Adaptive energy consumption optimization using IoT-based wireless sensor networks and structural health monitoring systems

Recent developments in combining sensors, communication systems, and other fields such as cloud com- puting and Big Data analysis have provided the perfect tools for researchers, developers, and industries to develop cutting edge systems for improving energy efficiency and consumption. Smart homes, smart sensors, and Internet of Things (IoT) are just a few examples of these technologies that will lead to more sustainable and more resilient energy systems. This paper presents a new system based on a network of wearable devices, customized structural monitoring systems, and other sensors which have been devel- oped to make energy consumption optimization more intelligent, adaptive, and efficient. Current indus- trial solutions for improving energy efficiency and energy consumption in the residential and industrial buildings, especially large ones, do not provide ideal energy efficiency besides having no proper level of comfort for the inhabitants. In the present work, users' location, body temperature, their feedback, and data from the other energy monitoring sensors are processed to minimize the energy consumption based on the current status of the system and to maximize the level of comfort.