Search results for "TELECOMMUNICATIONS"

showing 10 items of 1639 documents

Editorial Article for Open Journal of Antennas and Propagation

2013

Antennas help communicate the World. Antennas make possible that millions of people can watch the Champions League. Antennas allow the positioning of billions of vehicles around our planet. And they also allow handling vehicles through our neighbor planets. By propagating waves through antennas you can send huge amounts of data in milliseconds. Besides, you can also tell somebody that you love him or her. Antennas have allowed communicate the people in these places where cables cannot. But antennas are not only used for communication. Antennas can be used for heating food, for detecting people, for guiding vessels, for founding treasures, for monitoring breath, for harvesting energy and so …

Computer sciencebusiness.industryProcess (engineering)media_common.quotation_subjectField (computer science)Order (exchange)Modelling methodsWirelessQuality (business)Antenna (radio)TelecommunicationsbusinessBeam controlmedia_commonOpen Journal of Antennas and Propagation
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Study of transmission parameters under controlled multipath environment using Rasp Pi3

2018

The evaluation of QoS in mobile multipath environments is an interesting topic in modern communications. The use of Raspberry Pi as a low cost microcomputer board developed in the United Kingdom by the Raspberry Pi Foundation can be helpful in onsite deployments. The Pi3 model has integrated WiFi and Bluetooth connectivity and also 4 USB ports to expand the device with all kinds of peripheral. Under the premise of offering the power of a computer at low prices, this device is one of the most affordable ways to have a particularly efficient and dynamic hardware accessible at a low price to develop a Wireless Sensor Netwok (WSN). The use of the Raspberry Pi3 permits the development of a power…

Computer sciencebusiness.industryQuality of serviceComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunications02 engineering and technologyUSBlaw.inventionBluetoothBase stationlawMicrocomputer0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingbusinessWireless sensor networkComputer hardwareMultipath propagationProceedings of the Euro American Conference on Telematics and Information Systems
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A new autonomous data transmission reduction method for wireless sensors networks

2018

International audience; The inherent limitation in energy resources and computational power for sensor nodes in a Wireless Sensor Network, poses the challenge of extending the lifetime of these networks. Since radio communication is the dominant energy consuming activity, most presented approaches focused on reducing the number of data transmitted to the central workstation. This can be achieved by deploying both on the workstation and the sensor node a synchronized prediction model capable of forecasting future values. Thus, enabling the sensor node to transmit only the values that surpasses a predefined error threshold. This mechanism offers a decrease in the cost of transmission energy f…

Computer sciencebusiness.industryReal-time computing020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technology[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation7. Clean energy[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingReduction (complexity)[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]Transmission (telecommunications)[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]020204 information systemsSensor node0202 electrical engineering electronic engineering information engineeringWireless[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET][INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]businessWireless sensor networkEnergy (signal processing)Data transmissionData reduction2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Wireless strain gauge network — Best-hall measurement case

2014

Wireless sensor networks can be used to perform structural monitoring. Strain gauges, which can be glued on or integrated to the observed material, are the most common nondestructive sensing elements for measuring surface strain. Wireless strain gauge measurement system makes strain measurements more flexible while opening new targets of application in addition to those that traditional wired strain measuring systems can offer. We have implemented a long term strain measurement in a PVC-covered hall using wireless sensor network. In this paper we evaluate the functionality and suitability of the developed wireless system for this kind of monitoring. The paper discusses the experiences gaine…

Computer sciencebusiness.industryReliability (computer networking)System of measurementCalibrationElectronic engineeringWirelessEnergy consumptionbusinessTelecommunicationsTemperature measurementWireless sensor networkStrain gauge2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)
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Parameter optimization for amplify-and-forward relaying systems with pilot symbol assisted modulation scheme

2009

Article published in the journal:Wireless Sensor Network Also available from publisher: http://dx.doi.org/10.4236/wsn.2009.11003 Cooperative diversity is a promising technology for future wireless networks. In this paper, we consider a cooperative communication system operating in an amplify-and-forward (AF) mode with a pilot symbol assisted modulation (PSAM) scheme. It is assumed that a linear minimum mean square estimator (LMMSE) is used for the channel estimation at the receiver. A simple and easy-to-evaluate asymptotical upper bound (AUB) of the symbol-error-rate (SER) is derived for uncoded AF cooperative communication systems with quadrature amplitude modulation (QAM) constellations. …

Computer sciencebusiness.industryWiener filterEstimatorCommunications systemUpper and lower boundsCooperative diversityQAMsymbols.namesakeControl theoryVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552symbolsOverhead (computing)TelecommunicationsbusinessQuadrature amplitude modulationComputer Science::Information Theory
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An Integrated Wireless Communication Architecture for Maritime Sector

