Search results for "Distributed computing"

showing 10 items of 622 documents

A fog-based hybrid intelligent system for energy saving in smart buildings

2019

In recent years, the widespread diffusion of pervasive sensing devices and the increasing need for reducing energy consumption have encouraged research in the energy-aware management of smart environments. Following this direction, this paper proposes a hybrid intelligent system which exploits a fog-based architecture to achieve energy efficiency in smart buildings. Our proposal combines reactive intelligence, for quick adaptation to the ever-changing environment, and deliberative intelligence, for performing complex learning and optimization. Such hybrid nature allows our system to be adaptive, by reacting in real time to relevant events occurring in the environment and, at the same time, …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniQA75General Computer ScienceAmbient Intelligence Fuzzy Systems Fog Computing Energy Efficiencybusiness.industryComputer scienceDistributed computingComputational intelligence02 engineering and technologyEnergy consumptionHybrid intelligent systemHome automation020204 information systems0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSmart environmentbusinessAdaptation (computer science)Efficient energy useBuilding automationJournal of Ambient Intelligence and Humanized Computing
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A TRNG Exploiting Multi-Source Physical Data

2010

In recent years, the considerable progress of miniaturization and the consequent increase of the efficiency of digital circuits has allowed a great diffusion of the wireless sensor network technology. This has led to the growth of applications and protocols for applying these networks to several scenarios, such as the military one, where it is essential to deploy security protocols in order to prevent opponents from accessing the information exchanged among sensor nodes. This paper analyzes security issues of data processed by the WSN and describes a system able to generate sequences of random numbers, which can be used by security algorithms and protocols. The proposed True Random Number G…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRandom number generationbusiness.industryNetwork securityComputer scienceDistributed computingNode (networking)Cryptographic protocolTrusted third partyKey distribution in wireless sensor networksWireless Sensor Networks Random Number Generator Network SecurityNISTbusinessWireless sensor networkComputer network
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Robust and Efficient Data Gathering for Wireless Sensor Networks

2006

This paper describes a new strategy for data gathering in wireless sensor networks that takes into account the need for both energy saving, typical of such networks, and for a reasonable tradeoff between robustness and efficiency. The proposed algorithm implements an efficient strategy for retransmission of lost packets by discovering alternative routes and making clever use of multiple paths when necessary; in order to do that we build upon the general framework presented in recent works, that provided a formulation of duplicate and order insensitive aggregation functions, and by taking advantage of some intrinsic characteristics of the wireless sensor networks, we exploit implicit acknowl…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRouting protocolbusiness.industryNetwork packetComputer sciencePacket transmissionDistributed computingRetransmissionWireless sensor networksBase stationKey distribution in wireless sensor networksIntelligent sensorRobustness (computer science)Aggregation functionbusinessWireless sensor networkComputer networkProceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)
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A Networking Framework for Multi-Robot Coordination

2008

Autonomous robots operating in real environments need to be able to interact with a dynamic world populated with objects, people, and, in general, other agents. The current generation of autonomous robots, such as the ASIMO robot by Honda or the QRIO by Sony, has showed impressive performances in mechanics and control of movements; moreover, recent literature reports encouraging results about the capability of such robots of representing themselves with respect to a dynamic external world, of planning future actions and of evaluating resulting situations in order to make new plans. However, when multiple robots are supposed to operate together, coordination and communication issues arise; w…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniScheme (programming language)Distributed Computing EnvironmentEngineeringExploitbusiness.industryDistributed computingRoboticsASIMORobotic systems Wireless Sensor NetworksRobotArtificial intelligenceAISoy1businesscomputerWireless sensor networkcomputer.programming_language
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The egoistic approach to parallel process migration into heterogeneous workstation network

1996

Abstract A new approach to the allocation of processes in a distributed system is discussed. The proposed solution deals with process migration into heterogeneous systems by means of a strategy that delegates the individual parallel applications to manage the migration of their processes by themselves, on the basis of their own performance objectives. This approach is discussed in opposition to the global scheduling based one, and the load balancing objective is pursued as an effect of the optimization of individual applications. A new performance evaluation criterion is introduced that consists in monitoring the delays that occur when two parallel processes run towards a common synchroniza…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniWorkstationComputer scienceDistributed computingParallel processLoad balancing (computing)Performance objectiveGlobal schedulinglaw.inventionHardware and ArchitecturelawSimulated annealingDistributed Computing SystemsProcess migrationSoftwareJournal of Systems Architecture
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Time-Constrained Node Visit Planning for Collaborative UAV-WSN Distributed Applications.

