IEEE Transactions on Multi-Scale Computing Systems · 2018 · 13 citations · 6 references
EngineeringComputer EngineeringComputer SystemsEmbedded SystemsInternet Of ThingsLow-power DesignEnergy-efficient Embedded SystemsIot Embedded SystemsIot SensorsLow-power Digital Circuit DesignPower ManagementPower-aware DesignEmbedded Power ManagementLow-power Embedded SystemsLow-power Sensor SystemsLow-power System DesignNonvolatile MemoryPower ConsumptionPower Consumption OptimizationPower Management Architecture
The low-power multi-sensor system with power management and nonvolatile memory access control for IoT applications are proposed, which achieves almost zero standby power at the no-operation modes. A power management scheme with activity localization can reduce the number of transitions between power-on and power-off modes with rescheduling and bundling task procedures. In addition, autonomously standby mode transition control selects the optimum standby mode of microcontrollers, reducing total power consumption. We demonstrate with evaluation board as a use case of IoT applications, observing 91 percent power reductions by adopting task scheduling and autonomously standby mode transition control combination. Furthermore, we propose a new nonvolatile memory access control technology, and estimate the possibility for future low-power effect.
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Normally-off MCU architecture for low-power sensor node
Masanori Hayashikoshi, Yohei Sato, Hiroshi Ueki et al. · 2014 · 20 citations