Making the Internet-of-Things a reality: From smart models, sensing and actuation to energy-efficient architectures

Advances in the physical sciences and engineering enable the development of internet-of-things (IoT) to understand, interface / interact and engineer physical world (systems). However, the deployment of multitude of wireless sensors and agents spanning many application domains (e.g., environmental, healthcare, smart interconnected vehicles and trucks, smart buildings) leads not only to tremendous requirements for communicating massive amounts of multiscale heterogeneous data, but also calls for developing efficient strategies for mathematical modeling of the sensed data while overcoming the energy wall. To address these outstanding challenges, out-of-the-box approaches need to be explored. In this tutorial paper, we discuss these outstanding problems and describe a few far-reaching design methodologies that achieve the most sought after features in autonomous IoT, viz. intelligent mining, smart trustworthy sensing, closed-loop (networked) control, and energy efficiency. Internet-of-things, autonomy, compact yet accurate models, network control, networks-on-chip, manycore.