MORAS: An energy-scalable system using adaptive voltage scaling

Chang, Kuang-Yi; Luo, Shien-Chun; Huang, Ching-Ji; Peng, Jia-Hung; Chu, Yuan-Hua

doi:10.1109/vlsi-dat.2018.8373243

Cited by 2 publications

(2 citation statements)

References 4 publications

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“…Reconfiguration can be done for various parameters of sensor node. Typically, voltage and MCU frequency scaling is widely applied in most of dynamic reconfigurable sensor nodes [26,27]. Along with Dynamic Voltage Scaling(DVS) and Dynamic Frequency Scaling(DFS), selective powering to the required hardware blocks and peripherals based on battery capacity is also useful and applied [28].…”

Section: Related Workmentioning

confidence: 99%

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

Patel¹,

Shah²

2019

IJITEE

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Wireless sensor network is widely used to monitor sparsely generated events through a centralized system. The coverage provided by the network to monitor region of interest vary and rely on the system components of sensor node. While monitoring events from cluster head or sink through sensor nodes located at a distant, it experiences increased communication cost due to prone errors which are proportional to losses due to distance and interferences. Biotelemetry application is reviewed for the derivation of the research problem which is worked upon in the present paper. The animals move around in their habitat performing various activities which are to be monitored. The sensing tags are mounted on the animals to study the behaviour of the animals. These animals roam around in their habitat generating variation in the interferences caused for communication. Due to wide variations, the inefficiency of the sensor node in communication results in draining battery rapidly and thereby life of sensor node. So in order to improve lifetime the optimization at the sensor node is very essential to keep network alive. The technique that performs optimization needs to be lightweight in terms of processing required as well as tuning of parameter which are required for model based optimization methods. In the paper, we proposed a technique which is lightweight and can dynamically optimize operating state. It is done by adaptively configuring communication parameters to patch losses and conserve energy to enhance Sensor node lifetime. The optimization technique proposed, does parameter tuning to minimize the communication cost in sensor node through efficient search method. The results are compared with traditionally employed technique with static setting and Online Greedy Optimization Algorithm. NI LabVIEW is used to do simulation of the model and for estimating the effect of parameter reconfiguration upon application of optimization techniques

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Section: Related Workmentioning

confidence: 99%

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

Patel¹,

Shah²

2019

IJITEE

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“…Internet of Things (IoT), mobile and medical application have urge the Very Large Scale Integrated circuites (VLSI) designer to build ultra-low power (ULP) circuits [1,2]. Since power consumption deceases quadratically with the drop of supply voltage, low-voltage technology is one of the important means to reduce the power consumption of digital circuits [3][4][5]. As power supply voltages are scaling down to near/sub-threshold, traditional power management faces new challenges [6,7].…”

Section: Introductionmentioning

confidence: 99%

A Fast-Transient All-Digital LDO with Adaptive Clock Technique

Jia

Qiao

et al. 2019

Electronics

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To get a better tradeoff between the transient performance and current efficiency of Digital Low-Dropout (DLDO) regulator, this paper proposes an all-digital Low-Dropout (LDO) regulator with adaptive clock technique. The sample clock is supplied by a proposed digital oscillator (DOSC) whose output frequency can be changed seamlessly. The frequency of sample clock and loop gain boost adaptively when the output voltage undershoot/overshoot is detected. Proposed DLDO integrates a ripple controller to eliminate steady-state supply ripple and reduce steady-state power. The proposed DLDO is simulated at Semiconductor Manufacturing International Corporation (SMIC) 55 nm with 5.03e-4 mm2 active area. The simulation results show that the operating voltage of proposed DLDO can be down to 0.5 V and the peak current efficiency is 99.99%. The measured voltage undershoot is 40 mV and transient response time is 500 ns with load step of 10 to 800 uA.

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MORAS: An energy-scalable system using adaptive voltage scaling

Cited by 2 publications

References 4 publications

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

A Lightweight Algorithm To Optimize Power Consumption in Sensor Node Through Parametric Tuning of Communication Interface

A Fast-Transient All-Digital LDO with Adaptive Clock Technique

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