Search results for "Networking & Telecommunications"

showing 10 items of 962 documents

Efficient techniques for energy saving in data center networks

2018

Data centers are constructed with a huge number of network devices to support the expanding cloud based services. These devices are used to achieve the highest performance in case of full utilization of the network. However, the peak capacity of the network is rarely reached. Consequently, many devices are set into idle state and cause a huge energy waste leading to a non-proportionality between the network load and the energy consumed. In this paper, we propose a new approach to improve the efficiency of data centers in terms of energy consumption. Our approach exploits the correlation in time of the inter-node communication traffic and some topological features to maximize energy saving w…

Average path lengthNetwork topologyComputer Networks and Communicationsbusiness.industryComputer scienceScalability020206 networking & telecommunicationsCloud computingData center network02 engineering and technologyEnergy consumptionData center network Network topology Average path length Energy consumption ScalabilityNetwork topologyAverage path lengthNetworking hardware020202 computer hardware & architectureEnergy consumptionScalability0202 electrical engineering electronic engineering information engineering[INFO]Computer Science [cs]Data centerbusinessEnergy (signal processing)Computer networkComputer Communications
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Low Latency Ambient Backscatter Communications with Deep Q-Learning for Beyond 5G Applications

2020

Low latency is a critical requirement of beyond 5G services. Previously, the aspect of latency has been extensively analyzed in conventional and modern wireless networks. With the rapidly growing research interest in wireless-powered ambient backscatter communications, it has become ever more important to meet the delay constraints, while maximizing the achievable data rate. Therefore, to address the issue of latency in backscatter networks, this paper provides a deep Q-learning based framework for delay constrained ambient backscatter networks. To do so, a Q-learning model for ambient backscatter scenario has been developed. In addition, an algorithm has been proposed that employ deep neur…

BackscatterWireless networkComputer science05 social sciencesReal-time computing0202 electrical engineering electronic engineering information engineering0507 social and economic geographyQ-learning020206 networking & telecommunicationsNetwork performance02 engineering and technology050703 geography5G2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring)
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Constrained consistency enforcement in AHP

2020

Abstract Decision-making in the presence of intangible elements must be based on a robust, but subtle, balance between expert know-how and judgment consistency when eliciting that know-how. This balance is frequently achieved as a trade-off reached after a feedback process softens the tension frequently found between one force steadily pulling towards (full) consistency, and another force driven by expert feeling and opinion. The linearization method, developed by the authors in the framework of the analytic hierarchy process, is a pull-towards-consistency mechanism that shows the path from an inconsistent body of judgment elicited from an expert towards consistency, by suggesting optimal c…

Balance (metaphysics)0209 industrial biotechnologyExpert judgmentConsensusOperations researchRiesz representation theoremProcess (engineering)Computer scienceAHPApplied MathematicsAnalytic hierarchy process020206 networking & telecommunications02 engineering and technologyComputational Mathematics020901 industrial engineering & automationConsistency (negotiation)LinearizationSettore ING-IND/17 - Impianti Industriali MeccaniciPath (graph theory)0202 electrical engineering electronic engineering information engineeringConsistencyEnforcementMATEMATICA APLICADADecision-making
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Multi-Resource Management for Multi-Tier Space Information Networks: A Cooperative Game

2019

With the drastic increase of space information network (SIN) traffic and the diversity of network traffic types, the optimal allocation of the scarce network resources is of great significance for optimizing the SIN system capability. In this paper, we propose a multi-resource management method for multi-tier SIN using the cooperative Nash bargaining solution. Since the original problem is a non-convex problem, we firstly make logarithmic transition, and then find a tightest lower bound function to convert the initial problem into a convex one. In order to carry out the optimal bandwidth and power allocation in SIN, we construct a joint bandwidth and power allocation (JBPA) algorithm. Simul…

Bargaining problemMathematical optimizationspace information networkComputer sciencetietoliikennesatelliititresource allocation020302 automobile design & engineering020206 networking & telecommunications02 engineering and technologyFunction (mathematics)Upper and lower boundslangaton tiedonsiirtooptimointi0203 mechanical engineeringConvergence (routing)Nash bargaining solutions0202 electrical engineering electronic engineering information engineeringBandwidth (computing)peliteoriaResource allocationtightest lower bound function2019 15th International Wireless Communications & Mobile Computing Conference (IWCMC)
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A Novel Energy Harvester for Powering Small UAVs: Performance Analysis, Model Validation and Flight Results

2019

The proposed work aims at exploring and developing new strategies to extend mission parameters (measured as travel distance and mission duration (MD)) of a new class of unmanned vehicles, named Micro Air Vehicles (MAVs). In this paper, a new analytical model, identifying all factors, which determine the MAV power consumption, is presented. Starting from the new model, the design of a nanoarray energy harvester, based on plasmonics nano-antenna technology is proposed. The preliminary study was based on a 22,066,058 22,066,058 &times

Battery (electricity)Computer scienceTerahertz radiation02 engineering and technologylcsh:Chemical technologyBiochemistryenergy harvesterSettore ING-INF/01 - ElettronicaEnergy harvesterAutomotive engineeringArticleAnalytical ChemistryModel validationnano-antennanano-antennasdipole rectenna array0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationPlasmonPower densityenergy harvester; MAV; power consumption model; nano-antennas; dipole rectenna array; perpetual flightWork (physics)perpetual flightpower consumption model020206 networking & telecommunications021001 nanoscience & nanotechnologyAtomic and Molecular Physics and OpticsRectenna0210 nano-technologyMAVEnergy (signal processing)
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On-board Energy Consumption Assessment for Symbolic Execution Models on Embedded Devices

