Search results for "wireless sensor"

showing 10 items of 375 documents

Cooperative or non-cooperative transmission in synchronous DC WSNs: A DTMC-based approach

2017

Cooperative transmission (CT) enables balanced energy consumption among sensor nodes and mitigates the energy hole problem in wireless sensor networks (WSNs). In typical CT enabled medium access control (MAC) protocols, a source node decides to trigger CT or not based on a residual energy comparison between itself and its relay node. In this paper, we propose a receiver initiated CT MAC protocol, in which the receiving node makes the decision on initiating CT or not based on a tradeoff between performing CT and non-CT. In this way, nodes can avoid idle listening and achieve an extended lifetime. A discrete-time Markov chain (DTMC) model is developed to analyze the performance of CT associat…

Computer sciencebusiness.industryNode (networking)05 social sciencesReal-time computing050801 communication & media studies020206 networking & telecommunications02 engineering and technologyEnergy consumptionSynchronizationlaw.invention0508 media and communicationsTransmission (telecommunications)RelaylawComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkEnergy (signal processing)Computer networkEfficient energy use2017 IEEE International Conference on Communications (ICC)
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Maximum Lifetime of the Wireless Sensor Network and the Gossip Problem

2018

In the gossip problem each node of the graph G possesses a unique piece of information - the gossip message. A sequence of one-way or two-way communications between pair of nodes is made to spread the messages so that any node of the graph knows all the gossips. The question is, what is the minimum number of calls between pairs of nodes needed to exchange all gossip messages? The solution to the two-way communication gossip problem is that \(2N-4\) calls (\(N\ge 4\)) suffice if and only if the graph contains a four cycle subgraph. For one-way communication problem the classical results states that in a strongly connected graph \(2N-2\) calls (\(N\ge 4\)) suffice. In this paper we consider t…

Computer sciencebusiness.industryNode (networking)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSEnergy management020206 networking & telecommunicationsContext (language use)02 engineering and technologyLoad balancing (computing)Transmission (telecommunications)Gossip0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)Sensor network lifetime020201 artificial intelligence & image processingGossipingbusinessWireless sensor networkConnectivityComputer network
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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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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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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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