Asynchronous Stochastic Computing (ASC), Asynchronous Stream Processing (ASP) and Asynchronous Impulse Radio (AIR) for energy-harvested ubiquitous sensing at the Edge

摘要

There are two complementary requirements for implementing energy-harvested applications: the energy harvesting solution and the ultra-low power (ULP) requirements for the circuits. We address the ULP requirements by combining logically consistent design methodologies based on asynchronous streams to provide the essential blocks for a miniaturized ULP "mote." First, we use an asynchronous stream data representation enabled by the use of continuous time Sigma-Delta modulators as analog-to-stream converters of sensor inputs. Second, we use Asynchronous Stream Processing (ASP) for ULP algorithms equivalent to DSP algorithms. Third we use Asynchronous Stochastic Computing (ASC) for ULP computations, including Machine applications such as Random Forest. Finally, we use Asynchronous Impulse Radio (AIR) UWB as a direct stream-to-radio mapping for compact wireless communication closes the loop for a ULP IoT mote from sensor input to wireless link.