Self-Powered IOT System for Edge Inference

被引：0
|
作者：
Kurian, Dileep [1 ]
Karnik, Tanay [2 ]
Soni, Saksham [1 ]
Chhabra, Saransh [1 ]
Kim, Suhwan [2 ]
Timbadiya, Jaykant [1 ]
Gupta, Ankit [1 ]
Ravichandran, Krishnan [2 ]
Bhartiya, Mukesh [1 ]
Nicoara, Angela [3 ]
机构：
[1] Intel Technol India, Bengaluru, India
[2] Intel Corp USA, Santa Clara, CA USA
[3] HSLU Switzerland, Luzern, Switzerland
来源：
PROCEEDINGS OF THE TWENTYFIRST INTERNATIONAL SYMPOSIUM ON QUALITY ELECTRONIC DESIGN (ISQED 2020) | 2020年
关键词：
IoT; energy efficiency; CNN inference; edge computing;
D O I：
10.1109/isqed48828.2020.9137027
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
We present an end to end IoT system that works off harvested energy from multiple sources. It includes X86s compute, security and image inference at the edge. The mote is self-powered by an energy harvesting power management IC (EHPMIC). The system connects wirelessly to a gateway that connects to the cloud. Sustainable energy-neutral operation is achieved by solar and wind energy harvesting. 14000 lines of software stack was implemented, and the system was demonstrated to consume only 0.2mW idle and 24mW peak power. Measured minimum energy point was 6.2pJ/cycle at 0.5V/100MHz running Dhrystone benchmarks EHPMIC delivers up to 120mW with a peak efficiency of 81.7% and only 120 mu W control power overhead.
引用
收藏
页码：302 / 305
页数：4
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