Search results for "Computer Science - Networking and Internet Architecture"

showing 10 items of 24 documents

Towards Service-oriented 5G: Virtualizing the Networks for Everything-as-a-Service

2018

It is widely acknowledged that the forthcoming 5G architecture will be highly heterogeneous and deployed with a high degree of density. These changes over the current 4G bring many challenges on how to achieve an efficient operation from the network management perspective. In this article, we introduce a revolutionary vision of the future 5G wireless networks, in which the network is no longer limited by hardware or even software. Specifically, by the idea of virtualizing the wireless networks, which has recently gained increasing attention, we introduce the Everything-as-a-Service (XaaS) taxonomy to light the way towards designing the service-oriented wireless networks. The concepts, chall…

Big Datawireless networksNetworking and Internet Architecture (cs.NI)FOS: Computer and information sciencesvirtualisointisoftware5G-tekniikkawireless network virtualizationEverything-as-a-servicevirtualizationComputer Science - Networking and Internet Architecture5G technologyvirtualisation5G mobile communicationhardwarelcsh:Electrical engineering. Electronics. Nuclear engineeringeverything-as-a-servicecomputer architecturelcsh:TK1-99715Glangattomat verkot
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A Survey and Taxonomy of Urban Traffic Management: Towards Vehicular Networks

2014

Urban Traffic Management (UTM) topics have been tackled since long time, mainly by civil engineers and by city planners. The introduction of new communication technologies - such as cellular systems, satellite positioning systems and inter-vehicle communications - has significantly changed the way researchers deal with UTM issues. In this survey, we provide a review and a classification of how UTM has been addressed in the literature. We start from the recent achievements of "classical" approaches to urban traffic estimation and optimization, including methods based on the analysis of data collected by fixed sensors (e.g., cameras and radars), as well as methods based on information provide…

Computer Science - Networking and Internet ArchitectureNetworking and Internet Architecture (cs.NI)FOS: Computer and information sciencesComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
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Energy Efficient Resource Allocation and User Scheduling for Collaborative Mobile Clouds with Hybrid Receivers

2014

In this paper, we study the resource allocation and user scheduling algorithm for minimizing the energy cost of data transmission in the context of OFDMA collaborative mobile cloud (CMC) with simultaneous wireless information and power transfer (SWIPT) receivers. The CMC, which consists of several collaborating MTs offers one potential solution for downlink content distribution and for the energy consumption reduction at the terminal side. Meanwhile, as RF signal can carry both information and energy simultaneously, the induced SWIPT has gained much attention for energy efficiency design of mobile nodes. Previous work on the design of CMC system mainly focused on the cloud formulation or en…

Computer Science - Networking and Internet ArchitectureNetworking and Internet Architecture (cs.NI)FOS: Computer and information sciencescollaborative mobile cloudscontent distributiongreen communicationsuser schedulingsubchannel allocationresursointipower allocationuser cooperation
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Nanoseconds Timing System Based on IEEE 1588 FPGA Implementation

2019

Clock synchronization procedures are mandatory in most physical experiments where event fragments are readout by spatially dislocated sensors and must be glued together to reconstruct key parameters (e.g. energy, interaction vertex etc.) of the process under investigation. These distributed data readout topologies rely on an accurate time information available at the frontend, where raw data are acquired and tagged with a precise timestamp prior to data buffering and central data collecting. This makes the network complexity and latency, between frontend and backend electronics, negligible within upper bounds imposed by the frontend data buffer capability. The proposed research work describ…

EthernetFOS: Computer and information sciencesNuclear and High Energy PhysicsEye diagram; field-programmable gate arrays (FPGAs); front-end electronics; hardware; synchronization; timing systemfront-end electronicEye diagramtiming systemSerial communicationData bufferNetwork topology01 natural sciencesClock synchronizationNOComputer Science - Networking and Internet ArchitecturePE2_20103 physical sciencesSynchronization (computer science)hardwareElectrical and Electronic EngineeringNetworking and Internet Architecture (cs.NI)010308 nuclear & particles physicsbusiness.industrySettore FIS/01 - Fisica Sperimentalefront-end electronicsNuclear Energy and Engineeringfield-programmable gate arrays (FPGAs)Precision Time ProtocolbusinesssynchronizationComputer hardwareData link layer
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FIRST

