Power system energy management is performed at different levels with different aims. The most important goals of optimal energy management of the power systems are cost reduction, reduce emissions, improve reliability and power quality indexes, increase profitability, etc. Innovative methods can be used to provide an energy management plan, or energy management can be defined as an optimization problem and optimization algorithms can be used to solve it. Uncertainties are also very important issues in power system operation programs, especially in the lower levels of the power system (microgrids). The electric vehicle parking lots or aggregators can also be used in the microgrids to store energy, in which case the issue of energy management takes on a new face. Therefore, to provide a good energy management program for the power system, one must have a detailed knowledge of its components and the technical constraints of the power system. Therefore, to provide a good energy management program, a comprehensive model of the power system with detailed data should be provided.

This Topical Collection is dedicated to highlighting the cutting-edge methods and latest research in the field of smart sensing, primarily in terms of exploring the latest machine learning analytics to extract information from the consequent sensory data, and investigating potential risk and countermeasures to ensure the security and privacy of sensing devices in WSN based Internet of Things/ Industrial Internet of things (IoT/IIoT). It allows researchers in WSN and IoT community to demonstrate their new ideas which may potentially reshape the future of IoT/IIoT. While sensing data have been traditionally processed within a powerful remote cloud server, the recent emergence of edge computing with these communication technologies makes it feasible to perform AI processing at the edges. Edge processing is aimed at overcoming the slower and more expensive method of sending the data to the cloud. The benefits of the parallel development of cloud-edge technologies in wireless sensor networks and communications are manifold. The progress in the development of these technologies has opened several new opportunities in multi-domain applications, such as smart cities, transportation, intelligent manufacturing, and e-Health.