Search results for "NETWORKS"

showing 10 items of 3260 documents

Wireless sensor network coverage problem using modified fireworks algorithm

2016

Wireless sensor networks are emerging technology with increasing number of applications, and consequently an active research area. One of the problems pertinent to wireless sensor networks is the coverage problem with number of definitions, depending on the assumed conditions. In this paper we consider hard optimization area coverage problem with the goal of finding optimal sensor nodes positions that maximize probabilistic coverage of the area of interest. For such type of optimization problem swarm intelligence stochastic metaheuristics have been successfully used. In this paper we propose a modified enhanced fireworks algorithm for wireless sensor network coverage problem and compare it …

Mathematical optimizationOptimization problemComputer scienceDistributed computingParticle swarm optimization020206 networking & telecommunications02 engineering and technologySwarm intelligenceKey distribution in wireless sensor networksComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringMobile wireless sensor network020201 artificial intelligence & image processingMulti-swarm optimizationMetaheuristicWireless sensor network2016 International Wireless Communications and Mobile Computing Conference (IWCMC)
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Average flow constraints and stabilizability in uncertain production-distribution systems

2009

We consider a multi-inventory system with controlled flows and uncertain demands (disturbances) bounded within assigned compact sets. The system is modelled as a first-order one integrating the discrepancy between controlled flows and demands at different sites/nodes. Thus, the buffer levels at the nodes represent the system state. Given a long-term average demand, we are interested in a control strategy that satisfies just one of two requirements: (i) meeting any possible demand at each time (worst case stability) or (ii) achieving a predefined flow in the average (average flow constraints). Necessary and sufficient conditions for the achievement of both goals have been proposed by the aut…

Mathematical optimizationStochastic stabilityControl and OptimizationComputer scienceSCHEDULING POLICIESUNKNOWN INPUTSInventory control; Robust controlRobust controlUncertain systemsUncertain demandsManagement Science and Operations ResearchControl strategies; Inventory systems; Uncertain demands; Worst caseStability (probability)Distribution systemMULTI-INVENTORY SYSTEMSControl theoryProduction (economics)Inventory control Robust control Stochastic stabilityAverage costInventory systemsMathematicsInventory controlStochastic processControl strategiesApplied MathematicsWorst caseNETWORKSControllabilityFlow (mathematics)Bounded functionProduction controlRobust controlSettore MAT/09 - Ricerca OperativaMANUFACTURING SYSTEMS
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Representation of capacity drop at a road merge via point constraints in a first order traffic model

2018

We reproduce the capacity drop phenomenon at a road merge by implementing a non-local point constraint at the junction in a first order traffic model. We call capacity drop the situation in which the outflow through the junction is lower than the receiving capacity of the outgoing road, as too many vehicles trying to access the junction from the incoming roads hinder each other. In this paper, we first construct an enhanced version of the locally constrained model introduced by Haut et al. (Proceedings 16th IFAC World Congress. Prague, Czech Republic 229 (2005) TuM01TP/3), then we propose its counterpart featuring a non-local constraint and finally we compare numerically the two models by c…

Mathematical optimizationTraffic model010103 numerical & computational mathematics01 natural sciencesScalar conservation law; LWR model; traffic flow on networks; point constraint on the flux; finite volumes schemesNOfinite volumes schemes[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP]point constraint on the flux0101 mathematics[MATH]Mathematics [math]Scalar conservation lawMathematicsLWR modelNumerical AnalysisApplied MathematicsFirst order010101 applied mathematicsFinite volumes schemes; LWR model; Point constraint on the flux; Scalar conservation law; Traffic flow on networksComputational MathematicsModeling and Simulationtraffic flow on networksOutflowfinite volumes schemeMerge (version control)Analysis
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Optimal Local Routing Strategies for Community Structured Time Varying Communication Networks

2017

International audience; In time varying data communication networks (TVCN), traffic congestion, system utility maximization and network performance enhancement are the prominent issues. All these issues can be resolved either by optimizing the network structure or by selecting efficient routing approaches. In this paper, we focus on the design of a time varying network model and propose an algorithm to find efficient user route in this network. Centrality plays a very important role in finding congestion free routes. Indeed, the more a node is central, the more it can be congested by the flow coming from or going to its neighborhood. For that reason, classically, routes are chosen such that…

Mathematical optimization[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Computer scienceNode (networking)Distributed computing[ INFO.INFO-NI ] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Community structure01 natural sciencesTelecommunications network010305 fluids & plasmasCommunity structure[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]Data communication networks modelTraffic congestionBetweenness centrality0103 physical sciencesNetwork performanceSystem utilityRouting (electronic design automation)010306 general physicsCentralityCloseness and betweenness centrality
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Evolving non-dominated solutions in multiobjective service restoration for automated distribution networks

2001

Abstract The problem here dealt with is that of Service Restoration (SR) in automated distribution networks. In such networks, configuration and compensation level as well as loads insertion status can be remotely controlled. The considered SR problem should be handled using Multiobjective Optimization, MO, techniques since its solution requires a compromise between different criteria. In the adopted formulation, these criteria are the supply of the highest number of loads and the minimum power losses. The Authors propose a new MO approach, the Non-dominated Sorting Fuzzy Evolution Strategy, NS_FES, which uses part of the Non-dominated Sorting Genetic Algorithm, NSGA, proposed by K. Deb. Th…

Mathematical optimizationeducation.field_of_studyEngineeringDistribution networksbusiness.industryPopulationEnergy Engineering and Power TechnologyService restorationMulti-objective optimizationFuzzy logicElectrical and Electronic EngineeringEvolution strategyeducationbusinessElectric Power Systems Research
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Energy-efficient resource allocation for OFDMA two-way relay networks with imperfect CSI

