The collection bridges the gap between traditional engineering practices and the latest technological advancements. Spanning from the intricate scale of materials to the broader dimensions of structures and systems, this collection offers a panoramic view of the engineering landscape. Open to a diverse range of engineering disciplines, it welcomes contributions from areas such as Mechanical Engineering, Aerospace Engineering, Chemical Engineering, Environmental Engineering, Nuclear Engineering, Automotive Engineering, and Civil Engineering. Central to the collection is the integration of time-tested traditional methodologies with modern innovations like additive manufacturing and digital twins. Topics of interest include design simulations (single- or multi-scale), precision manufacturing, system maintenance, and the harmonization of legacy systems with contemporary tools, all while emphasizing the importance of understanding materials and their influence on larger structures and systems. By offering a blend of foundational knowledge and cutting-edge insights, this collection serves as an invaluable resource for authors aiming to showcase their research and readers keen on understanding the evolution of engineering practices.

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.