dc.contributor.author | Deng, J. | |
dc.contributor.author | Nagel, J. | |
dc.contributor.author | Zahnd, L. | |
dc.contributor.author | Pons, M. | |
dc.contributor.author | Ruffieux, D. | |
dc.contributor.author | Arm, C. | |
dc.contributor.author | Persechini, P. | |
dc.contributor.author | Emery, S. | |
dc.date.accessioned | 2021-12-09T14:03:28Z | |
dc.date.available | 2021-12-09T14:03:28Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | 2019 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), pp. 1-4 | |
dc.identifier.uri | https://yoda.csem.ch/handle/20.500.12839/340 | |
dc.description.abstract | We describe a SoC achieving zero-net-energy operation by using energy harvesting and sub-threshold design. It consists of a microcontroller for data acquisition, data processing, and communication and an energy harvester unit enabling energy-autonomous operation. The microcontroller built with latch-based design achieves robust operation in a wide frequency range from 5 kHz to 40 MHz with a minimum energy point of 2.9 pJ/cycle @ 0.375V and 21 MHz. With this SoC, the battery lifetime is extended indefinitely thanks to the energy harvesting unit, which is capable to handle output power range from sub-μW to 4.32 mW with peak conversion efficiency of 65%. The tight integration of MCU and harvester enables the development of customized firmware algorithms for energy optimized operation with very diverse energy sources. | |
dc.subject | Energy-Autonomous MCU;Energy-Harvester;Sub-threshold Voltage;Integrated DCDC;Adaptive Dynamic Voltage Frequency Scaling (ADVFS) | |
dc.title | Energy-Autonomous MCU Operating in sub-VT Regime with Tightly-Integrated Energy-Harvester : A SoC for IoT smart nodes containing a MCU with minimum-energy point of 2.9pJ/cycle and a harvester with output power range from sub-µW to 4.32mW | |
dc.type | Proceedings Article | |
dc.type.csemdivisions | Div-M | |
dc.type.csemresearchareas | IoT & Vision | |
dc.type.csemresearchareas | Energy Harvesting | |
dc.type.csemresearchareas | ASICs for the Edge | |
dc.identifier.doi | https://doi.org/10.1109/ISLPED.2019.8824829 | |