Amine Bermak
Hamad Bin Khalifa University, Qatar
Posters & Accepted Abstracts: J Nanomed Nanotechnol
Autonomous microsystems refers to smart electronic systems that are able to sense, process and transmit useful information from the environment while being completely autonomous by harvesting readily available solar, thermal or kinetic ambient energy. Deployed in IoT applications, these smart devices are able to monitor water leakage in a water pipe, blood pressure in human body, temperature of frozen food items, but also humidity, air and water quality in intelligent buildings and smart cities. The design of autonomous microsystems must take into consideration a number of challenging IoT constraints such as low cost, self-calibration to minimize human intervention and self-power generation to replenish depleted energy resources. Silicon based technology is the only alternative solution offering single-chip solutions featuring the best trade-off in terms of cost/performance and enabling large scale integration and mass volume production leading to large scale deployment of autonomous microsystem devices in various emerging IoT applications with minimal human intervention. This talk will present enabling technologies for IoT sensing addressing key issues related to power consumption, energy harvesting and calibration of autonomous microsystems. Three case studies will be presented, namely: (1) Smart vision systems with energy harvesting capabilities, (2) Batteryless temperature sensing for passive RFID applications and (3) Olfactory sensors with selfcalibration capability. The talk will cover state-of-the art technological developments in this area and outline existing challenges as well as emerging new opportunities for research and innovation in this rapidly growing field. This talk will discuss whether autonomous microsystems are becoming a reality or are just another engineering dream idea.