… group data anomaly detection on the multivariate time-series of IIoT systems; 2) How to get
… with multivariate information for fast and accurate AD of complex devices at IIoT-dege. Unlike …

… In [44], the authors proposed an energy-efficient approach for compressing multivariate
time-… The second challenge can be addressed by exploiting the network information such as …

… IIoT data further improves the value of IIoT. Though some research articles are available
focused on the Edge… the detailed analysis on multi-dimensional IIoT data is not discussed or well…

… Edge Computing based Industrial Internet of Things (ECIIoT) … in the information industry,
which consists of edge computing … Due to the bottleneck on data transmission rang, edge …

… the heterogeneous information collected by the IIoT devices to a specified edge server for
… Tang, “Multivariate abnormal detection for industrial control systems using 1D CNN and …

… analysis at the edge in the end-edge-cloud Industrial Internet of Things (IIoT) architecture. …
main challenges in edge data management due to the limited storage resource of edge nodes. …

… Industrial Internet of Things (IIoT) can be employed to sense … scheme based on hierarchical
edge computing model is … to the network through information sensing devices and com…

… of large-scale edge devices in the IIoT paradigm has laid a variety of new edge-based …
Highly important and useful information can be excerpted from the large volume of sensor …

… Next, we review methods for multivariate time series graph construction and … in IIoT systems,
leveraging a new graph convolution called influence propagation to simulate the information …

… the industry process reliably based on IIoT is a significant yet … the framework of IIoT: signal
processing, multivariate statistics, … The information layer is the core of the IIoT, which analyzes …