Body Bias Control for Renewable Energy Source with a High Inner Resistance

Keita Azegami, Hayate Okuhara, Hideharu Amano

Research output: Contribution to journalArticlepeer-review


Sensor nodes used in Internet of Things (IoT) are required to work an extremely long time without replacing the battery. Natural renewable energy such as a solar battery is a hopeful candidate for such nodes. Here, a power model for operating an Silicon on Insulator (SOI) device with a solar battery including a large inner resistance is proposed, and applied to a micro-controller V850E-star and an accelerator CMA-SOTB2. Unlike the ideal case, the maximum operational frequency was achieved with reverse biasing by suppressing the leakage current which decreases the supply voltage. Under the room light with a large inner resistance, the strong reverse bias is effective, while a relatively weak reverse bias is advantageous under the bright light. The proposed model is appeared to be useful to estimate the appropriate body bias voltage both for V850E-star and CMA-SOTB2. In the V850E-star, the estimated operational frequencies were different from the real chip, while they were relatively matched when CMA-SOTB2 was used under the low illuminance.

Original languageEnglish
Article number8340114
Pages (from-to)605-612
Number of pages8
JournalIEEE Transactions on Multi-Scale Computing Systems
Issue number4
Publication statusPublished - 2018 Oct 1


  • Low power computing
  • body biasing
  • inner resistance
  • silicon on thin box (SOTB)
  • solar battery

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Hardware and Architecture


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