2018

Thanks to the collective action of participating smartphone users, mobile crowdsensing allows data collection at a scale and pace that was once impossible. The biggest challenge to overcome in mobile crowdsensing is that participants may exhibit malicious or unreliable behavior, thus compromising the accuracy of the data collection process. Therefore, it becomes imperative to design algorithms to accurately classify between reliable and unreliable sensing reports. To address this crucial issue, we propose a novel Framework for optimizing Information Reliability in Smartphone-based participaTory sensing (FIRST) that leverages mobile trusted participants (MTPs) to securely assess the reliabil…

FOS: Computer and information sciencesComputer Networks and CommunicationsComputer scienceDistributed computingFrameworkCrowdsensing02 engineering and technologyTrustMobileComputer Science - Networking and Internet ArchitectureThe National MapInformation020204 information systems0202 electrical engineering electronic engineering information engineeringAndroid (operating system)ReputationPaceSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNetworking and Internet Architecture (cs.NI)Data collectionParticipatory sensingInformation quality020206 networking & telecommunicationsQualitySoftware deploymentWireless sensor networkACM Transactions on Sensor Networks
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Low-Power Wide-Area Networks for Sustainable IoT

2019

Low-power wide-area (LPWA) networks are attracting extensive attention because of their abilities to offer low-cost and massive connectivity to Internet of Things (IoT) devices distributed over wide geographical areas. This article provides a brief overview on the existing LPWA technologies and useful insights to aid the large-scale deployment of LPWA networks. Particularly, we first review the currently competing candidates of LPWA networks, such as narrowband IoT (NB-IoT) and long range (LoRa), in terms of technical fundamentals and large-scale deployment potential. Then we present two implementation examples on LPWA networks. By analyzing the field-test results, we identify several chall…

FOS: Computer and information sciencesComputer scienceComputer Science - Information Theory0805 Distributed Computing02 engineering and technologylaw.inventionComputer Science - Networking and Internet ArchitectureBluetoothGSMlaw1005 Communications Technologies0202 electrical engineering electronic engineering information engineeringBandwidth (computing)Resource managementElectrical and Electronic EngineeringNetworking and Internet Architecture (cs.NI)business.industryInformation Theory (cs.IT)020206 networking & telecommunicationsComputer Science ApplicationsPower (physics)0906 Electrical and Electronic EngineeringWide areaSoftware deploymentNetworking & TelecommunicationsTelecommunicationsbusinessInternet of Things
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Capture Aware Sequential Waterfilling for LoraWAN Adaptive Data Rate

2020

LoRaWAN (Long Range Wide Area Network) is emerging as an attractive network infrastructure for ultra low power Internet of Things devices. Even if the technology itself is quite mature and specified, the currently deployed wireless resource allocation strategies are still coarse and based on rough heuristics. This paper proposes an innovative "sequential waterfilling" strategy for assigning Spreading Factors (SF) to End-Devices (ED). Our design relies on three complementary approaches: i) equalize the Time-on-Air of the packets transmitted by the system's EDs in each spreading factor's group; ii) balance the spreading factors across multiple access gateways, and iii) keep into account the c…

FOS: Computer and information sciencesComputer scienceDistributed computingInternet of ThingsWireless communicationresource allocationServers02 engineering and technologyNetwork topologyspreading factorsinter-SF interferenceComputer Science - Networking and Internet Architecturechannel captureBandwidthServerLPWAN0202 electrical engineering electronic engineering information engineeringWirelessComputer architectureElectrical and Electronic Engineeringinternet of t6hingsNetworking and Internet Architecture (cs.NI)Network packetbusiness.industryApplied MathematicsResource managementinternet of t6hings; LoRaWAN; spreading factors; resource allocation; adaptive data rate; channel capture; inter-SF interference020206 networking & telecommunicationsComputer Science ApplicationsLoRaWANadaptive data rateWide area networkScalabilityHeuristicsbusinessInterferenceUplinkCommunication channel
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Impact of LTE’s Periodic Interference on Heterogeneous Wi-Fi Transmissions

