Internet of Things (IoT) is emerging as the underlying technology of our connected society,
which enables many advanced applications. In IoT-enabled applications, information of …

For resource-constrained IoT systems, data collection is one of the fundamental operations
to reduce the energy dissipation of sensor nodes and improve the network lifetime …

Internet of Things (IoT) devices are composed of millions of sensors that continuously sense
environmental parameters which are effectively fused to gain insights on a particular area or …

Various types of sensor data can be collected by the Internet of Things (IoT). Each sensor
node has spatial attributes and may also be associated with a large number of measurement …

In the applications of sensor networks, outlier detection has attracted more and more
attention. The identification of outliers can be used to filter false data, find faulty nodes and …

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 …

Selecting the right features for further data analysis is important in the process of equipment
anomaly detection, especially when the origin data source involves high dimensional data …

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 …

Outlier detection in the Internet of Things (IoT) is an essential challenge issue studied in
numerous fields, including fraud monitoring, intrusion detection, secure localization, trust …

In the recent era of the Internet of Things, the dominant role of sensors and the Internet
provides a solution to a wide variety of real-life problems. Such applications include smart …