Detecting sensor faults, anomalies and outliers in the internet of things: A survey on the challenges and solutions

A Gaddam, T Wilkin, M Angelova, J Gaddam - Electronics, 2020 - mdpi.com
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 …

[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 …

Region-of-interest based video coding strategy for rate/energy-constrained smart surveillance systems using WMSNs

A Aliouat, N Kouadria, M Maimour, S Harize… - Ad Hoc Networks, 2023 - Elsevier
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 …

State of the art on quality control for data streams: A systematic literature review

M Mirzaie, B Behkamal, M Allahbakhsh… - Computer Science …, 2023 - Elsevier
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 …

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 …

An efficient data aggregation and outlier detection scheme based on radial basis function neural network for WSN

I Ullah, HY Youn, YH Han - Journal of Ambient Intelligence and …, 2021 - Springer
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 …

Anomaly detection models for detecting sensor faults and outliers in the IoT-a survey

A Gaddam, T Wilkin, M Angelova - 2019 13th International …, 2019 - ieeexplore.ieee.org
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 …

An efficient outlier detection approach for streaming sensor data based on neighbor difference and clustering

S Cai, J Chen, B Yin, R Sun, C Zhang… - Security and …, 2022 - Wiley Online Library
In wireless sensor networks (WSNs), the widely distributed sensors make the real‐time
processing of data face severe challenges, which prompts the use of edge computing …

EOCGS: Energy efficient optimum number of cluster head and grid head selection in wireless sensor networks

A Panchal, RK Singh - Telecommunication Systems, 2021 - Springer
Abstract Wireless Sensor Network (WSN) is widely used for collecting the information from
the target region by deploying the sensor nodes in that region. In WSNs, energy saving is …

Entropy-based grid approach for handling outliers: a case study to environmental monitoring data

A Shah, B Ali, F Wahab, I Ullah, KTT Amesho… - … Science and Pollution …, 2023 - Springer
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 …