Search results for "Networking & Telecommunications"

showing 10 items of 962 documents

Work Partitioning on Parallel and Distributed Agent-Based Simulation

2017

Work partitioning is a key challenge with ap- plications in many scientific and technological fields. The problem is very well studied with a rich literature on both distributed and parallel computing architectures. In this paper we deal with the work partitioning problem for parallel and distributed agent-based simulations which aims at (i) balancing the overall load distribution, (ii) minimizing, at the same time, the communication overhead due to agents' inter-dependencies. We introduce a classification taxonomy of work partitioning strategies and present a space-based work partitioning ap- proach, based on a Quad-tree data structure, which enables to: identify a good space partitioning …

Theoretical computer scienceComputational complexity theoryComputer Networks and CommunicationsComputer scienceDistributed computingContext (language use)02 engineering and technologyParallel ComputingSynchronization (computer science)0202 electrical engineering electronic engineering information engineeringOverhead (computing)Space partitioningAgent-based simulation020203 distributed computingAgent-based simulations; D-MASON; Distributed Systems; Parallel Computing; Work partitioning; Hardware and Architecture; Computer Networks and Communications; Information SystemsFlocking (behavior)Agent-based simulations020206 networking & telecommunicationsWork partitioningData structureDistributed SystemComputer Networks and CommunicationD-MASONDistributed SystemsHardware and ArchitectureBoidsInformation Systems2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
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On enhancing the object migration automaton using the Pursuit paradigm

2017

Abstract One of the most difficult problems that is all-pervasive in computing is that of partitioning. It has applications in the partitioning of databases into relations, the realization of the relations themselves into sub-relations based on the partitioning of the attributes, the assignment of processes to processors, graph partitioning, and the task assignment problem, etc. The problem is known to be NP-hard. The benchmark solution for this for the Equi-Partitioning Problem (EPP) has involved the classic field of Learning Automata (LA), and the corresponding algorithm, the Object Migrating Automata (OMA) has been used in all of these application domains. While the OMA is a fixed struct…

Theoretical computer scienceGeneral Computer ScienceLearning automatabusiness.industryComputer scienceGraph partition020206 networking & telecommunications02 engineering and technologyObject (computer science)Field (computer science)Theoretical Computer ScienceAutomatonTask (computing)Modeling and Simulation0202 electrical engineering electronic engineering information engineeringBenchmark (computing)020201 artificial intelligence & image processingArtificial intelligencebusinessAssignment problem
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Projector operators in clustering

2016

In a recent paper, the notion of quantum perceptron has been introduced in connection with projection operators. Here, we extend this idea, using these kind of operators to produce a clustering machine, that is, a framework that generates different clusters from a set of input data. Also, we consider what happens when the orthonormal bases first used in the definition of the projectors are replaced by frames and how these can be useful when trying to connect some noised signal to a given cluster. Copyright © 2016 John Wiley & Sons, Ltd.

Theoretical computer scienceGeneral MathematicsGeneral Engineering020206 networking & telecommunications02 engineering and technologyPerceptronlaw.inventionConnection (mathematics)Set (abstract data type)ProjectorlawPattern recognition (psychology)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingOrthonormal basisProjection (set theory)Cluster analysisMathematicsMathematical Methods in the Applied Sciences
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User Grouping and Power Allocation in NOMA Systems: A Reinforcement Learning-Based Solution

2020

In this paper, we present a pioneering solution to the problem of user grouping and power allocation in Non-Orthogonal Multiple Access (NOMA) systems. There are two fundamentally salient and difficult issues associated with NOMA systems. The first involves the task of grouping users together into the pre-specified time slots. The subsequent second phase augments this with the solution of determining how much power should be allocated to the respective users. We resolve this with the first reported Reinforcement Learning (RL)-based solution, which attempts to solve the partitioning phase of this issue. In particular, we invoke the Object Migration Automata (OMA) and one of its variants to re…

Theoretical computer scienceLearning automataComputer science020206 networking & telecommunications02 engineering and technologymedicine.diseaseTask (project management)AutomatonPower (physics)NomaSalient0202 electrical engineering electronic engineering information engineeringmedicineReinforcement learningGreedy algorithm
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Optimizing channel selection for cognitive radio networks using a distributed Bayesian learning automata-based approach

2015

Consider a multi-channel Cognitive Radio Network (CRN) with multiple Primary Users (PUs), and multiple Secondary Users (SUs) competing for access to the channels. In this scenario, it is essential for SUs to avoid collision among one another while maintaining efficient usage of the available transmission opportunities. We investigate two channel access schemes. In the first model, an SU selects a channel and sends a packet directly without Carrier Sensing (CS) whenever the PU is absent on this channel. In the second model, an SU invokes CS in order to avoid collision among co-channel SUs. For each model, we analyze the channel selection problem and prove that it is a so-called "Exact Potent…

Theoretical computer scienceLearning automataComputer sciencebusiness.industryNetwork packet020206 networking & telecommunications02 engineering and technologyBayesian inferenceAutomatonsymbols.namesakeCognitive radioTransmission (telecommunications)Artificial IntelligenceNash equilibrium0202 electrical engineering electronic engineering information engineeringsymbols020201 artificial intelligence & image processingArtificial intelligencebusinessCommunication channelApplied Intelligence
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Descriptional and Computational Complexity of the Circuit Representation of Finite Automata

