scholarly journals Design of Minimizing Expected Energy of Multisource Wireless Cooperative Network Based on Multiobjective Optimization

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Shusheng Wang
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Multiobjective Optimization ◽  
Power Consumption ◽  
Data Transmission ◽  
Average Power ◽  
Optimal Solution ◽  
Network Data ◽  
Cooperative Network ◽  
Average Power Consumption

In order to solve the problems of high average power consumption, low average throughput, high average energy consumption per unit of data, and short network life cycle in traditional multisource wireless cooperation methods, this paper proposes a multisource wireless cooperative network design method based on multiple goals. We analyze the characteristics of heterogeneous deployment of multisource wireless cooperative networks and the energy consumption of nodes and control the energy consumption of network data transmission through distributed opportunistic transmission scheduling methods according to the analysis results. We use the optimal strategy of minimizing expected energy consumption, transform the problem of data transmission energy consumption, establish a mathematical model, and obtain the optimal solution for minimizing expected energy consumption. According to the optimal stop rule, the minimum expected energy consumption threshold is obtained, and then the optimal solution is obtained on the constraint set of the multiobjective optimization problem through the multiobjective optimization method, so as to achieve the goal of minimizing the expected energy of the network. Experimental results show that this method prolongs the network life cycle, reduces the average power consumption of network data transmission, and improves the average network throughput.

Energy Aware Better Implementation of Load Balancing in Cloud Computing

2020 ◽  
Vol 13 ◽  
Author(s):  
Alekhya Orugonda ◽  
V. Kiran Kumar
Keyword(s):  
Energy Consumption ◽  
Load Balancing ◽  
Power Consumption ◽  
Virtual Machines ◽  
Average Power ◽  
Power Saving ◽  
System Level ◽  
Energy Aware ◽  
Physical Machine ◽  
Average Power Consumption

Background: It is important to minimize bandwidth that improves battery life, system reliability and other environmental concerns and energy optimization.It also do everything within their power to reduce the amount of data that flows through their pipes.To increase resource exertion, task consolidation is an effective technique, greatly enabled by virtualization technologies, which facilitate the concurrent execution of several tasks and, in turn, reduce energy consumption. : MaxUtil, which aims to maximize resource exertion, and Energy Conscious Task Consolidation which explicitly takes into account both active and idle energy consumption. Method: In this paper an Energy Aware Cloud Load Balancing Technique (EACLBT) is proposed for the performance improvement in terms of energy and run time. It predicts load of host after VM allocation and if according to prediction host become overloaded than VM will be created on different host. So it minimize the number of migrations due to host overloading conditions. This proposed technique results in minimize bandwidth and energy utilization. Results: The result shows that the energy efficient method has been proposed for monitor energy exhaustion and support static and dynamic system level optimization.The EACLBT can reduce the number of power-on physical machine and average power consumption compare to other deploy algorithms with power saving.Besides minimization in bandwidth along with energy exertion, reduction in the number of executed instructions is also achieved. Conclusion: This paper comprehensively describes the EACLBT (Energy Aware Cloud Load Balancing Technique) to deploy the virtual machines for power saving purpose. The average power consumption is used as performance metrics and the result of PALB is used as baseline. The EACLBT can reduce the number of power-on physical machine and average power consumption compare to other deploy algorithms with power saving. It shown that on average an idle server consumes approximately 70% of the power consumed by the server running at the full CPU speed.The performance holds better for Common sub utterance elimination. So, we can say the proposed Energy Aware Cloud Load Balancing Technique (EACLBT) is effective in bandwidth minimization and reduction of energy exertion.

scholarly journals Improved Simulated Annealing Genetic Algorithm based Low power mapping for 3D NoC

2018 ◽  
Vol 232 ◽  
pp. 02022 ◽  
Author(s):  
Hanna He ◽  
Fang Fang ◽  
Wei Wang
Keyword(s):  
Genetic Algorithm ◽  
Simulated Annealing ◽  
Power Consumption ◽  
Average Power ◽  
Optimal Solution ◽  
Initial Population ◽  
Good Convergence ◽  
Average Power Consumption ◽  
Ip Cores ◽  
On Chip

