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

showing 4 items of 24 documents

Accurate Graph Filtering in Wireless Sensor Networks

2020

Wireless sensor networks (WSNs) are considered as a major technology enabling the Internet of Things (IoT) paradigm. The recent emerging Graph Signal Processing field can also contribute to enabling the IoT by providing key tools, such as graph filters, for processing the data associated with the sensor devices. Graph filters can be performed over WSNs in a distributed manner by means of a certain number of communication exchanges among the nodes. But, WSNs are often affected by interferences and noise, which leads to view these networks as directed, random and time-varying graph topologies. Most of existing works neglect this problem by considering an unrealistic assumption that claims the…

Signal Processing (eess.SP)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesComputer Networks and CommunicationsComputer scienceNetwork packetDistributed computing020206 networking & telecommunications02 engineering and technologyNetwork topologyGraphComputer Science ApplicationsComputer Science - Networking and Internet ArchitectureHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringComputer Science::Networking and Internet ArchitectureFOS: Electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingElectrical Engineering and Systems Science - Signal ProcessingWireless sensor networkInformation Systems
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SHARP: Environment and Person Independent Activity Recognition with Commodity IEEE 802.11 Access Points

2022

In this article we present SHARP, an original approach for obtaining human activity recognition (HAR) through the use of commercial IEEE 802.11 (Wi-Fi) devices. SHARP grants the possibility to discern the activities of different persons, across different time-spans and environments. To achieve this, we devise a new technique to clean and process the channel frequency response (CFR) phase of the Wi-Fi channel, obtaining an estimate of the Doppler shift at a radio monitor device. The Doppler shift reveals the presence of moving scatterers in the environment, while not being affected by (environment-specific) static objects. SHARP is trained on data collected as a person performs seven differe…

Signal Processing (eess.SP)Networking and Internet Architecture (cs.NI)FOS: Computer and information scienceshuman activity recognitionMobile computingComputer Science - Machine LearningCFRMonitoringSensorsComputer Networks and CommunicationsIEEE 802.11acneural networksWi-Fi sensingMachine Learning (cs.LG)Computer Science - Networking and Internet ArchitectureCSIActivity recognitionFOS: Electrical engineering electronic engineering information engineeringPerformance evaluationFeature extractionWireless fidelityElectrical and Electronic EngineeringElectrical Engineering and Systems Science - Signal Processingcontactless indoor monitoringSoftware
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Selfish vs. Unselfish Optimization of Network Creation

2005

We investigate several variants of a network creation model: a group of agents builds up a network between them while trying to keep the costs of this network small. The cost function consists of two addends, namely (i) a constant amount for each edge an agent buys and (ii) the minimum number of hops it takes sending messages to other agents. Despite the simplicity of this model, various complex network structures emerge depending on the weight between the two addends of the cost function and on the selfish or unselfish behaviour of the agents.

Statistics and ProbabilityNetworking and Internet Architecture (cs.NI)FOS: Computer and information sciencesGroup (mathematics)Computer sciencemedia_common.quotation_subjectStatistical and Nonlinear PhysicsFunction (mathematics)Complex networkTopologyComputer Science - Networking and Internet ArchitectureHardware Architecture (cs.AR)Computer Science - Multiagent SystemsSimplicityEnhanced Data Rates for GSM EvolutionStatistics Probability and UncertaintyConstant (mathematics)Computer Science - Hardware Architecturemedia_commonMultiagent Systems (cs.MA)
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Joint Sub-Carrier and Power Allocation for Efficient Communication of Cellular UAVs

2020

| openaire: EC/H2020/857031/EU//5G!Drones Cellular networks are expected to be the main communication infrastructure to support the expanding applications of Unmanned Aerial Vehicles (UAVs). As these networks are deployed to serve ground User Equipment (UEs), several issues need to be addressed to enhance cellular UAVs’ services. In this paper, we propose a realistic communication model on the downlink, and we show that the Quality of Service (QoS) for the users is affected by the number of interfering BSs and the impact they cause. The joint problem of sub-carrier and power allocation is therefore addressed. Given its complexity, which is known to be NP-hard, we introduce a solution based …

game theorySignal Processing (eess.SP)FOS: Computer and information sciencescellular networksComputer scienceDistributed computing02 engineering and technologyComputer Science - Networking and Internet ArchitectureTelecommunications linkFOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringWirelessElectrical Engineering and Systems Science - Signal ProcessingElectrical and Electronic EngineeringUnmanned aerial vehicles (UAVs)Networking and Internet Architecture (cs.NI)business.industryApplied MathematicsQuality of serviceMatching game020206 networking & telecommunicationsdownlink communicationComputer Science ApplicationsModels of communicationCellular networkbusinessGame theoryIEEE Transactions on Wireless Communications
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