Wearable sensing is a rapidly expanding research area with significant future potential and
impact, encompassing lifestyle, sports & fitness and healthcare applications. The target of …

This editorial provides a concise introduction to the methods and applications of inertial
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …

Wireless Sensor Network (WSN), which are enablers of the Internet of Things (IoT)
technology, are typically used en-masse in widely physically distributed applications to …

Inertial-sensor-based attitude estimation is a crucial technology in various applications, from
human motion tracking to autonomous aerial and ground vehicles. Application scenarios …

In this study, we conducted a bibliometric analysis and comprehensive review of the studies
published between the period of 2012 and 2022 on resource management in internet of …

The efficient exchange of information is an essential aspect of intelligent collective behavior.
Event-triggered control and estimation achieve some efficiency by replacing continuous data …

Sharing forecasts of network timeseries data, such as cellular or electricity load patterns, can
improve independent control applications ranging from traffic scheduling to power …

When models are inaccurate, the performance of model-based control will degrade. For
linear quadratic control, an event-triggered learning framework is proposed that …

Inertial measurement units are commonly used to estimate the attitude of moving objects.
Numerous nonlinear filter approaches have been proposed for solving the inherent sensor …

The primary source of the various power-quality-disruption (PQD) concerns in smart grids is
the large number of sensors, intelligent electronic devices (IEDs), remote terminal units …