Search results for " telecomunicazioni"

showing 10 items of 245 documents

Experimental Assessment of the Backoff Behavior of Commercial IEEE 802.11b Network Cards

2007

It has been observed that different IEEE 802.11 commercial cards produced by different vendors experience different performance, either when accessing alone the channel, as well as when competing against each other. These differences persist also when thorough measurement methodologies (such as RF shielding, laptop rotation, etc) are applied, and alignment of the environmental factors (same laptop models, traffic generators, etc) is carried out. This paper provides an extensive experimental characterization of the backoff operation of six commercial NIC cards. It suggests a relevant methodological approach, namely a repeatable, well defined, set of experiments, for such a characterization. …

IEEE 802business.product_categoryComputer scienceNetwork cardsSoftware performance testingComputer software; Laptop computers; Telecommunication traffic; Low level backoff distribution measurements; Network cards; Traffic generators; Window size; Network architectureLaptop computerscomputer.software_genreSettore ING-INF/01 - ElettronicaSoftwareMicrocodeComputer softwareWindow sizeTraffic generatorsSettore ING-INF/03 - Telecomunicazionibusiness.industryFirmwareNetwork architecturePortable computers Rotation measurement Radio frequency Environmental factorsTelecommunication trafficNetwork interface controllerLaptopEmbedded systemLow level backoff distribution measurementsbusinesscomputerCommunication channelIEEE INFOCOM 2007 - 26th IEEE International Conference on Computer Communications
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Rethinking the IEEE 802.11e EDCA Performance Modeling Methodology

2010

Analytical modeling of the 802.11e enhanced distributed channel access (EDCA) mechanism is today a fairly mature research area, considering the very large number of papers that have appeared in the literature. However, most work in this area models the EDCA operation through per-slot statistics, namely probability of transmission and collisions referred to "slots." In so doing, they still share a methodology originally proposed for the 802.11 Distributed Coordination Function (DCF), although they do extend it by considering differentiated transmission/ collision probabilities over different slots.We aim to show that it is possible to devise 802.11e models that do not rely on per-slot statis…

IEEE 802medium access protocolSettore ING-INF/03 - TelecomunicazioniComputer Networks and Communicationsbusiness.industryComputer scienceWiFiDistributed computingQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSQoSThroughputDistributed coordination functionComputer Science ApplicationsTransmission (telecommunications)Wireless lanElectrical and Electronic EngineeringbusinessThroughput (business)SoftwareComputer networkCommunication channelIEEE/ACM Transactions on Networking
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Analysis of the limitations of WiFi communications managed by the IEEE 802.11 protocol in data transmission in automated power distribution systems

2010

This paper presents a study on the performances of the IEEE 802.11 protocol used in a Medium Voltage networks management system, carried out using a model for the simulation of WiFi chains architectures. The results of the simulations give some practical indications for the use of the IEEE 802.11 protocol also in presence of transmissions characterized by rigid time intervals, for which this protocol is usually not suitable. Finally the whole communications system is presented.

IEEE 802.11EngineeringIEEE 802IEEE 802.11uSettore ING-INF/03 - Telecomunicazionibusiness.industryInter-Access Point ProtocolWiFiComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaIEEE 802.1QEmbedded systemIEEE 802.11g-2003DiagnosticIEEE 802.1XbusinessComputer networkIEEE 802.11sIEEE 802.11r-2008SPEEDAM 2010
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On-body and off-body transmit power control in IEEE 802.15.6 scheduled access networks

2014

Wireless Body Area Networks (WBANs) have received much attention due to the possibility to be used in healthcare applications. For these applications, energy saving is a critical issue, as in many cases, batteries cannot be easily replaced. A transmit power control scheme, able to adapt to the variations of the wireless body channel, will allow consistent energy saving and longer battery life. In this paper we propose a transmit power control scheme suitable for IEEE 802.15.6 narrowband scheduled access networks, in which the transmission power is modulated frame by frame according to a run-time estimation of the channel propagation conditions. A simple and effective line search algorithm i…

IEEE 802.15.6Access networkAdaptive Transmit Power ControlSettore ING-INF/03 - TelecomunicazioniInter-Access Point Protocolbusiness.industryComputer scienceTransmitter power outputKey distribution in wireless sensor networksNarrowbandComputer Science::Networking and Internet ArchitectureElectronic engineeringWirelessWBANRadio resource managementWireless Body Area NetworkbusinessWireless sensor networkFade marginIEEE 802.15ATPCComputer Science::Information TheoryPower controlComputer networkCommunication channel2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC)
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An interpolation-based data fusion scheme for enhancing the resolution of thermal image sequences

2014

In several human activities, such as agriculture and forest management, the monitoring of radiometric surface temperature is key. In particular both high spatial resolution and high acquisition rate are desirable but, due to the hardware limitations, these two characteristics are not met by the same sensor. The fusion of remotely sensed data acquired by sensors with different spatial and temporal resolution is a profitable choice to face this issue. When the real-time requirement is relaxed, the data sequence can be processed as a whole, allowing to improve the final result. Within this framework, we propose a novel batch sharpening strategy, relying on interpolation, data fusion and Bayesi…

