A survey of outlier detection techniques in IoT: Review and classification
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 …
various applications. From small home networks to large-scale networks, the aim is the …
[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 …
Adaptive radar detection of subspace-based distributed target in power heterogeneous clutter
D **ao, W Liu, J Liu, L Dai, X Fang… - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
This paper investigates the problem of adaptive detection of distributed targets in power
heterogeneous clutter. In the considered scenario, all the data share the identical structure …
heterogeneous clutter. In the considered scenario, all the data share the identical structure …
A systematic literature review on outlier detection in wireless sensor networks
A wireless sensor network (WSN) is defined as a set of spatially distributed and
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
interconnected sensor nodes. WSNs allow one to monitor and recognize environmental …
Gaussian distribution-based machine learning scheme for anomaly detection in healthcare sensor cloud
Smart information systems are based on sensors that generate a huge amount of data. This
data can be stored in cloud for further processing and efficient utilization. Anomalous data …
data can be stored in cloud for further processing and efficient utilization. Anomalous data …
Lightweight anomaly detection scheme using incremental principal component analysis and support vector machine
Wireless Sensors Networks have been the focus of significant attention from research and
development due to their applications of collecting data from various fields such as smart …
development due to their applications of collecting data from various fields such as smart …
Data quality analysis and cleaning strategy for wireless sensor networks
H Cheng, D Feng, X Shi, C Chen - EURASIP Journal on Wireless …, 2018 - Springer
The quality of data in wireless sensor networks has a significant impact on decision support,
and data cleaning is an effective way to improve data quality. However, if the data cleaning …
and data cleaning is an effective way to improve data quality. However, if the data cleaning …
Fault Matters: Sensor data fusion for detection of faults using Dempster–Shafer theory of evidence in IoT-based applications
Fault detection in sensor nodes is a pertinent issue that has been an important area of
research for a very long time. But it is not explored much as yet in the context of Internet of …
research for a very long time. But it is not explored much as yet in the context of Internet of …
RDCM: An efficient real-time data collection model for IoT/WSN edge with multivariate sensors
NAM Alduais, J Abdullah, A Jamil - IEEE Access, 2019 - ieeexplore.ieee.org
In the application of the Internet of Things (IoT), a sensor board depends on a battery that
has a limited lifetime to function. Furthermore, the IoT sensor board with multivariate sensors …
has a limited lifetime to function. Furthermore, the IoT sensor board with multivariate sensors …
An Anomaly Detection Method for Wireless Sensor Networks Based on the Improved Isolation Forest
J Chen, J Zhang, R Qian, J Yuan, Y Ren - Applied Sciences, 2023 - mdpi.com
With the continuous development of technologies such as the Internet of Things (IoT) and
cloud computing, sensors collect and store large amounts of sensory data, realizing real …
cloud computing, sensors collect and store large amounts of sensory data, realizing real …