The power consumption cost of data encryption in smartphones

2015 ◽  
Author(s):  
Mohammad Masoud ◽  
Ismael Jannoud ◽  
Amal Ahmad ◽  
Haithm Al-Shobaky
Keyword(s):  
Power Consumption ◽  
Data Encryption ◽  
Consumption Cost

scholarly journals Lightweight Cryptography for Network-on-Chip Data Encryption

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Riadh Ayachi ◽  
Ayoub Mhaouch ◽  
Abdessalem Ben Abdelali
Keyword(s):  
Power Consumption ◽  
High Speed ◽  
Network Performance ◽  
High Reliability ◽  
Data Encryption ◽  
Network On Chip ◽  
Security Problem ◽  
Finite State ◽  
On Chip ◽  
Main Component

System-on-chip (SoC) is the main processor for most recent applications such as the Internet of things (IoT). SoCs are composed of multiple blocks that communicate with each other through an integrated router. Data routing from a block to another poses many challenges. The network-on-chip (NoC) was used for the transmission of data from a source to a destination with high reliability, high speed, low power consumption, and low hardware occupation. An NoC is composed of a router, network links (NL), and network interface (NI). The main component of the NoC, the NI, is composed of an input/output FIFO, a finite state machine (FSM), pack, and depack modules. Data transmission from a block to another poses a security problem such as secret information extraction. In this paper, we proposed a data encryption framework for NoC based on a light encryption device (LED) algorithm. The main advantages of the proposed algorithm are to reduce the implementation area and to achieve high speed while reducing the power consumption. The proposed encryption framework was simulated Verilog/VHDL on the Xilinx ISE and implemented on the Xilinx Virtex 5 XC5VFX200T. The obtained results have shown that the proposed framework has a smaller area and higher speed compared to existing works. The proposed algorithm has reduced the NI implementation area and enhanced the network performance in terms of speed and security.

scholarly journals CCD Controllers

1995 ◽  
Vol 167 ◽  
pp. 49-56
Author(s):  
Robert W. Leach
Keyword(s):  
Power Consumption ◽  
San Diego ◽  
Computer Interface ◽  
Next Generation ◽  
System Architectures ◽  
Consumption Cost ◽  
Video Processor ◽  
Readout Noise

The requirements of current and next generation CCD controllers in the areas of CCD device and system architectures, readout noise, number and speed of readouts are reviewed together with such operational requirements as system flexibility, power consumption, cost and weight. The basic components of a CCD controller are described, including the timing sequencer, clock drivers, video processor and computer interface. The capabilities and implementation of the CCD controller developed at San Diego State are reviewed. An upgraded controller is described to overcome limitations in the area of readout speed and efficient support of multiple readout capability.

scholarly journals A Portable Embedded Web Controller Based on LAMP for E-Experiment

2014 ◽  
Vol 18 (1) ◽  
pp. 78-82
Author(s):  
Qiang Guo ◽  
◽  
Yaping Dai ◽  
Qunjie Zou
Keyword(s):  
Remote Control ◽  
Power Consumption ◽  
High Power ◽  
Web Pages ◽  
Robot Arm ◽  
Experiment System ◽  
Network Servers ◽  
Consumption Cost ◽  
Embedded Web ◽  
High Power Consumption

In E-experiments, the network servers often used to manage experimental plants centrally require high power consumption. In order to reduce such power consumption, cost and size, this paper presents a portable embedded web controller (PEWC) combining embedded technology with Linux + Apache + MySQL + PHP (LAMP), which is the solution stack most widely used globally in Web development. Instead of using servers, the PEWC is used to build a distributed E-experiment system that enables users to do remote control through web pages online. Experimental results show that this system successfully controls robot-arm systems remotely and reduces power consumption by 99%, cost by 90% and size by 95%.

scholarly journals A Cost-Effective Electric Vehicle Intelligent Charge Scheduling Method for Commercial Smart Parking Lots Using a Simplified Convex Relaxation Technique

Sensors ◽  
2020 ◽  
Vol 20 (17) ◽  
pp. 4842
Author(s):  
Muhammad Jawad ◽  
Muhammad Bilal Qureshi ◽  
Sahibzada Muhammad Ali ◽  
Noman Shabbir ◽  
Muhammad Usman Shahid Khan ◽  
...  
Keyword(s):  
Linear Programming ◽  
Power Consumption ◽  
Real Time ◽  
Convex Relaxation ◽  
Cost Effective ◽  
Relaxation Technique ◽  
Charging Rate ◽  
Parking Lot ◽  
Consumption Cost ◽  
Smart Parking

