An RC4-based hash function for ultra-low power devices

2010 ◽  
Author(s):  
Qian Yu ◽  
Chang N. Zhang ◽  
Xun Huang
Keyword(s):  
Low Power ◽  
Hash Function ◽  
Power Devices ◽  
Ultra Low Power ◽  
Ultra Low Power Devices

scholarly journals Efficient Scalable Digit-Serial Inverter Over GF( $2^{m}$ ) for Ultra-Low Power Devices

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 9758-9763 ◽  
Author(s):  
Atef Ibrahim ◽  
Turki F. Al-Somani ◽  
Fayez Gebali
Keyword(s):  
Low Power ◽  
Power Devices ◽  
Ultra Low Power ◽  
Ultra Low Power Devices

scholarly journals Energy vs. Reliability Trade-offs Exploration in Biomedical Ultra-Low Power Devices

2016 ◽  
Author(s):  
Loris Duch ◽  
P. Garcia del Valle ◽  
Shrikanth Ganapathy ◽  
Andreas Burg ◽  
David Atienza
Keyword(s):  
Low Power ◽  
Power Devices ◽  
Ultra Low Power ◽  
Trade Offs ◽  
Ultra Low Power Devices

Ultra-Low Power Devices by Taking Advantages of Atom Switches with Polymer Solid-electrolyte

2012 ◽  
Author(s):  
H. Hada ◽  
T. Sakamoto ◽  
M. Tada ◽  
N. Banno ◽  
M. Miyamura ◽  
...  
Keyword(s):  
Low Power ◽  
Solid Electrolyte ◽  
Power Devices ◽  
Ultra Low Power ◽  
Ultra Low Power Devices

scholarly journals Wireless powered wake-up receiver for ultra-low-power devices

2018 ◽  
Author(s):  
Soheil Rostami ◽  
Kari Heiska ◽  
Oleksandr Puchko ◽  
Kari Leppanen ◽  
Mikko Valkama
Keyword(s):  
Low Power ◽  
Power Devices ◽  
Ultra Low Power ◽  
Ultra Low Power Devices

Analysis of Higher Stable 9T SRAM Cell for Ultra Low Power Devices

2021 ◽  
pp. 517-525
Author(s):  
Harekrishna Kumar ◽  
V. K. Tomar
Keyword(s):  
Low Power ◽  
Power Devices ◽  
Ultra Low Power ◽  
Sram Cell ◽  
Ultra Low Power Devices

scholarly journals Possibilities and Challenges of Radio Frequency Energy Harvesting in Dar es Salaam, Tanzania

2020 ◽  
Vol 39 (2) ◽  
pp. 92-103
Author(s):  
Fredrick Isingo ◽  
Prosper Mafole ◽  
Abdi Abdalla
Keyword(s):  
Radio Frequency ◽  
Dar Es Salaam ◽  
Design System ◽  
Power Devices ◽  
Ultra Low Power ◽  
Radio Frequency Energy ◽  
Rf Signals ◽  
Simulation Results ◽  
Ultra Low Power Devices ◽  
The Internet Of Things

This paper presents investigation on the possibilities and challenges of harvesting ambient Radio Frequency Energy (RFE) at Dar es Salaam region in Tanzania. The Radio Frequency (RF) signals were measured using a Rohde and Schwarz FSC 3 spectrum analyzer observing available frequencies with their respective power. Among several RF signals received, the most powerful signals observed were; 800 MHz, 950 MHz, 2100 MHz and 2400 MHz, having average signal strengths of about -30.29 dBm, -35.94 dBm, -42.90 dBm and -30.42 dBm respectively. The power possessed within these frequencies were suitable to be harvested due to their signal strengths, an overall power average of -34.89dBm was obtained and a multi narrowband harvester was designed and simulated using real-time values on Keysight’s Advanced Design System (ADS) 2019. The simulation results confirm a promising possibility of harvesting RF energy to power ultra-low-power devices in the Internet of Things (IoT) and beyond.

Ultra Low Power Bioelectronics

2009 ◽  
Author(s):  
Rahul Sarpeshkar
Keyword(s):  
Low Power ◽  
Ultra Low Power
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