Mapping of IP(Intellectual Property) cores onto NoC(Network-on-Chip) architectures is a key step in NoCbased designs. Energy is the key parameter to measure the designs. Therefore, we propose an Improved Simulated Annealing Genetic Alogrithm, abbreviated as ISAGA. The algorithm combines the parallelism of Genetic Algorithm(GA) and the local search ability of Simulated Annealing(SA). We improve the initial population selection of GA to get the lower power consumption mapping scheme. The experimental results show that compared with the GA, ISAGA has good convergence and can search the optimal solution quickly, which can effectively reduce the power consumption of the system. In the case of 124 IP cores, the average power consumption of the ISAGA is reduced by 32.0% compared with the GA.

scholarly journals A Novel Cross-Latch Shift Register Scheme for Low Power Applications

2020 ◽  
Vol 11 (1) ◽  
pp. 129
Author(s):  
Po-Yu Kuo ◽  
Ming-Hwa Sheu ◽  
Chang-Ming Tsai ◽  
Ming-Yan Tsai ◽  
Jin-Fa Lin
Keyword(s):  
Power Consumption ◽  
Supply Voltage ◽  
Electrical Power ◽  
Average Power ◽  
Leakage Power ◽  
Shift Register ◽  
Cmos Process ◽  
Average Power Consumption ◽  
Simulation Results ◽  
Layout Area

The conventional shift register consists of master and slave (MS) latches with each latch receiving the data from the previous stage. Therefore, the same data are stored in two latches separately. It leads to consuming more electrical power and occupying more layout area, which is not satisfactory to most circuit designers. To solve this issue, a novel cross-latch shift register (CLSR) scheme is proposed. It significantly reduced the number of transistors needed for a 256-bit shifter register by 48.33% as compared with the conventional MS latch design. To further verify its functions, this CLSR was implemented by using TSMC 40 nm CMOS process standard technology. The simulation results reveal that the proposed CLSR reduced the average power consumption by 36%, cut the leakage power by 60.53%, and eliminated layout area by 34.76% at a supply voltage of 0.9 V with an operating frequency of 250 MHz, as compared with the MS latch.

Designing of Low-Power High-Speed Noise Immune CNTFET 1-Trit Unbalanced Ternary Subtractor

2021 ◽  
Author(s):  
Yogesh Shrivastava ◽  
Tarun Kumar Gupta
Keyword(s):  
Power Consumption ◽  
High Speed ◽  
Noise Analysis ◽  
Average Power ◽  
Noise Margin ◽  
Average Power Consumption ◽  
Effect Transistor ◽  
Power Delay Product ◽  
Static Noise ◽  
Made In

Ternary logic has been demonstrated as a superior contrasting option to binary logic. This paper presents a ternary subtractor circuit in which the input signal is converted into binary. The proposed design is implemented using Carbon Nanotube Field Effect Transistor (CNTFET), a forefront innovation. A correlation has been made in the proposed design on parameters like Power-Delay Product (PDP), Energy Delay Product (EDP), average power consumption, delay and static noise margin. Every one of these parameters is obtained by simulating the circuits on the HSPICE simulator. The proposed design indicates an improvement of 60.14%, 59.34%, 74.98% and 84.28%, respectively, in power consumption, delay, PDP and EDP individually in correlation with recent designs. The increased carbon nanotubes least affect the proposed subtractor design. In noise analysis, the proposed design outperformed all the existing designs.

scholarly journals A CMOS-Thyristor Based Temperature Sensor with +0.37 °C/−0.32 °C Inaccuracy