Deployment of efficient and cost-effective parking lots is a known bottleneck for the electric vehicles (EVs) sector. A comprehensive solution incorporating the requirements of all key stakeholders is required. Taking up the challenge, we propose a real-time EV smart parking lot model to attain the following objectives: (a) maximize the smart parking lot revenue by accommodating maximum number of EVs and (b) minimize the cost of power consumption by participating in a demand response (DR) program offered by the utility since it is a tool to answer and handle the electric power usage requirements for charging the EV in the smart parking lot. With a view to achieving these objectives, a linear programming-based binary/cyclic (0/1) optimization technique is developed for the EV charge scheduling process. It is difficult to solve the problems of binary optimization in real-time given that the complexity of the problem increases with the increase in number of EV. We deploy a simplified convex relaxation technique integrated with the linear programming solution to overcome this problem. The algorithm achieves: minimum power consumption cost of the EV smart parking lot; efficient utilization of available power; maximization of the number of the EV to be charged; and minimum impact on the EV battery lifecycle. DR participation provide benefits by offering time-based and incentive-based hourly intelligent charging schedules for the EV. A thorough comparison is drawn with existing variable charging rate-based techniques in order to demonstrate the comparative validity of our proposed technique. The simulation results show that even under no DR event, the proposed scheme results in 2.9% decrease in overall power consumption cost for a 500 EV scenario when compared to variable charging rate method. Moreover, in similar conditions, such as no DR event and for 500 EV arrived per day, there is a 2.8% increase in number of EV charged per day, 3.2% improvement in the average state-of-charge (SoC) of the EV, 12.47% reduction in the average time intervals required to achieve final SoC.

scholarly journals Speed and Power Consumption Comparison between DES and AES Algorithm in Arduino

2019 ◽  
Vol 6 (1) ◽  
pp. 45-53 ◽  
Author(s):  
Arcelina Sukiatmodjo ◽  
YB Dwi Setianto
Keyword(s):  
Power Consumption ◽  
Data Encryption ◽  
Advanced Encryption Standard ◽  
Average Difference ◽  
Long Distance ◽  
Data Encryption Standard ◽  
Aes Algorithm ◽  
Significant Difference

Telemedicine is commonly used to check or diagnose patients from a long distance. Its application is often combined with sensors as needed, but for delivery, a cryptography algorithm is needed so the data sent safely, illegible, and can not be changed by unauthorized people. Besides that, the algorithm must be light, fast and use less power. In this study, a comparison of the Data Encryption Standard (DES) and Advanced Encryption Standard (AES) algorithms will be implemented in the encryption module. Data from the sensor encrypted and sent to the server. The time and power consumption by DES will be compared with AES. From this research, we can conclude that the encryption time of AES is faster than DES. The average difference speed is 33413 microseconds. Then the power consumption by AES and DES does not have any significant difference, and the addition of sensors causes additional power as well.

Multi-objective network planning optimization algorithm: human exposure, power consumption, cost, and capacity

2014 ◽  
Vol 21 (3) ◽  
pp. 841-857 ◽  
Author(s):  
Ning Liu ◽  
David Plets ◽  
Sotirios K. Goudos ◽  
Luc Martens ◽  
Wout Joseph
Keyword(s):  
Power Consumption ◽  
Optimization Algorithm ◽  
Human Exposure ◽  
Network Planning ◽  
Multi Objective ◽  
Planning Optimization ◽  
Consumption Cost

Adaptive VM Management with Two Phase Power Consumption Cost Models in Cloud Datacenter

2016 ◽  
Vol 21 (5) ◽  
pp. 793-805 ◽  
Author(s):  
Dong-Ki Kang ◽  
Fawaz Al-Hazemi ◽  
Seong-Hwan Kim ◽  
Min Chen ◽  
Limei Peng ◽  
...  
Keyword(s):  
Power Consumption ◽  
Cost Models ◽  
Two Phase ◽  
Consumption Cost ◽  
Cloud Datacenter

Power Consumption Cost Optimization Using Solar Photovoltaic Systems for Data Centers

2018 ◽  
Author(s):  
Alireza Eshraghi ◽  
Ashkan Sadeghi-Mobarakeh ◽  
Ehsan Reihani ◽  
Mahdi Motalleb ◽  
S.M. Ali Mousavi
Keyword(s):  
Power Consumption ◽  
Data Centers ◽  
Cost Optimization ◽  
Photovoltaic Systems ◽  
Solar Photovoltaic ◽  
Consumption Cost
Sign in / Sign up

Export Citation Format

Share Document