nternet of Things IoT developed for monitoring, control, and management of sectors such as Smart Cities, Energy, Environment, Transport, Manufacture, Industrial Automation, Maritime, Healthcare, Education, etc, by interconnecting devices over internet. New sectors emerged in renewable energy systems, industrial motion drives, sensors and actuators. This article presents the design, and development of specific IoT applications for wind energy generating units, and electric drives. IoT technologies in the control systems of electric machines, mainly in applications of motor drives, and wind energy generating systems, contribute to improved monitoring, and management of performance, and to possible savings of energy. The experimental configurations upgrade laboratory infrastructure and offer new teaching and research perspectives to engineering education.

The technology of Internet of Things (IoT) can be integrated with systems of electrical machines, for electric drives and wind and solar generation systems, and advance controlling and monitoring. This work presented recent research and progress of electrical drives with IoT technology, regarding design, operation, and trial of the control system for induction motors (ΙΜ). Also, the developed software code and hardware units for speed control were detailed and the results obtained from tests of performance of the ΙΜ integrated with IoT were described. With the IoT integration set-up, the operator can control the frequency values, obtain real-time feedback of the process, and monitor the system during varying loads in steady state. The operation of the ΙΜ system driven by inverter and its monitoring over IoT was proven to have high-accuracy speed control and increased efficiency at supersynchronous speeds. Thus, IoT establishes potentials to become a multipurpose tool in the industrial control of electric drives. This paper established one case study of an IoT set-up and control technique for IM, which is suitable for energy engineering experts in the field of IoT control of industrial equipment.

Network technologies are embracing the cloud-native paradigm, following the current best practices in cloud computing. Cloud-native technologies might be applied to different types of network functions in a mobile network, but they are particularly relevant nowadays for core network functions, as the recent standard introduces the Service-Based Architecture that matches modern cloud-native technologies such as Docker or Kubernetes. In parallel, a number of open source software initiatives already provide researchers and practitioners with usable software that implements the key functionality of a mobile network (both for LTE and 5G). These software solutions, however, are monolithic and not integrated into state-of-the-art cloudnative frameworks. In this paper, we fill this gap by describing the implementation of a cloud-native mobile network, which supports channel emulation and provides an affordable and scalable way of testing orchestration algorithms with standardized VIM interfaces. Our experimental evaluation shows the applicability of our solution, which is released as open-source and illustrates its flexibility.