Micromachines ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 124 ◽  
Author(s):  
Jing Li ◽  
Yuyu Lin ◽  
Siyuan Ye ◽  
Kejun Wu ◽  
Ning Ning ◽  
...  
Keyword(s):  
Power Consumption ◽  
Temperature Sensor ◽  
Current Source ◽  
Average Power ◽  
Bias Current ◽  
Cmos Process ◽  
Linear Temperature ◽  
Temperature Characteristics ◽  
Period Ratio ◽  
Average Power Consumption

This paper describes a voltage controlled oscillator (VCO) based temperature sensor. The VCOs are composed of complementary metal–oxide–semiconductor (CMOS) thyristor with the advantage of low power consumption. The period of the VCO is temperature dependent and is function of the transistors’ threshold voltage and bias current. To obtain linear temperature characteristics, this paper constructed the period ratio between two different-type VCOs. The period ratio is independent of the temperature characteristics from current source, which makes the bias current generator simplified. The temperature sensor was designed in 130 nm CMOS process and it occupies an active area of 0.06 mm2. Based on the post-layout simulation results, after a first-order fit, the sensor achieves an inaccuracy of +0.37/−0.32 °C from 0 °C to 80 °C, while the average power consumption of the sensor at room temperature is 156 nW.

Performance Comparison among Heat Pump Water Heaters Working with R32, R134a and the Mixture of R32/R134a

2012 ◽  
Vol 512-515 ◽  
pp. 1295-1298
Author(s):  
De Feng Ding ◽  
Shi Jie Liu ◽  
Chao Yu Zheng ◽  
Wen Sheng Yu ◽  
Wu Chen
Keyword(s):  
Power Consumption ◽  
Heat Pump ◽  
Average Power ◽  
Input Power ◽  
Performance Comparison ◽  
Coefficient Of Performance ◽  
Water Heater ◽  
Heat Pump Water Heater ◽  
Discharge Temperature ◽  
Average Power Consumption

A general air-source heat pump water heater originally designed to work with R134a was reconstructed as experimental rig for performance studies on systems using different refrigerants including R32, R134a and the mixture of R32/R134a which mass ratio is 1:5. Experimental results showed that the power consumption of the heat pump water heater charged individually with R32 would greatly exceed the system’s original pre-set maximum input power. When the leaving water temperature was increased from 18°C to 58°C, the average discharge temperature of the heat pump charged with R32/R134a mixture was 13.6% higher than that with R134a. The average power consumption of the heat pump with R134a was 253.5W less than that with R32/R134a mixture. However, the average COP (Coefficient of Performance) obtained by that with R32/R134a mixture was 0.83 higher than that with R134a.

scholarly journals Performance of AODV Protocol for H-MANETs

2019 ◽  
pp. 271-276
Author(s):  
Pallepati Vasavi ◽  
G Raja Ramesh
Keyword(s):  
Power Consumption ◽  
Performance Metrics ◽  
Fluid Dynamic ◽  
Average Power ◽  
Dynamic Environment ◽  
Initial Energy ◽  
Network Simulator ◽  
Average Delay ◽  
Average Power Consumption ◽  
New Research

As per need of recent applications, new research aspects related to scalability, heterogeneity, and power consumption have been arisen. These problems are supposed to be fixed for better utilization of MANETs. MANET nodes interact through multi-hop routing. AODV is a commonly used on-demand protocol for routing in MANETs. In the existing literature, AODV has been analyzed a number of times but heterogeneity of the nodes has not been addressed. Heterogeneity may be defined as diversity among the nodes in resources or capability. The environment is usually heterogeneous in case of constraint fluid dynamic environment of MANET. In this paper we are analyzing the routing performance as well as energy efficient behavior of AODV routing protocol in both homogeneous and heterogeneous MANETs (H-MANETs), using performance parameters like ratio of delivered packets, throughput, average delay, average power consumption, energy of alive nodes, etc. Heterogeneity has been introduced in terms of different initial energy for all the nodes, unlike the homogeneous scenario. The simulation work has been done using network simulator (NS-2). This work will be helpful to get insight of effects of heterogeneity on energy efficiency and other performance metrics of AODV.

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