Search results for "Wire"

showing 10 items of 1383 documents

Field estimation in wireless sensor networks using distributed kriging

2012

In this paper, we tackle the problem of spatial interpolation for distributed estimation in Wireless Sensor Networks by using a geostatistical technique called kriging. We present a novel Distributed Iterative Kriging Algorithm (DIKA) which is composed of two main phases. First, the spatial dependence of the field is exploited by calculating semivariograms in an iterative way. Second, the kriging system of equations is solved by an initial set of nodes in a distributed manner, providing some initial interpolation weights to each node. In our algorithm, the estimation accuracy can be improved by iteratively adding new nodes and updating appropriately the weights, which leads to a reduction i…

Mathematical optimizationComputer scienceNode (networking)020206 networking & telecommunications02 engineering and technologySystem of linear equationsMultivariate interpolationReduction (complexity)Kriging0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSpatial dependenceCluster analysisAlgorithmWireless sensor networkInterpolation2012 IEEE International Conference on Communications (ICC)
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Performance modeling of epidemic routing

2006

In this paper, we develop a rigorous, unified framework based on ordinary differential equations (ODEs) to study epidemic routing and its variations. These ODEs can be derived as limits of Markovian models under a natural scaling as the number of nodes increases. While an analytical study of Markovian models is quite complex and numerical solution impractical for large networks, the corresponding ODE models yield closed-form expressions for several performance metrics of interest, and a numerical solution complexity that does not increase with the number of nodes. Using this ODE approach, we investigate how resources such as buffer space and the number of copies made for a packet can be tra…

Mathematical optimizationComputingMethodologies_SIMULATIONANDMODELINGComputer Networks and CommunicationsDifferential equationComputer scienceWireless ad hoc networkNetwork packetNumerical analysisMathematicsofComputing_NUMERICALANALYSISOdeMarkov processMarkov modelsymbols.namesakeOrdinary differential equationMetric (mathematics)symbolsRouting (electronic design automation)ScalingSimulation
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Dealing with uncertainty in consensus protocols

2009

Recent results on consensus protocols for networks are presented. The basic tools and the main contribution available in the literature are considered, together with some of the related challenging aspects: estimation in networks and how to deal with disturbances is considered. Motivated by applications to sensor, peer-to-peer, and ad hoc networks, many papers have considered the problem of estimation in a consensus fashion. Here, the Unknown But Bounded (UBB) noise affecting the network is addressed in details. Because of the presence of UBB disturbances convergence to equilibria with all equal components is, in general, not possible. The solution of the e-consensus problem, where the stat…

Mathematical optimizationConsensusWireless ad hoc networkComputer scienceDistributed computingBounded functionConvergence (routing)Consensus protocol; optimizazion; disturbancesNoise (video)Laplacian matrixFocus (optics)Uniform consensus
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Best compromise solution for a new multiobjective scheduling problem

2006

In future wireless networks, a mobile terminal will be able to communicate with a service provider using several network connections. These connections to networks will have different properties and they will be priced separately. In order to minimize the total communication time and the total transmission costs, an automatic method for selecting the network connections is needed. Here, we describe the network connection selection problem and formulate it mathematically. We discuss solving the problem and analyse different multiobjective optimization approaches for it.

Mathematical optimizationGeneral Computer ScienceJob shop schedulingWireless networkComputer scienceModeling and SimulationManagement Science and Operations ResearchService providerTransmission timeMulti-objective optimizationTelecommunications networkAssignment problemScheduling (computing)Computers & Operations Research
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On the approximability of the range assignment problem on radio networks in presence of selfish agents

2005

AbstractWe consider the range assignment problem in ad-hoc wireless networks in the context of selfish agents: A network manager aims to assigning transmission ranges to the stations in order to achieve strong connectivity of the network within a minimal overall power consumption. Station is not directly controlled by the manager and may refuse to transmit with a certain transmission range because it might be costly in terms of power consumption.We investigate the existence of payment schemes which induce the stations to follow the decisions of a network manager in computing a range assignment, that is, truthful mechanisms for the range assignment problem. We provide both positive and negat…