2018

The problem of Wi-Fi and LTE coexistence has been significantly debated in the last years, with the emergence of LTE extensions enabling the utilization of unlicensed spectrum for carrier aggregation. Rather than focusing on the problem of resource sharing between the two technologies, in this paper, we study the effects of LTE's structured transmissions on the Wi-Fi random access protocol. We show how the scheduling of periodic LTE transmissions modifies the behavior of 802.11's distributed coordination function (DCF), leading to a degradation of Wi-Fi performance, both in terms of channel utilization efficiency and in terms of channel access fairness. We also discuss the applicability and…

FOS: Computer and information sciencesComputer scienceThroughput02 engineering and technologyDistributed coordination functionSpectrum managementAnalytical modelScheduling (computing)Computer Science - Networking and Internet ArchitectureC.2.0C.2.50202 electrical engineering electronic engineering information engineeringLong Term EvolutionWireless fidelityElectrical and Electronic EngineeringProbabilitySensorNetworking and Internet Architecture (cs.NI)business.industrySettore ING-INF/03 - TelecomunicazioniComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsComputer Science Applications1707 Computer Vision and Pattern RecognitionThroughput91A06 91A10 91A80Computer Science ApplicationsShared resourceModeling and SimulationbusinessC.2.0; C.2.5InterferenceRandom accessComputer networkCommunication channel
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A Comprehensive Utility Function for Resource Allocation in Mobile Edge Computing

2020

In mobile edge computing (MEC), one of the important challenges is how much resources of which mobile edge server (MES) should be allocated to which user equipment (UE). The existing resource allocation schemes only consider CPU as the requested resource and assume utility for MESs as either a random variable or dependent on the requested CPU only. This paper presents a novel comprehensive utility function for resource allocation in MEC. The utility function considers the heterogeneous nature of applications that a UE offloads to MES. The proposed utility function considers all important parameters, including CPU, RAM, hard disk space, required time, and distance, to calculate a more realis…

FOS: Computer and information sciencesComputer sciencemedia_common.quotation_subjectG.3Cloud computingComputer Science - Networking and Internet ArchitectureC.2.3BiomaterialsC.2.1Resource (project management)Electrical and Electronic EngineeringFunction (engineering)media_commonNetworking and Internet Architecture (cs.NI)Mobile edge computingbusiness.industryEnergy consumptionComputer Science ApplicationsTask (computing)User equipmentMechanics of MaterialsModeling and SimulationResource allocationG.3; C.2.3; C.2.1business46FxxComputer networkComputers, Materials & Continua
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IncentMe: Effective Mechanism Design to Stimulate Crowdsensing Participants with Uncertain Mobility

2018

Mobile crowdsensing harnesses the sensing power of modern smartphones to collect and analyze data beyond the scale of what was previously possible with traditional sensor networks. Given the participatory nature of mobile crowdsensing, it is imperative to incentivize mobile users to provide sensing services in a timely and reliable manner. Most importantly, given sensed information is often valid for a limited period of time, the capability of smartphone users to execute sensing tasks largely depends on their mobility pattern, which is often uncertain. For this reason, in this paper, we propose IncentMe, a framework that solves this core issue by leveraging game-theoretical reverse auction …

FOS: Computer and information sciencesOptimizationMonitoringComputer Networks and CommunicationsComputer scienceDistributed computingMobile computingCrowdsensing02 engineering and technologyComputer Science - Networking and Internet ArchitectureReverse auctionSmart phoneCrowdsensingGame Theory0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringSensorNetworking and Internet Architecture (cs.NI)Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniMechanism designMobile computing020206 networking & telecommunicationsAuctionNavigationCore (game theory)RoadComputer Networks and CommunicationSensingTask analysisTask analysiParticipatoryState (computer science)MechanismSmartphoneWireless sensor networkIncentiveSoftware
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