2015

Most of the existed works on the radio resource allocation (RRA) problem commonly assume the channel-state information (CSI) can be perfectly obtained by the transmission source. However, such assumption is not practical in the realistic wireless systems. In this work, we consider the practical implementation issues of resource allocation in orthogonal frequency division multiple access (OFDMA) two-way relay networks: the inaccuracy of channel-state information (CSI) available to the source. Instead, only the estimated channel status is known by the source. In this context, a joint optimization of subcarrier pairing and allocation, relay selection, and transmit power allocation is formulate…

Mathematical optimizationenergiatehokkuusComputer Networks and CommunicationsComputer scienceOrthogonal frequency-division multiple accessData_CODINGANDINFORMATIONTHEORYImperfect channel-state informationlaw.inventionOFDMARelaylawComputer Science::Information Theorybusiness.industryQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSEnergy consumptionTransmitter power outputComputer Science ApplicationsTwo-way relaySubcarrier pairingSignal ProcessingConvex optimizationResource allocationbusinessRadio resource allocationCommunication channelComputer networkEfficient energy useEURASIP Journal on Wireless Communications and Networking
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Optimal Placement of Pressure Sensors Using Fuzzy DEMATEL-Based Sensor Influence

2020

[EN] Nowadays, optimal sensor placement (OSP) for leakage detection in water distribution networks is a lively field of research, and a challenge for water utilities in terms of network control, management, and maintenance. How many sensors to install and where to install them are crucial decisions to make for those utilities to reach a trade-off between efficiency and economy. In this paper, we address the where-to-install-them part of the OSP through the following elements: nodes' sensitivity to leakage, uncertainty of information, and redundancy through conditional entropy maximisation. We evaluate relationships among candidate sensors in a network to get a picture of the mutual influenc…

Mathematical optimizationlcsh:Hydraulic engineeringDistribution networksoptimal sensor placementComputer scienceEntropyleakageGeography Planning and Development09.- Desarrollar infraestructuras resilientes promover la industrialización inclusiva y sostenible y fomentar la innovación0207 environmental engineeringDEMATEL02 engineering and technologyAquatic ScienceBiochemistryFuzzy logiclcsh:Water supply for domestic and industrial purposesSensitivityMulti-criteria decision-makingFuzzy dematellcsh:TC1-9780202 electrical engineering electronic engineering information engineeringmulti-criteria decision-makingEntropy (information theory)uncertainty020701 environmental engineeringMutual influenceWater Science and TechnologyConditional entropylcsh:TD201-500Network controlUncertaintyWater distribution networksensitivityPressure sensorOptimal sensor placementwater distribution network020201 artificial intelligence & image processingMATEMATICA APLICADAentropyLeakageWater
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Seed Activation Scheduling for Influence Maximization in Social Networks

2018

This paper addresses the challenge of strategically maximizing the influence spread in a social network, by exploiting cascade propagators termed “seeds”. It introduces the Seed Activation Scheduling Problem (SASP) that chooses the timing of seed activation under a given budget, over a given time horizon, in the presence/absence of competition. The SASP is framed as a blogger-centric marketing problem on a two-level network, where the decisions are made to buy sponsored posts from prominent bloggers at calculated points in time. A Bayesian evidence diffusion model – the Partial Parallel Cascade (PPC) model – allows the network nodes to be partially activated, proportional to their accumulat…

Mathematical optimizationsocial networksInformation Systems and ManagementOperations researchStrategy and ManagementScheduling (production processes)Time horizon02 engineering and technologyBayesian evidenceManagement Science and Operations Researchvaikutteetscheduling (computing)seed selectionsosiaaliset verkostot020204 information systemsvuoronnus0202 electrical engineering electronic engineering information engineeringEconomicsColumn generationta113influencesJob shop schedulingSocial networkbusiness.industryMaximizationmarkkinointimarketing020201 artificial intelligence & image processingbusinessOmega
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OLS Identification of network topologies

2011

Abstract In many applications, it is important to derive information about the topology and the internal connections of more dynamical systems interacting together. Examples can be found in fields as diverse as Economics, Neuroscience and Biochemistry. The paper deals with the problem of deriving a descriptive model of a network, collecting the node outputs as time series with no use of a priori insight on the topology. We cast the problem as the optimization of a cost function where a set of parameters are used to operate a trade-off between accuracy and complexity in the final model. The problem of reducing the complexity is addressed by fixing a certain degree of sparsity and finding the…

Mathematical optimizationtopologyDynamical systems theoryNode (networking)Topology (electrical circuits)topology networks identificationFunction (mathematics)Network topologySet (abstract data type)Identification (information)Settore ING-INF/04 - Automaticatopology; networks; identificationnetworksidentificationA priori and a posterioriMathematicsIFAC Proceedings Volumes
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On attracting sets in artificial networks: cross activation

2018

Mathematical models of artificial networks can be formulated in terms of dynamical systems describing the behaviour of a network over time. The interrelation between nodes (elements) of a network is encoded in the regulatory matrix. We consider a system of ordinary differential equations that describes in particular also genomic regulatory networks (GRN) and contains a sigmoidal function. The results are presented on attractors of such systems for a particular case of cross activation. The regulatory matrix is then of particular form consisting of unit entries everywhere except the main diagonal. We show that such a system can have not more than three critical points. At least n–1 eigenvalu…

Matrix (mathematics)lcsh:T58.5-58.64Mathematical modelDynamical systems theorylcsh:Information technologyComputer scienceQuantitative Biology::Molecular NetworksOrdinary differential equationAttractorSigmoid functionTopologyMain diagonalEigenvalues and eigenvectorsITM Web of Conferences
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