Mathematical optimizationGeneral Computer ScienceSettore INF/01 - Informaticabusiness.industryWireless networkApproximation algorithmContext (language use)Approximation algorithmsTheoretical Computer ScienceNetwork managementAlgorithmic mechanism design; Energy consumption in wireless networks; Approximation algorithmsEnergy consumption in wireless networksalgorithmic mechanism design; approximation algorithms; energy consumption in wireless networksbusinessTime complexityAssignment problemAlgorithmConnectivityAlgorithmic mechanism designAlgorithmic mechanism designMathematicsComputer Science(all)Theoretical Computer Science
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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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Energy-Efficient Resource Optimization with Wireless Power Transfer for Secure NOMA Systems

2018

In this paper, we investigate resource allocation algorithm design for secure non-orthogonal multiple access (NOMA) systems empowered by wireless power transfer. With the consideration of an existing eavesdropper, the objective is to obtain secure and energy efficient transmission among multiple users by optimizing time, power and subchannel allocation. Moreover, we also take into consideration for the practical case that the statistics of the channel state information of the eavesdropper is not available. In order to address the optimization problem and its high computational complexity, we propose an iterative algorithm with guaranteed convergence to deliver a suboptimal solution for gene…

Mathematical optimizationOptimization problemIterative methodComputer sciencewireless power transfer02 engineering and technologysecuritylangaton tiedonsiirto0203 mechanical engineeringoptimointi0202 electrical engineering electronic engineering information engineeringWirelessResource managementresource managementreceiversta213business.industryturvallisuusNOMA020206 networking & telecommunications020302 automobile design & engineeringwireless communicationChannel state informationlangaton viestintäResource allocationbusinessoptimizationEfficient energy use
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A heuristic for fast convergence in interference-free channel assignment using D1EC coloring

2010

This work proposes an efficient method for solving the Distance-1 Edge Coloring problem (D1EC) for the assignment of orthogonal channels in wireless networks with changing topology. The coloring algorithm is performed by means of the simulated annealing method, a generalization of Monte Carlo methods for solving combinatorial problems. We show that the simulated annealing-based coloring converges fast to a suboptimal coloring scheme. Furthermore, a stateful implementation of the D1EC scheme is proposed, in which network coloring is executed upon topology changes. The stateful D1EC is also based on simulated annealing and reduces the algorithm’s convergence time by one order of magnitude in …

Mathematical optimizationSettore ING-INF/03 - TelecomunicazioniComputer scienceHeuristic (computer science)Wireless networkTopology (electrical circuits)[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationGreedy coloringEdge coloringStateful firewallSimulated annealingConvergence (routing)Channel assignment Edge coloring Simulated annealing.Algorithm
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Energy Efficient Consensus Over Complex Networks

2015

The need to extract large amounts of information from the environment to have precise situation awareness and then react appropriately to certain events has led to the emergence of complex and heterogeneous sensor networks. In this context, where the sensor nodes are usually powered by batteries, the design of new methods to make inference processes efficient in terms of energy consumption is necessary. One of these processes, which is present in many distributed tasks performed by these complex networks, is the consensus process. This is the basis for certain tracking algorithms in monitoring and control applications. To improve the energy efficiency of this process, in this paper we propo…

Mathematical optimizationSpatial networkComputer scienceDistributed computingSignal ProcessingLogical topologyEnergy consumptionElectrical and Electronic EngineeringHierarchical network modelComplex networkNetwork topologyWireless sensor networkEfficient energy useIEEE Journal of Selected Topics in Signal Processing
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Stationarity Test for Wireless Communication Channels

2009

In this article, we propose a new test to determine the intervals of stationarity for wireless communication channels. The intervals of stationarity are identified by comparing the delay power spectral density (PSD) estimated at different time instances. The performance of the proposed stationarity test has been evaluated based on the synthetic data generated using a channel simulator. The analysis of the stationarity intervals for two radio communication channels measured in different propagation scenarios reveals that the number and the length of the stationarity intervals decrease as the dimensions of the channel matrix increase.

Matrix (mathematics)business.industryComputer scienceMIMOWirelessSpectral densitybusinessTelecommunicationsAlgorithmComputer Science::Information TheoryCommunication channelGLOBECOM 2009 - 2009 IEEE Global Telecommunications Conference
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