Search results for "Real-time computing"

showing 10 items of 366 documents

Adaptive Low Priority Packet Marking for Better TCP Performance

2003

This paper proposes a packet marking scheme for TCP traffic. Unlike previous literature work, in our scheme the majority of TCP packets are transmitted as high priority. The role of a low priority packet appears that of a probe, whose goal is to early discover network congestion conditions. Low priority packets are marked according to an adaptive marking algorithm. Numerical results show that our scheme provides improved throughput/delay performance.

CUBIC TCPTCP VegasTCP accelerationbusiness.industryComputer scienceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computingTCP tuningTCP global synchronizationTCP Westwood plusTCP Friendly Rate ControlZeta-TCPbusinessComputer network
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ROS/Gazebo Based Simulation of Co-operative UAVs

2019

UAVs can be assigned different tasks such as e.g., rendez-vous and space coverage, which require processing and communication capabilities. This work extends the architecture ROS/Gazebo with the possibility of simulation of co-operative UAVs. We assume UAV with the underlying attitude controller based on the open-source Ardupilot software. The integration of the co-ordination algorithm in Gazebo is implemented with software modules extending Ardupilot with the capability of sending/receiving messages to/from drones, and executing the co-ordination protocol. As far as it concerns the simulation environment, we have extended the world in Gazebo to hold more than one drone and to open a specif…

Co operative0209 industrial biotechnologyComputer sciencebusiness.industryComputer Science (all)Real-time computing020206 networking & telecommunicationsROS/Gazebo02 engineering and technologyPort (computer networking)DroneTheoretical Computer ScienceCo-operative UAVSoftware modulesCo-operative UAVs; ROS/Gazebo; Simulation020901 industrial engineering & automationSoftwareSettore ING-INF/04 - AutomaticaControl theory0202 electrical engineering electronic engineering information engineeringbusinessProtocol (object-oriented programming)SimulationCo-operative UAVs
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Fuzzy-logic-based approach for identifying objects of interest in the PRIDE framework

2008

On-road autonomous vehicle navigation requires real-time motion planning in the presence of static and moving objects. Based on sensed data of the environment and the current traffic situation, an autonomous vehicle has to plan a path by predicting the future location of objects of interest. In this context, an object of interest is a moving or stationary object in the environment that has a reasonable probability of intersecting the path of the autonomous vehicle within a predetermined time frame. This paper investigates the identification of objects of interest within the PRIDE (PRediction In Dynamic Environments) framework. PRIDE is a multi-resolutional, hierarchical framework that predi…

Collision avoidance (spacecraft)Situation awarenessComputer sciencebusiness.industryReal-time computingContext (language use)Object (computer science)Fuzzy logicIdentification (information)RobotComputer visionMotion planningArtificial intelligencebusinessProceedings of the 8th Workshop on Performance Metrics for Intelligent Systems
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Analysis and Evaluation of Adaptive RSSI-based Ranging in Outdoor Wireless Sensor Networks

2019

Estimating inter-node distances based on received radio signal strength (RSSI) is the foundation of RSSI-based outdoor localization in wireless sensor networks (WSNs). However, the accuracy of RSSI-based ranging depends on environmental and weather conditions. Therefore, it is important that RSSI-based ranging adapts to prevailing conditions to improve its range and location accuracy. This paper analyzes and evaluates RSSI-based ranging and adaptive techniques in outdoor WSNs to improve the range quality. The findings highlight the effects of path loss exponent (PLE) estimation error and temperature change on RSSI-based ranging. Consequently, we analyze techniques for mitigating these detri…

Computer Networks and CommunicationsComputer scienceReal-time computing02 engineering and technology01 natural scienceslocalizationCompensation (engineering)wireless sensor network0202 electrical engineering electronic engineering information engineeringRange (statistics)ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSta213010401 analytical chemistryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSpaikannussensoriverkottemperature020206 networking & telecommunicationsRanging0104 chemical sciencesHardware and Architecturelämpötilapath loss exponentWireless sensor networkSoftwarelangattomat verkot
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Cluster-based RF fingerprint positioning using LTE and WLAN signal strengths

2017

Wireless Local Area Network (WLAN) positioning has become a popular localization system due to its low-cost installation and widespread availability of WLAN access points. Traditional grid-based radio frequency (RF) fingerprinting (GRFF) suffers from two drawbacks. First it requires costly and non-efficient data collection and updating procedure; secondly the method goes through time-consuming data pre-processing before it outputs user position. This paper proposes Cluster-based RF Fingerprinting (CRFF) to overcome these limitations by using modified Minimization of Drive Tests data which can be autonomously collected by cellular operators from their subscribers. The effect of environmental…

Computer Networks and CommunicationsComputer scienceReal-time computingK-means clustering02 engineering and technologySignallaw.inventionK-nearest neighbors0203 mechanical engineeringlaw0202 electrical engineering electronic engineering information engineeringfuzzy C-means clusteringWi-FiElectrical and Electronic EngineeringData collectionbusiness.industryFingerprint (computing)k-means clusteringRF fingerprint positioning020206 networking & telecommunications020302 automobile design & engineeringGridHardware and ArchitectureEmbedded systemMinificationRadio frequencybusinesshierarchical clustering
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Moving Learning Machine Towards Fast Real-Time Applications: A High-Speed FPGA-based Implementation of the OS-ELM Training Algorithm

