scholarly journals TEI-DTA: Optimizing a Vehicular Sensor Network Operating with Ultra-Low Power System-on-Chips

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1789
Author(s):  
Seung-Yeong Lee ◽  
Jae-Hyoung Lee ◽  
Jiyoung Lee ◽  
Woojoo Lee
Keyword(s):  
Sensor Networks ◽  
Power System ◽  
Low Power ◽  
Sensor Network ◽  
Low Voltage ◽  
Embedded Devices ◽  
Ultra Low Power ◽  
Power Sources ◽  
Low Power System ◽  
Iot Devices

In the era of the Internet of Things (IoT), the interest and demand for embedded systems have been explosively increasing. In particular, vehicular sensor networks are one of the fields where IoT-oriented embedded devices (also known as IoT devices) are being actively used. These IoT devices are widely deployed in and out of the vehicle to check vehicle conditions, prevent accidents, and support autonomous driving, forming a vehicular sensor network. In particular, such sensor networks mainly consist of third-party devices that operate independently of the vehicle and run on their own batteries. After all, like all battery-powered embedded devices, the IoT devices for the vehicular sensor network also suffer from limited power sources, and thus research on how to design/operate them energy-efficiently is drawing attention from both academia and industry. This paper notes that the vehicular sensor network may be the best application for ultra-low power system on-chips (ULP SoCs). The ULP SoCs are mainly designed based on ultra-low voltage operating (ULV) circuits, and this paper aims to realize the energy-optimized driving of the network by applying state of the art (SoA) low-power techniques exploiting the unique characteristics of ULV circuits to the IoT devices in the vehicular sensor network. To this end, this paper proposes an optimal task assignment algorithm that can achieve the best energy-efficient drive of the target network by fully utilizing the SoA low power techniques for ULV circuits. Along with a detailed description of the proposed algorithm, this paper demonstrates the effectiveness of the proposed method by providing an in-depth evaluation process and experimental results for the proposed algorithm.

scholarly journals An Ultra Low Power System Architecture for Sensor Network Applications

2005 ◽  
Vol 33 (2) ◽  
pp. 208-219 ◽  
Author(s):  
Mark Hempstead ◽  
Nikhil Tripathi ◽  
Patrick Mauro ◽  
Gu-Yeon Wei ◽  
David Brooks
Keyword(s):  
Power System ◽  
Low Power ◽  
Sensor Network ◽  
System Architecture ◽  
Ultra Low Power ◽  
Network Applications ◽  
Low Power System

An Ultra Low Power System Architecture for Sensor Network Applications

2005 ◽  
Author(s):  
M. Hempstead ◽  
N. Tripathi ◽  
P. Mauro ◽  
Gu-Yeon Wei ◽  
D. Brooks
Keyword(s):  
Power System ◽  
Low Power ◽  
Sensor Network ◽  
System Architecture ◽  
Ultra Low Power ◽  
Network Applications ◽  
Low Power System

A Low-Power System Design of RFID Sensor Networks

2014 ◽  
Author(s):  
Zhiyong Luo ◽  
Rui Wang ◽  
Ke Chen ◽  
Yu Pang ◽  
Sheng Yang
Keyword(s):  
Sensor Networks ◽  
Power System ◽  
Low Power ◽  
System Design ◽  
Low Power System

TIP: A Temperature Effect Inversion-Aware Ultra-Low Power System-on-Chip Platform

2019 ◽  
Author(s):  
Kyuseung Han ◽  
Sukho Lee ◽  
Jae-Jin Lee ◽  
Woojoo Lee ◽  
Massoud Pedram
Keyword(s):  
Power System ◽  
Low Power ◽  
Temperature Effect ◽  
System On Chip ◽  
Ultra Low Power ◽  
Low Power System ◽  
On Chip

An Ultra-Low-Power, Self-Start-Up DC-DC Boost Converter for Self-Powered IoT Node

2021 ◽  
pp. 2250026
Author(s):  
Krishna Reddy Komatla ◽  
Sreehari Rao Patri
Keyword(s):  
Charge Transfer ◽  
Low Power ◽  
Output Voltage ◽  
Low Voltage ◽  
Boost Converter ◽  
Switching Loss ◽  
Ultra Low Power ◽  
Start Up ◽  
Self Powered ◽  
Iot Devices

This paper presents an ultra-low-power boost converter for self-powered IoT applications to self-start and power-up IoT devices from scratch without any requirement of an external start-up. The proposed converter and its clock generator operate in sub-threshold utilizing bulk-driven technique for low-power operation. The bulk-driven technique improves charge transfer switches for effective switching using auxiliary transistors. This approach enables a MOSFET to operate on supplies lower than its threshold voltage with a significant reduction in the reverse charge transfer and switching loss while increasing the voltage conversion efficiency and output voltage. To validate the performance of the proposed architecture, the post-layout simulation is carried out in standard CMOS 0.18[Formula: see text][Formula: see text]m technology. Under low-voltage supply of 0.4[Formula: see text]V, the simulated transient output voltage takes 110[Formula: see text][Formula: see text]s to reach 1.92[Formula: see text]V with 0.15[Formula: see text] output voltage ripple, while consuming the power of 772[Formula: see text]nW.

A wirelessly ultra-low-power system for equilibrium measurements in total hip replacement surgery

2012 ◽  
Author(s):  
Zhihua Wang ◽  
Hong Chen ◽  
Ming Liu ◽  
Hanjun Jiang ◽  
Tianjia Sun ◽  
...  
Keyword(s):  
Power System ◽  
Low Power ◽  
Total Hip Replacement ◽  
Hip Replacement ◽  
Ultra Low Power ◽  
Total Hip ◽  
Replacement Surgery ◽  
Hip Replacement Surgery ◽  
Low Power System

scholarly journals Microwatt power management: challenges of on-chip energy harvesting

2020 ◽  
Author(s):  
Stefan Schmickl ◽  
Thomas Faseth ◽  
Harald Pretl
Keyword(s):  
Energy Harvesting ◽  
Low Power ◽  
Power Management ◽  
Rf Power ◽  
Ultra Low Power ◽  
Power Sources ◽  
Low Dropout Regulator ◽  
Iot Devices ◽  
On Chip ◽  
Power Management Unit

AbstractIoT devices become more and more popular which implies a growing interest in easily maintainable and battery-independent power sources, as wires and batteries are unpractical in application scenarios where billions of devices get deployed. To keep the costs low and to achieve the smallest possible form factor, SoC implementations with integrated energy harvesting and power management units are a welcome innovation.On-chip energy harvesting solutions are typically only capable of supplying power in the order of microwatts. A significant design challenge exists for the functional blocks of the IoT-SoC as well as for the power management unit itself as the harvested voltage has to be converted to a higher and more usable voltage. Simultaneously, the power management blocks have to be as efficient as possible with the lowest possible quiescent currents.In this paper, we provide a look at on-chip microwatt power management. Starting with the energy-harvesting from RF power or light, we then show state-of-the-art implementations of ultra-low power voltage references and ultra-low power low-dropout regulator (LDO) designs.

A 64-channel ultra-low power system-on-chip for local field and action potentials recording

2015 ◽  
Author(s):  
Alberto Rodríguez-Pérez ◽  
Manuel Delgado-Restituto ◽  
Angela Darie ◽  
Cristina Soto-Sánchez ◽  
Eduardo Fernández-Jover ◽  
...  
Keyword(s):  
Power System ◽  
Low Power ◽  
Local Field ◽  
Action Potentials ◽  
System On Chip ◽  
Ultra Low Power ◽  
Low Power System ◽  
On Chip
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