

SA Haque, M Rahman, SM Aziz - Sensors, 2015 - mdpi.com
Wireless Sensor Networks (WSN) are vulnerable to various sensor faults and faulty
measurements. This vulnerability hinders efficient and timely response in various WSN …

A hypergrid based adaptive learning method for detecting data faults in wireless sensor networks

L Chen, G Li, G Huang - Information Sciences, 2021 - Elsevier
In wireless sensor networks (WSNs), data anomalies/faults often occur due to the limited
resources and unreliability of sensor nodes. Many traditional anomaly detection methods …

Outlier detection in wireless sensor networks using machine learning techniques: a survey

RK Dwivedi, AK Rai, R Kumar - 2020 International Conference …, 2020 - ieeexplore.ieee.org
Now-a-days, Internet of Things (IoT) based systems are developing very fast which have
various type of wireless sensor networks (WSN) behind it. These networks have various …

An incremental local outlier detection method in the data stream

H Yao, X Fu, Y Yang, O Postolache - Applied Sciences, 2018 - mdpi.com
Outlier detection has attracted a wide range of attention for its broad applications, such as
fault diagnosis and intrusion detection, among which the outlier analysis in data streams …

Machine learning based hybrid model for fault detection in wireless sensors data

PR Vamsi, A Chahuan - EAI Endorsed Transactions on …, 2020 - publications.eai.eu
Abstract Wireless Sensor Networks (WSN) refers to a group of spatially deployed and
dedicated sensors for sending, recording, and monitoring the physical conditions of the …

[PDF][PDF] Detection and Localization of Faults in a Regional Power Grid: Faults in a Regional Power Grid

P Kokoszka, M Rimkus, SS Hosur, D Duan… - Austrian Journal of …, 2023 - ajs.or.at
The structure of power flows in transmission grids is evolving and is likely to change
significantly in the coming years due to the rapid growth of renewable energy generation …

An adaptive sliding-window strategy for outlier detection in wireless sensor networks for smart port construction

H Yao, Y Yang, X Fu, C Mi - Journal of Coastal Research, 2018 - meridian.allenpress.com
ABSTRACT Yao, H.; Yang, Y.; Fu, X., and Mi, C., 2018. An adaptive sliding-window strategy
for outlier detection in wireless sensor networks for smart port construction. In: Ashraf, MA …

Anomaly detection using data mining methods in it systems: a decision support application

F Sönmez, M Zontul, O Kaynar… - Sakarya University Journal …, 2018 - dergipark.org.tr
Although there are various studies on anomaly detection, simple and effective anomaly
detection approaches are still necessary due to the lack of appropriate approaches for large …