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.
2016 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS)