Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions
The Internet of Things (IoT) has gained significant recognition to become a novel sensing
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …
paradigm to interact with the physical world in this Industry 4.0 era. The IoTs are being used …
Recent advances in anomaly detection in Internet of Things: Status, challenges, and perspectives
This paper provides a comprehensive survey of anomaly detection for the Internet of Things
(IoT). Anomaly detection poses numerous challenges in IoT, with broad applications …
(IoT). Anomaly detection poses numerous challenges in IoT, with broad applications …
Region-of-interest based video coding strategy for rate/energy-constrained smart surveillance systems using WMSNs
Video surveillance systems that involve embedded visual sensor nodes have significant
constraints due to their limited energy sources. Reducing the power consumption of the in …
constraints due to their limited energy sources. Reducing the power consumption of the in …
[HTML][HTML] Outlier detection strategies for WSNs: A survey
Abstract Wireless Sensor Networks (WSNs) are developed significantly from the last
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …
decades and attracted the attention of scientific and industrial domains. In WSNs, sensor …
Entropy-based grid approach for handling outliers: a case study to environmental monitoring data
Grid-based approaches render an efficient framework for data clustering in the presence of
incomplete, inexplicit, and uncertain data. This paper proposes an entropy-based grid …
incomplete, inexplicit, and uncertain data. This paper proposes an entropy-based grid …
RCH-LEACH: Residual energy based cluster head selection in LEACH for wireless sensor networks
A Panchal, L Singh, RK Singh - 2020 International Conference …, 2020 - ieeexplore.ieee.org
Information sensing in an energy-efficient manner is the prime object of Wireless Sensor
Networks (WSNs). WSN consist of randomly deployed sensor nodes, which are distributed …
Networks (WSNs). WSN consist of randomly deployed sensor nodes, which are distributed …
A novel self-supervised learning-based anomalous node detection method based on an autoencoder for wireless sensor networks
M Ye, Q Zhang, X Xue, Y Wang, Q Jiang… - IEEE Systems …, 2024 - ieeexplore.ieee.org
To address the issue that existing wireless sensor network (WSN)-based anomaly detection
methods only consider and analyze temporal features, in this article, a self-supervised …
methods only consider and analyze temporal features, in this article, a self-supervised …
Anomaly detection models for detecting sensor faults and outliers in the IoT-a survey
Over the past few years, the Internet of Things (IoT) has gained significant recognition to
become a novel sensing paradigm to interact with the physical world. The sensors within the …
become a novel sensing paradigm to interact with the physical world. The sensors within the …
An efficient data aggregation and outlier detection scheme based on radial basis function neural network for WSN
Wireless sensor network (WSN) is used for data collection and transmission in IoT
environment. Since it consists of a large number of sensor nodes, a significant amount of …
environment. Since it consists of a large number of sensor nodes, a significant amount of …
State of the art on quality control for data streams: A systematic literature review
These days, endless streams of data are generated by various sources such as sensors,
applications, users, etc. Due to possible issues in sources, such as malfunctions in sensors …
applications, users, etc. Due to possible issues in sources, such as malfunctions in sensors …