2020

Internet of Things (IoT) applications operate in several domains while requiring seamless integration among heterogeneous objects. Regardless of the specific platform and context, IoT applications demand high energy efficiency. Adopting resource-constrained embedded devices for IoT applications means ensuring low power consumption, low maintenance costs and possibly longer battery life. Meeting these requirements is particularly arduous as programmers are not able to monitor the energy consumption of their own software during development or when applications are finally deployed. In this paper, we discuss on-board real-time energy evaluation of both hardware and software during the developm…

Battery (electricity)Computer sciencebusiness.industry020206 networking & telecommunicationsContext (language use)02 engineering and technologyEnergy consumptionSymbolic executionEmbedded deviceSoftware testing020202 computer hardware & architectureInternet of Things (IoT)Energy UtilizationOn boardSoftwarePower ManagementEmbedded systemEnergy Assessment0202 electrical engineering electronic engineering information engineeringResource-constrained DeviceBaseline (configuration management)businessEnergy (signal processing)
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An over-the-distance wireless battery charger based on RF energy harvesting

2017

An RF powered receiver silicon IC (integrated circuit) for RF energy harvesting is presented as wireless battery charger. This includes an RF-to-DC energy converter specifically designed with a sensitivity of -18.8 dBm and an energy conversion efficiency of ∼45% at 900 MHz with a transmitting power of 0.5 W in free space. Experimental results concerned with remotely battery charging using a complete prototype working in realistic scenarios will be shown.

Battery (electricity)EngineeringInternet of Things02 engineering and technologyIntegrated circuitInternet of Things; Litium Ion Battery; Radio Frequency Harvesting; Wireless Battery Charger; Wireless Sensor Networks; Hardware and Architecture; Electrical and Electronic Engineering; Modeling and SimulationSettore ING-INF/01 - ElettronicaRadio Frequency Harvestinglaw.inventionBattery chargerlawWireless Battery ChargerHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringElectronic engineeringElectrical and Electronic Engineeringbusiness.industry020208 electrical & electronic engineeringEnergy conversion efficiencyElectrical engineering020206 networking & telecommunicationsHardware and ArchitectureModeling and SimulationLitium Ion BatteryRadio frequencyInternet of ThingWireless Sensor NetworksbusinessEnergy harvestingSensitivity (electronics)Wireless sensor networkWireless Sensor Network2017 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
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Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring System

2021

This paper proposes an IoT system based on wireless BLE connectivity to monitor the moisture content of wood, using a compact and low-cost moisture device that relies on a resistance measurement method valid for an ultra-wide range of resistance values. This device is digitally controlled with a BLE-incorporated micro-controller characterized by its small size and low power consumption, providing long-life battery. The proposed system consists of two main parts: first, the BLE moisture device including the moisture content measurement and wireless capability (BLE)

Battery (electricity)IoTComputer scienceReal-time computingCloud computingwood moisture sensorcloud server02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryMoisture measurement0202 electrical engineering electronic engineering information engineeringWirelessWeb applicationlcsh:TP1-1185Electrical and Electronic EngineeringWood industryInstrumentationWater contentInternetMoisturebusiness.industry020206 networking & telecommunicationsXarxes locals sense fil Wi-Fiweb applicationmoisture estimationAtomic and Molecular Physics and OpticsVisualizationIoT networkSensor nodeBLE020201 artificial intelligence & image processingSoCbusiness
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Wireless Power Transmission for house appliances: A small-scale resonant coupling prototype

2016

This paper presents a low cost prototype of wireless power transfer system based on resonant coupling. The system here proposed can be useful for house appliances battery charging systems: as a matter of fact, it consists mainly of two copper wire coils or windings, placed one in front of the other on the same axis. By exploiting the coils resonance coupling effect, electric energy can be transferred from the inductor coil to the receiver in order to charge the batteries. Low cost experimental tests demonstrated the effectiveness of the proposed wireless power transfer prototype, being it capable to reach an efficiency of about 80% and more along a distance of 30 cm.

Battery (electricity)Resonant inductive couplingEngineeringEnergy Engineering and Power Technology02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciInductorbattery chargerHardware_GENERAL0202 electrical engineering electronic engineering information engineeringElectronic engineeringWirelessWireless power transferCouplingPower transmissionRenewable Energy Sustainability and the Environmentbusiness.industry020208 electrical & electronic engineeringElectrical engineering020206 networking & telecommunicationsWireless transmissionSettore ING-IND/31 - ElettrotecnicaComputer Networks and Communicationelectric house applianceHardware and ArchitectureElectromagnetic coilbusinessbattery charger; electric house appliances; Wireless transmission; Computer Networks and Communications; Hardware and Architecture; Energy Engineering and Power Technology; Renewable Energy Sustainability and the Environment2016 AEIT International Annual Conference (AEIT)
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Design and implementation of a long-range low-power wake-up radio for IoT devices

2019

In this paper, we present the design and implementation of an on-demand wake-up radio (WuR) for long-range wireless IoT devices to reduce the power consumption, thereby increasing the life time of the devices. A custom narrow-band (NB) low noise amplifier is designed and implemented for WuR. The low-noise amplifier achieves a gain of 31 dB at 1 mA current consumption from a 6 V power supply. The WuR achieves a sensivity of -80 dBm by consuming just 1 mA, thereby optimizing the energy consumption of battery powered long-range IoT devices, hence reducing the power consumption and overall costs when deployed in large scale.

Battery (electricity)business.industryComputer scienceAmplifier010401 analytical chemistrydBmElectrical engineering020206 networking & telecommunications02 engineering and technologyEnergy consumption01 natural sciencesLow-noise amplifier0104 chemical sciencesPower (physics)Range (aeronautics)0202 electrical engineering electronic engineering information engineeringWirelessbusinessInternet of Things2019 IEEE 5th World Forum on Internet of Things (WF-IoT)
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