Search results for "LESS"

showing 10 items of 2452 documents

Predictive models for energy saving in Wireless Sensor Networks

2011

ICT devices nowadays cannot disregard optimizations toward energy sustainability. Wireless Sensor Networks, in particular, are a representative class of a technology where special care must be given to energy saving, due to the typical scarcity and non-renewability of their energy sources, in order to enhance network lifetime. In our work we propose a novel approach that aims to adaptively control the sampling rate of wireless sensor nodes using prediction models, so that environmental phenomena can be consistently modeled while reducing the required amount of transmissions; the approach is tested on data available from a public dataset.

Computer sciencebusiness.industryReliability (computer networking)Distributed computingData modelingKey distribution in wireless sensor networksPredictive ModelWirelessEnergy sourcebusinessWireless sensor networkWireless Sensor NetworkEnergy (signal processing)Predictive modellingEnergy Saving.Computer network2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
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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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MEDiSN

2008

Staff shortages and an increasingly aging population are straining the ability of emergency departments to provide high-quality care. Moreover, there is a growing concern about the ability of hospitals to provide effective care during disaster events. Tools that automate patient monitoring would greatly improve efficiency, quality of care, and the volume of patients treated. Towards this goal, we have developed MEDiSN, a wireless sensor network for monitoring patients' vital signs in hospitals and disaster events. MEDiSN consists of Patient Monitors which are custom-built, patient-worn motes that sample, compress and secure medical data, and Relay Points that form a static multi-hop wireles…

Computer sciencebusiness.industryRemote patient monitoringQuality of serviceVital signsVolume (computing)Sample (statistics)Computer securitycomputer.software_genreWirelessbusinesscomputerCollection Tree ProtocolWireless sensor networkProceedings of the 6th ACM conference on Embedded network sensor systems
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A continuous-space analytical approach for relay node placement in hybrid cellular and ad hoc networks

2009

A hybrid network is composed of a cellular component and an ad hoc component connected by a relay node, for the purpose of coverage extension and/or capacity improvement. In this paper, we analyze the capacity of such a hybrid network by employing a continuous-space analytical methodology based on circular geometry for uniformly distributed nodes. To achieve maximal overall capacity, the relay node needs to be placed in an optimum location between the base station and the mobile station located at the boundary of the hybrid network. Numerical results show that for obtaining the optimum overall capacity for the hybrid network, the placement of the relay node should be in a range which is nei…

Computer sciencebusiness.industryWireless ad hoc networkNode (networking)Mobile computinglaw.inventionBase stationChannel capacityRelaylawMobile stationComputer Science::Networking and Internet ArchitecturebusinessRelay channelComputer Science::Information TheoryComputer network2009 6th International Symposium on Wireless Communication Systems
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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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Multivariate statistical technique over QoS variables to analyze video quality metrics on IEEE 802.11ac networks

2017

[EN] We present the results from a measurementbasedperformance evaluation of wireless networks basedon IEEE 802.11ac standard in an indoor environment, withthe aim to analyze their performance under high definitionstreaming video applications. We focus our study on analyzingthe highest performance of these standards using off-theshelfequipment as well as the behavior of Quality of Servicevariables and how they affect to the video quality. Thus, wehave analyzed and measured these variables and have applieda multivariate statistical technique, called Factor Analysis,and finally discuss their behavior.

Computer sciencebusiness.industryWireless networkQuality of servicemedia_common.quotation_subjectVideo quality metricFactor analysiVideo qualitycomputer.software_genreQuality of experienceMultivariate statistical techniqueQuality of serviceIEEE 802.11acQuality (business)TelematicsQuality of experienceTelematicsData miningbusinessFocus (optics)computerComputer networkmedia_commonProceedings XIII Jornadas de Ingenieria Telematica - JITEL2017
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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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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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Efficient Hybrid Emergency Aware MAC Protocol for Wireless Body Sensor Networks

2018

International audience; In Body Sensor Networks (BSNs), two types of events should be addressed: periodic and emergency events. Traffic rate is usually low during periodic observation, and becomes very high upon emergency. One of the main and challenging requirements of BSNs is to design Medium Access Control (MAC) protocols that guarantee immediate and reliable transmission of data in emergency situations, while maintaining high energy efficiency in non-emergency conditions. In this paper, we propose a new emergency aware hybrid DTDMA/DS-CDMA protocol that can accommodate BSN traffic variations by addressing emergency and periodic traffic requirements. It takes advantage of the high delay …

Computer sciencedelayAccess control02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]DTDMAlcsh:Chemical technology01 natural sciencesBiochemistryArticleAnalytical Chemistry[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingBSN[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]energy consumption0202 electrical engineering electronic engineering information engineeringWirelesslcsh:TP1-1185Electrical and Electronic EngineeringInstrumentationMACbusiness.industryNetwork packet010401 analytical chemistryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunicationsEnergy consumption[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationAtomic and Molecular Physics and Optics0104 chemical sciences[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]packet drop[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 networkEfficient energy useComputer networkDS-CDMAOPNETSensors
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