Dynamic power-gating for leakage power reduction in FPGAs

Jahanirad, Hadi

doi:10.1631/fitee.2200084

Cited by 3 publications

(1 citation statement)

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“…The approach involves load capacitance reduction, the utilization of dual threshold voltages, and minimizing clock jumps. Jahanirad, H. [ 19 ] proposed an energy-efficient architecture for static random access memory (SRAM)-based FPGAs. The architecture defines each module with two modes: active and sleep.…”

Section: Introductionmentioning

confidence: 99%

Low-Power and Wireless Communication Research on Underground Displacement Three-Dimensional Monitoring System

Shentu,

Zhang,

et al. 2024

Sensors

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Underground displacement monitoring is a crucial means of preventing geological disasters. Compared to existing one-dimensional methods (measuring only horizontal or vertical displacement), the underground displacement three-dimensional measurement method and monitoring system proposed by the author’s research team can more accurately reflect the internal movement of rock and soil mass, thereby improving the timeliness and accuracy of geological disaster prediction. To ensure the reliability and long-term operation of the underground displacement three-dimensional monitoring system, this article further introduces low-power design theory and Bluetooth wireless transmission technology into the system. By optimizing the power consumption of each sensing unit, the current during the sleep period of a single sensing unit is reduced to only 0.09 mA. Dynamic power management technology is employed to minimize power consumption during each detection cycle. By using Bluetooth wireless transmission technology, the original wired communication of the system is upgraded to a relay-type wireless network communication, effectively solving the problem of the entire sensing array’s operation being affected when a single sensing unit is damaged. These optimized designs not only maintain monitoring accuracy (horizontal and vertical displacement errors not exceeding 1 mm) but also enable the monitoring system to operate stably for an extended period under harsh weather conditions.

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Section: Introductionmentioning

confidence: 99%