2011

Published version of a chapter in the book: Multiple Access Communications. Also available from the publisher at http://dx.doi.org/10.1007/978-3-642-23795-9_17 The rapid evolution of terrestrial wireless systems has brought mobile users more and more desired communication services. Maritime customers are asking for the same, such as the concepts of “Broadband at Sea” and “Maritime Internet”. Quite a lot of research work has focused on the development of new and better maritime communication technologies, but less attention has been paid on interworking of multiple maritime wireless networks or on satisfying service provisioning. To address this, an integrated wireless Communication Architec…

Computer sciencebusiness.industryWireless networkInmarsat-CHandoverVDP::Technology: 500::Information and communication technology: 550::Telecommunication: 552BroadbandWirelessThe InternetQuality of experienceArchitectureTelecommunicationsbusinesscommunication architecture network integration maritime
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Cooperative compressive power spectrum estimation in wireless fading channels

2017

This paper considers multiple wireless sensors that cooperatively estimate the power spectrum of the signals received from several sources. We extend our previous work on cooperative compressive power spectrum estimation to accommodate the scenario where the statistics of the fading channels experienced by different sensors are different. The signals received from the sources are assumed to be time-domain wide-sense stationary processes. Multiple sensors are organized into several groups, where each group estimates a different subset of lags of the temporal correlation. A fusion centre (FC) combines these estimates to obtain the power spectrum. As each sensor group computes correlation esti…

Computer sciencebusiness.industrycorrelation lagSub-Nyquist samplingEstimatorSpectral densityfading020206 networking & telecommunicationsmulticoset sampling02 engineering and technologypower spectrumSignalwide-sense stationarycooperative estimationComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringWireless020201 artificial intelligence & image processingFadingUniquenessNyquist ratebusinessAlgorithmWireless sensor network2017 International Conference on Electrical Engineering and Informatics (ICELTICs)
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Does Wake-Up Radio Always Consume Lower Energy Than Duty-Cycled Protocols?

2017

Many recent studies anticipate that wake-up radio (WuR) will replace traditional duty-cycled (DC) protocols given its overwhelming performance superiority on energy consumption. Meanwhile, the question on whether WuR performs always better than DC protocols has not been answered explicitly. In this paper, we investigate in-depth the energy consumption performance of WuR by considering various levels of traffic load in a wireless sensor network. By comparing SCM-WuR with both synchronous MAC (S-MAC) and asynchronous MAC (X-MAC), we ascertain that SCM-WuR does consume orders of magnitude lowerenergythanDCprotocolswhentrafficloadislow.Howe ver, our numerical results reveal at the same time that …

Computer sciencebusiness.industrymedia_common.quotation_subject020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyEnergy consumptionWakeSynchronizationOrders of magnitude (bit rate)Asynchronous communicationRange (aeronautics)0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkDutymedia_commonComputer network2017 IEEE 86th Vehicular Technology Conference (VTC-Fall)
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Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks.

2020

Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of spectrum resources and the inefficiency of spectrum utilization. However, the SUs suffer from frequent spectrum handoffs and transmission limitations. In this paper, considering the quality of service (QoS) requirements of PUs and SUs, we propose a novel dynamic flow-adaptive spectrum leasing with channel aggregation. Specifically, we design an adaptive leasing algorithm, which adaptively adjusts the portion of leased channels based on the number of ongoing and buffered PU …

Computer sciencechannel aggregating02 engineering and technologyBlocking (statistics)lcsh:Chemical technologyBiochemistryArticleAnalytical Chemistry0203 mechanical engineeringflow-adaptive spectrum leasing0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550business.industryQuality of serviceSpectrum (functional analysis)020302 automobile design & engineering020206 networking & telecommunicationsAtomic and Molecular Physics and OpticsCognitive radioTransmission (telecommunications)Flow (mathematics)cognitive radio networksbusinessCommunication channelComputer networkSensors (Basel, Switzerland)
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Implementation and Deployment Evaluation of the DMAMAC Protocol for Wireless Sensor Actuator Networks

2016

Abstract The increased application of wireless technologies including Wireless Sensor Actuator Networks (WSAN) in industry has given rise to a plethora of protocol designs. These designs target metrics ranging from energy efficiency to real-time constraints. Protocol design typically starts with a requirements specification, and continues with analytic and model-based simulation analysis. State-of- the-art network simulators provide extensive physical environment emulation, but still have limitations due to model abstractions. Deployment testing on actual hardware is therefore vital in order to validate implementability and usability in the real environment. The contribution of this article…

Computer sciencecomputer.internet_protocolTime division multiple accessWireless Routing Protocol02 engineering and technologyPacket lossWireless sensor networks and applications0202 electrical engineering electronic engineering information engineeringWirelessSuperframeNetwork architecture and designProtocol (object-oriented programming)Communication protocols.General Environmental ScienceEmulationbusiness.industry020206 networking & telecommunicationsKey distribution in wireless sensor networksEmbedded systemInternetwork protocolGeneral Earth and Planetary Sciences020201 artificial intelligence & image processingCommunications protocolbusinesscomputerReverse Address Resolution ProtocolEfficient energy useProcedia Computer Science
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