Presentation + Paper
12 April 2021 Asynchronous stochastic computing (ASC), asynchronous stream processing (ASP), and asynchronous impulse radio (AIR) for energy-harvested ubiquitous sensing at the edge
Author Affiliations +
Abstract
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.
Conference Presentation
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mircea R. Stan "Asynchronous stochastic computing (ASC), asynchronous stream processing (ASP), and asynchronous impulse radio (AIR) for energy-harvested ubiquitous sensing at the edge", Proc. SPIE 11722, Energy Harvesting and Storage: Materials, Devices, and Applications XI, 117220Q (12 April 2021); https://doi.org/10.1117/12.2585860
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