2018

Currently, there are some emerging online learning applications handling data streams in real-time. The On-line Sequential Extreme Learning Machine (OS-ELM) has been successfully used in real-time condition prediction applications because of its good generalization performance at an extreme learning speed, but the number of trainings by a second (training frequency) achieved in these continuous learning applications has to be further reduced. This paper proposes a performance-optimized implementation of the OS-ELM training algorithm when it is applied to real-time applications. In this case, the natural way of feeding the training of the neural network is one-by-one, i.e., training the neur…

Computer Networks and CommunicationsComputer scienceReal-time computingParameterized complexitylcsh:TK7800-836002 engineering and technologyextreme learning machine0202 electrical engineering electronic engineering information engineeringSensitivity (control systems)Electrical and Electronic EngineeringEnginyeria d'ordinadorsField-programmable gate arrayFPGAExtreme learning machineEnginyeria elèctricaArtificial neural networkData stream mininglcsh:Electronics020206 networking & telecommunicationsOS-ELMreal-time learningHardware and ArchitectureControl and Systems Engineeringon-chip trainingSignal Processingon-line learning020201 artificial intelligence & image processingDistributed memoryonline sequential ELMhardware implementationAlgorithm
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Adaptive time window linear regression algorithm for accurate time synchronization in wireless sensor networks

2015

In this article we propose a new algorithm for time synchronization in wireless sensor networks. The algorithm is based on linear regression to achieve long-term synchronization between the clocks of different network motes. Since motes are built using low-cost hardware components, usually their internal local clocks are not very accurate. In addition, there are other effects that affect the clock precision, such as: environmental conditions, supply voltage, aging, manufacturing process. Because some of these causes are external and unpredictable, the clock drift between two motes can change in a random way. Due to these changes, the optimum time window used for performing the linear regres…

Computer Networks and CommunicationsHardware and ArchitectureComputer scienceWork (physics)Clock driftLinear regressionReal-time computingWindow (computing)Wireless sensor networkAlgorithmSoftwareClock synchronizationSynchronizationAd Hoc Networks
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Indoor localization using time difference of arrival with UWB signals and unsynchronized devices

2020

Abstract Indoor location using radio frequency (RF) signals has been traditionally focused mainly on RSSI and fingerprint techniques, because methods based on time of arrival (ToA) or time difference of arrival (TDoA) were not suitable for measuring short distances. However, the release of the IEEE 802.15.4a standard, the emergence of commercial ultra wide band (UWB) transceivers that are compliant to this norm and the integration of high frequency oscillators have permitted the design of more accurate indoor localization systems using the RF signal transmission time. In this paper, we propose an indoor localization system based on TDoA for UWB. The method implements an only one way transmi…

Computer Networks and CommunicationsNetwork packetComputer science010401 analytical chemistryReal-time computingUltra-wideband020206 networking & telecommunicationsRanging02 engineering and technologyMultilateration01 natural sciences0104 chemical sciencesTime of arrivalHardware and Architecture0202 electrical engineering electronic engineering information engineeringRadio frequencyTransmission timeTransceiverSoftwareAd Hoc Networks
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Design and performance evaluation of an hybrid reservation-polling MAC protocol for power-line communications

2003

This paper presents an hybrid reservation-polling MAC protocol able to effectively deal with the channel disturbances typical of Power-line communication systems. Channel access is controlled by a scheduler running on a centralized station. Fast retransmission of corrupted packets is employed to achieve high performance on Power-line channels characterized by frequent error bursts due to impulsive noise. The performance of our proposed mechanism are evaluated by means of simulation, for the more challenging case of time-sensitive traffic sources (voice calls). Results show that the system efficiency is virtually not affected by lightly to moderately disturbed PLC channel. Moreover, by sligh…

Computer Networks and CommunicationsNetwork packetComputer sciencebusiness.industryRetransmissionReal-time computingReservationCommunications systemNoise (electronics)Packet lossElectrical and Electronic EngineeringPollingbusinessComputer networkCommunication channelInternational Journal of Communication Systems
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A holistic modeling for QoE estimation in live video streaming applications over LTE Advanced technologies with Full and Non Reference approaches

2018

Abstract Current mobile networks are providing high speed access to Internet at a rate of Gigabits per second. In this scenario, traditional services over wired networks are an alternative, in particular those based on live video streaming. But in the transition, different issues should be considered due to the rapid changing network conditions and the limited resources of the mobile devices. These issues should be taken into account to keep a good Quality of Experience (QoE) of the video in terms of a high Mean Opinion Score (MOS), a subjective video quality. Our goal is to estimate and predict this subjective metric in a holistic manner. Thus, we have analyzed and measured different varia…

Computer Networks and Communicationsbusiness.industryComputer scienceQuality of serviceMean opinion scoreReal-time computing020206 networking & telecommunications02 engineering and technologyVideo qualityLTE Advanced0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingThe InternetQuality of experiencebusinessMobile deviceSubjective video qualityComputer Communications
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