2022

Unmanned Aerial Vehicles (UAVs) are often studied as tools to perform data collection from Wireless Sensor Networks (WSNs). Path planning is a fundamental aspect of this endeavor. Works in the current literature assume that data are always ready to be retrieved when the UAV passes. This operational model is quite rigid and does not allow for the integration of the UAV as a computational object playing an active role in the network. In fact, the UAV could begin the computation on a first visit and retrieve the data later. Potentially, the UAV could orchestrate the distributed computation to improve its performance, change its parameters, and even upload new applications to the sensor network…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionidistributed computing UAV UAV path planning UAV task scheduling UAV-supported IoT systems for smart cities UAV–WSN integrationdistributed computing; UAV; UAV–WSN integration; UAV path planning; UAV task scheduling; UAV-supported IoT systems for smart citiesElectrical and Electronic EngineeringBiochemistryInstrumentationAtomic and Molecular Physics and OpticsAnalytical ChemistrySensors (Basel, Switzerland)
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Modeling Efficient and Effective Communications in VANET through Population Protocols

2021

Vehicular Ad-hoc NETworks (VANETs) enable a countless set of next-generation applications thanks to the technological progress of the last decades. These applications rely on the assumption that a simple network of vehicles can be extended with more complex and powerful network infrastructure, in which several Road Side Units (RSUs) are employed to achieve application-specific goals. However, this assumption is not always satisfied as in many real-world scenarios it is unfeasible to have a conspicuous deployment of RSUs, due to both economic and environmental constraints. With the aim to overcome this limitation, in this paper we investigate how the only Vehicle-to-Vehicle (V2V) communicati…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionieducation.field_of_studypopulation protocols VANET Vehicle-to-Vehicle communicationsVehicular ad hoc networkSIMPLE (military communications protocol)Event (computing)Computer scienceDistributed computingPopulationPopulation protocolSchema (genetic algorithms)Software deploymentSynchronization (computer science)education2021 IEEE International Conference on Smart Computing (SMARTCOMP)
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Mixing Different Realities in a Single Shared Space

2019

The concept of internet of everything involves an intelligent connection of people, processes, data, and things. In this sense, shared spaces aimed to connect different users that collaborate following a common purpose are of relevance to the field. Many computer-based collaborative environments have been proposed in recent years. However, the design of mixed-platform collaborative spaces, in which different paradigms—such as augmented reality (AR) and virtual reality (VR)—are blended, is still uncommon. This chapter aims to analyze the benefits and features of these systems, reviewing existing related works and proposing a series of features for the design of effective mixed-platform colla…

Shared spaceComputer scienceDistributed computingMixing (physics)
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Non-cooperative Aerial Base Station Placement via Stochastic Optimization

2019

Autonomous unmanned aerial vehicles (UAVs) with on-board base station equipment can potentially provide connectivity in areas where the terrestrial infrastructure is overloaded, damaged, or absent. Use cases comprise emergency response, wildfire suppression, surveillance, and cellular communications in crowded events to name a few. A central problem to enable this technology is to place such aerial base stations (AirBSs) in locations that approximately optimize the relevant communication metrics. To alleviate the limitations of existing algorithms, which require intensive and reliable communications among AirBSs or between the AirBSs and a central controller, this paper leverages stochastic…

Signal Processing (eess.SP)Computer scienceQuality of serviceDistributed computing05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyNetwork utilityCellular communicationBase station0508 media and communicationsControl theoryOptimization and Control (math.OC)0202 electrical engineering electronic engineering information engineeringFOS: Electrical engineering electronic engineering information engineeringFOS: MathematicsStochastic optimizationUse caseElectrical Engineering and Systems Science - Signal ProcessingGradient descentMathematics - Optimization and Control
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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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