Image fusionIrrigation ManagementSettore ING-INF/03 - TelecomunicazioniComputer sciencebusiness.industrySettore ICAR/02 - Costruzioni Idrauliche E Marittime E IdrologiaComputer Science Applications1707 Computer Vision and Pattern RecognitionSharpeningSensor fusionBayesian SmoothingThermal SharpeningMultitemporal AnalysiTemporal resolutionFace (geometry)Key (cryptography)Settore AGR/08 - Idraulica Agraria E Sistemazioni Idraulico-ForestaliComputer visionArtificial intelligencebusinessMultisensor Data FusionEarth and Planetary Sciences (all)Settore ICAR/06 - Topografia E CartografiaSub-pixel resolutionInterpolation2014 IEEE Geoscience and Remote Sensing Symposium
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Challenges and Opportunities using MultiChain for Real Estate

2019

The real estate market involves multiple untrusted actors with contrasting objectives. We propose REchain, a blockchain-based platform for real estate, which provides benefits to all actors in terms of transparency, trust, immutability, and traceability. REchain architecture handles real estate data through well-defined workflows that leverage the MultiChain platform. REchain changes the real estate market enabling direct transactions without intermediaries, and providing new mechanisms for negotiating the purchase conditions. This paper refutes the misleading idea of using blockchains for solving generic problems as blockchain platforms have peculiar features that make them suitable for sp…

ImmutabilityTraceabilitySettore ING-INF/03 - TelecomunicazioniComputer scienceTransparency (market)media_common.quotation_subject020206 networking & telecommunicationsReal estate02 engineering and technologyData scienceNegotiationIntermediaryWorkflow0202 electrical engineering electronic engineering information engineeringBlockchain smart filter smart contract real estate020201 artificial intelligence & image processingArchitecturemedia_common2019 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
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BlockSee: Blockchain for IoT video surveillance in smart cities

2018

The growing demand for safety in urban environments is supported by monitoring using video surveillance. The need to analyze multiple video-flows from different cameras deployed around the city by heterogeneous owners introduces vulnerabilities and privacy issues. Video frames, timestamps, and camera settings can be digitally manipulated by malicious users; the positions of cameras, their orientation and their mechanical settings can be physically manipulated. Digital and physical manipulations may have several effects, including the change of the observed scene and the potential violation of neighbors' privacy. To face these risks, we introduce BlockSee, a blockchain-based video surveillan…

Immutabilityblockchain video surveillance privacyBlockchainbusiness.industryPHYSICAL MANIPULATIONSComputer scienceOrientation (computer vision)Settore ING-INF/03 - TelecomunicazioniComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020207 software engineeringMonitoring system02 engineering and technologyComputer securitycomputer.software_genreFace (geometry)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingTimestampInternet of Thingsbusinesscomputer
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Rings for privacy: An architecture for privacy-preserving user profiling

2014

Information privacysocial networking (online) data privacy human factors InternetSettore ING-INF/03 - TelecomunicazioniComputer sciencePrivacy softwarebusiness.industryInternet privacyComputer securitycomputer.software_genrePrivacy preservingprivacy-preserving users profiling FCM clustering distributed unstable scenarioProfiling (information science)The InternetArchitecturebusinesscomputer
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AI for Resource Allocation and Resource Allocation for AI: a two-fold paradigm at the network edge

2022

5G-and-beyond and Internet of Things (IoT) technologies are pushing a shift from the classic cloud-centric view of the network to a new edge-centric vision. In such a perspective, the computation, communication and storage resources are moved closer to the user, to the benefit of network responsiveness/latency, and of an improved context-awareness, that is, the ability to tailor the network services to the live user's experience. However, these improvements do not come for free: edge networks are highly constrained, and do not match the resource abundance of their cloud counterparts. In such a perspective, the proper management of the few available resources is of crucial importance to impr…

Internet Of ThingMINLPIoTEdge NetworkPerformance EvaluationLow Power Wide Area NetworkSystem ModelingSettore ING-INF/03 - TelecomunicazioniUAVSoftware Defined RadioReal TestbedVehicular NetworkMLLoRaReinforcement LearningResource AllocationMachine LearningGame TheoryArtificial IntelligenceAILPWANColosseum Channel EmulatorChannel EmulationEmulationSDR
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Predicting lorawan behavior. How machine learning can help

2020

Large scale deployments of Internet of Things (IoT) networks are becoming reality. From a technology perspective, a lot of information related to device parameters, channel states, network and application data are stored in databases and can be used for an extensive analysis to improve the functionality of IoT systems in terms of network performance and user services. LoRaWAN (Long Range Wide Area Network) is one of the emerging IoT technologies, with a simple protocol based on LoRa modulation. In this work, we discuss how machine learning approaches can be used to improve network performance (and if and how they can help). To this aim, we describe a methodology to process LoRaWAN packets a…

IoTComputer Networks and CommunicationsComputer scienceDecision treeChannel occupancy; cluster analysis; IoT; LoRa; LoRaWAN; machine learning; network optimization; prediction analysisMachine learningcomputer.software_genreChannel occupancyLoRalcsh:QA75.5-76.95network optimizationNetwork performanceProtocol (object-oriented programming)Profiling (computer programming)Artificial neural networkNetwork packetbusiness.industrySettore ING-INF/03 - TelecomunicazioniPipeline (software)LoRaWANHuman-Computer Interactionmachine learningprediction analysisArtificial intelligencelcsh:Electronic computers. Computer sciencebusinesscomputerCommunication channelcluster analysis
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