An edge computing based anomaly detection method in IoT industrial sustainability
X Yu, X Yang, Q Tan, C Shan, Z Lv - Applied Soft Computing, 2022 - Elsevier
In recent years, the evolving Internet of Things (IoT) technology has been widely used in
various industrial scenarios, whereby massive sensor data involving both normal data and …
various industrial scenarios, whereby massive sensor data involving both normal data and …
Efficient data aggregation with node clustering and extreme learning machine for WSN
I Ullah, HY Youn - The Journal of Supercomputing, 2020 - Springer
Wireless sensor network is effective for data aggregation and transmission in IoT
environment. Here, the sensor data often contain a significant amount of noises or …
environment. Here, the sensor data often contain a significant amount of noises or …
A data aggregation approach exploiting spatial and temporal correlation among sensor data in wireless sensor networks
Wireless sensor networks (WSNs) have various applications which include zone
surveillance, environmental monitoring, event tracking where the operation mode is long …
surveillance, environmental monitoring, event tracking where the operation mode is long …
An adaptive method based on contextual anomaly detection in internet of things through wireless sensor networks
X Yu, H Lu, X Yang, Y Chen, H Song… - … Journal of Distributed …, 2020 - journals.sagepub.com
With the widespread propagation of Internet of Things through wireless sensor networks,
massive amounts of sensor data are being generated at an unprecedented rate, resulting in …
massive amounts of sensor data are being generated at an unprecedented rate, resulting in …
A novel data aggregation scheme based on self-organized map for WSN
I Ullah, HY Youn - The Journal of Supercomputing, 2019 - Springer
Wireless sensor network allows efficient data collection and transmission in IoT
environment. Since it usually consists of a large number of sensor nodes, a significant …
environment. Since it usually consists of a large number of sensor nodes, a significant …
[HTML][HTML] Power-saving system designs for hexagonal cell based wireless sensor networks with directional transmission
This paper examines the lifetimes of alternative system configurations for a wireless sensor
network (WSN) in a circular region. The coverage region is divided into hexagonal cells, and …
network (WSN) in a circular region. The coverage region is divided into hexagonal cells, and …
Data redundancy implications in wireless sensor networks
Redundancy ensures reliable data for decision making. Reliable data plays a very important
role in the analysis, monitoring and forecasting of system behaviour whereas bad quality …
role in the analysis, monitoring and forecasting of system behaviour whereas bad quality …
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 …
Reliable spatial and temporal data redundancy reduction approach for WSN
Data generated by sensors are inherently apt to spatial and temporal redundancy owing to
the proximity of sensors that could sense the same environment or react to the same event …
the proximity of sensors that could sense the same environment or react to the same event …
Anomaly detection and redundancy elimination of big sensor data in internet of things
S Xie, Z Chen - arXiv preprint arXiv:1703.03225, 2017 - arxiv.org
In the era of big data and Internet of things, massive sensor data are gathered with Internet
of things. Quantity of data captured by sensor networks are considered to contain highly …
of things. Quantity of data captured by sensor networks are considered to contain highly …