2018

In this paper we continue to investigate the complexity of the circuit representation of DFA—BC-complexity. We compare it with nondeterministic state complexity, obtain upper and lower bounds which differ only by a factor of 4 for a Binary input alphabet. Also we prove that many simple operations (determining if a state is reachable or if an automaton is minimal) are PSPACE-complete for DFA given in circuit representation.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICESFinite-state machineTheoretical computer scienceComputational complexity theoryComputer science020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyUpper and lower boundsAutomatonNondeterministic algorithmTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESSimple (abstract algebra)0202 electrical engineering electronic engineering information engineeringState (computer science)Representation (mathematics)Computer Science::Formal Languages and Automata Theory
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Automata and forbidden words

1998

Abstract Let L ( M ) be the (factorial) language avoiding a given anti-factorial language M . We design an automaton accepting L ( M ) and built from the language M . The construction is effective if M is finite. If M is the set of minimal forbidden words of a single word ν, the automaton turns out to be the factor automaton of ν (the minimal automaton accepting the set of factors of ν). We also give an algorithm that builds the trie of M from the factor automaton of a single word. It yields a nontrivial upper bound on the number of minimal forbidden words of a word.

TheoryofComputation_COMPUTATIONBYABSTRACTDEVICES[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]Büchi automaton0102 computer and information sciences02 engineering and technologyω-automaton01 natural sciencesTheoretical Computer ScienceCombinatoricsDeterministic automaton0202 electrical engineering electronic engineering information engineeringTwo-way deterministic finite automatonNondeterministic finite automatonMathematicsPowerset constructionLevenshtein automaton020206 networking & telecommunicationsComputer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing)Nonlinear Sciences::Cellular Automata and Lattice GasesComputer Science ApplicationsTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGES010201 computation theory & mathematicsSignal ProcessingProbabilistic automatonComputer Science::Programming LanguagesComputer Science::Formal Languages and Automata TheoryInformation Systems
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Blind Radio Tomography

2018

From the attenuation measurements collected by a network of spatially distributed sensors, radio tomography constructs spatial loss fields (SLFs) that quantify absorption of radiofrequency waves at each location. These SLFs can be used for interference prediction in (possibly cognitive) wireless communication networks, for environmental monitoring or intrusion detection in surveillance applications, for through-the-wall imaging, for survivor localization after earthquakes or fires, etc. The cornerstone of radio tomography is to model attenuation as the bidimensional integral of the SLF of interest scaled by a weight function. Unfortunately, existing approaches (i) rely on heuristic assumpti…

Tomographic reconstructionbusiness.industryComputer scienceAttenuationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION020206 networking & telecommunications02 engineering and technologyInterference (wave propagation)Signal Processing0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingTomographyElectrical and Electronic EngineeringbusinessAlgorithmRadio tomography
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A Battery-free Asset Monitoring System based on RF Wireless Power Transfer

2020

In the Internet of Things (IoT) era, asset monitoring represents an appealing implementation of Wireless Sensor Networks due to the enormous benefits associated with being able to monitor and record the exact position and transportation conditions of assets, personal objects, and the like. This kind of infrastructure enables the provision of increasingly advanced services, including the ability to measure the movement speed of a monitored asset using relatively inexpensive nodes with sensing capabilities and wireless transmission and reception. These nodes would ideally employ battery-free sensors that do not require any maintenance, but conventional power supply management systems cannot s…

TraverseComputer scienceNode (networking)010401 analytical chemistryReal-time computing020206 networking & telecommunications02 engineering and technologySettore ING-IND/32 - Convertitori Macchine E Azionamenti ElettriciAsset (computer security)01 natural sciences0104 chemical sciencesIdentification (information)0202 electrical engineering electronic engineering information engineeringSystem on a chipWireless power transferWireless Power Transfer WPT Wireless Sensor Networks WSNs Radio Frequency Energy Harvesting Wireless Battery Charger Lithium Ion Internet of ThingsWireless sensor networkEnergy harvesting
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IoT-MAAC: Multiple Attribute Access Control for IoT environments

2020

Access Control is an important security service that should be considered in IoT environments in order to offer reliable IoT services. Access control in IoT environments concerns not only the access of IoT users to IoT services and objects, but also the access of IoT objects to IoT gateways. In this paper, we specify an access control mechanism that considers the access of IoT objects to IoT gateways in order to enhance the reliability of IoT data provided by the IoT objects. Our proposed access control mechanism, called IoT-MAAC (Multi Attribute Access Control), allows retrieving requested data from the most reliable and secured IoT objects among the available objects in the IoT environmen…

Trust levelService Level Agreements[INFO.INFO-NI] Computer Science [cs]/Networking and Internet Architecture [cs.NI]Computer sciencebusiness.industryReliability (computer networking)Access ControlIoT environments020206 networking & telecommunicationsAccess control02 engineering and technology[INFO] Computer Science [cs]Security service0202 electrical engineering electronic engineering information engineeringSecurity020201 artificial intelligence & image processingInternet of ThingsbusinessComputer networkMultiple attribute
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