Search results for "Wireless Sensor Network"

showing 10 items of 363 documents

Near field improvements of stochastic collaborative beamforming in wireless sensor networks

2020

Wireless sensor networks (WSN) are groups of small devices that contain a microcontroller in which a large number of sensors can be added. They transmit data and communicate to each other in the ISM band, standard IEEE 802.15.4, exchanging packets using a multi-hop routing. These devices are named motes and are nodes of the WSN. They are very simple and easy to program, powered by batteries of 1.5Volts (AA and AAA). The nodes are autonomous elements that can be deployed implementing any type of network. In a typical deployment the nodes communicate with each other and with a master node or Base Station (BS), which in turn transmits the information to an external server, which collects the e…

Beamforming020203 distributed computingNetwork packetbusiness.industryComputer scienceNode (networking)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS02 engineering and technologySynchronizationBase stationTransmission (telecommunications)0202 electrical engineering electronic engineering information engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS020201 artificial intelligence & image processingbusinessWireless sensor networkISM bandComputer networkProceedings of the 10th Euro-American Conference on Telematics and Information Systems
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Practical Considerations in the Implementation of Collaborative Beamforming on Wireless Sensor Networks

2017

Wireless Sensor Networks (WSNs) are composed of spatially distributed autonomous sensor devices, named motes. These motes have their own power supply, processing unit, sensors and wireless communications However with many constraints, such as limited energy, bandwidth and computational capabilities. In these networks, at least one mote called a sink, acts as a gateway to connect with other networks. These sensor networks run monitoring applications and then the data gathered by these motes needs to be retrieved by the sink. When this sink is located in the far field, there have been many proposals in the literature based on Collaborative Beamforming (CB), also known as Distributed or Cooper…

BeamformingEngineering02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryDefault gateway0202 electrical engineering electronic engineering information engineeringWirelesslcsh:TP1-1185ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic Engineeringwireless sensor networksInstrumentationbusiness.industryBandwidth (signal processing)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKScollaborative beamforming020206 networking & telecommunicationsAtomic and Molecular Physics and OpticsPower (physics)cooperative beamforming020201 artificial intelligence & image processingSink (computing)businessWireless sensor networkdistributed beamformingEnergy (signal processing)Computer networkSensors
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Stochastic Collaborative Beamforming in Wireless Sensor Networks

2018

Wireless Sensor Networks (WSNs) are composed of spatially distributed autonomous sensor devices, named motes. These devices are constituted by a microcontroller, sensors, and they have the ability to communicate in the ISM frequency band using the IEEE 802.15.4 standard. They have their own power supply, AA or AAA batteries, processing unit, sensors and wireless communications. Usually, the motes exchange packets using a multihop routing, and the maximum communication distance emitter-receiver is around 100m. At least one mote acts as a gateway, and the data gathered by the sensors of each mote have to be sent to this mote that is named sink or Base Station (BS). In a WSN the BS is within t…

Beamformingbusiness.industryComputer scienceNetwork packetComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS020206 networking & telecommunications020302 automobile design & engineering02 engineering and technologySynchronizationBase station0203 mechanical engineeringTransmission (telecommunications)Default gateway0202 electrical engineering electronic engineering information engineeringWirelessComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSbusinessWireless sensor networkComputer networkProceedings of the Euro American Conference on Telematics and Information Systems
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Detecting faulty wireless sensor nodes through Stochastic classification

2011

In many distributed systems, the possibility to adapt the behavior of the involved resources in response to unforeseen failures is an important requirement in order to significantly reduce the costs of management. Autonomous detection of faulty entities, however, is often a challenging task, especially when no direct human intervention is possible, as is the case for many scenarios involving Wireless Sensor Networks (WSNs), which usually operate in inaccessible and hostile environments. This paper presents an unsupervised approach for identifying faulty sensor nodes within a WSN. The proposed algorithm uses a probabilistic approach based on Markov Random Fields, requiring exclusively an ana…

Brooks–Iyengar algorithmComputer scienceDistributed computingReal-time computingProbabilistic logicMarkov processMarkov Random Fieldsymbols.namesakeKey distribution in wireless sensor networksWireless Sensor Networks.Autonomic ComputingSensor nodesymbolsOverhead (computing)Algorithm designWireless sensor network2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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Distributed Pseudo-Gossip Algorithm and Finite-Length Computational Codes for Efficient In-Network Subspace Projection

2013

In this paper, we design a practical power-efficient algorithm for Wireless Sensor Networks (WSN) in order to obtain, in a distributed manner, the projection of an observed sampled spatial field on a subspace of lower dimension. This is an important problem that is motivated in various applications where there are well defined subspaces of interest (e.g., spectral maps in cognitive radios). As opposed to traditional Gossip Algorithms used for subspace projection, where separation of channel coding and computation is assumed, our algorithm combines binary finite-length Computational Coding and a novel gossip-like protocol with certain communication rules, achieving important savings in conve…

Cognitive radioTheoretical computer scienceComputationSignal ProcessingBinary numberEnergy consumptionElectrical and Electronic EngineeringLinear subspaceWireless sensor networkAlgorithmSubspace topologyMathematicsCoding (social sciences)IEEE Journal of Selected Topics in Signal Processing
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Practical considerations for acoustic source localization in the IoT era: Platforms, energy efficiency, and performance

2019

The rapid development of the Internet of Things (IoT) has posed important changes in the way emerging acoustic signal processing applications are conceived. While traditional acoustic processing applications have been developed taking into account high-throughput computing platforms equipped with expensive multichannel audio interfaces, the IoT paradigm is demanding the use of more flexible and energy-efficient systems. In this context, algorithms for source localization and ranging in wireless acoustic sensor networks can be considered an enabling technology for many IoT-based environments, including security, industrial, and health-care applications. This paper is aimed at evaluating impo…

Computer Networks and CommunicationsComputer scienceDistributed computingContext (language use)02 engineering and technologyParallel architectures0202 electrical engineering electronic engineering information engineeringParallel processingWirelessSignal processingMulti-core processorHeterogeneous (hybrid) systemsbusiness.industry020206 networking & telecommunicationsAcoustic source localizationWireless acoustic sensor networks (WASNs)Computer Science ApplicationsEnergy efficiencyHardware and ArchitectureSignal Processing020201 artificial intelligence & image processingElectrónicabusinessWireless sensor networkSource localizationInformation SystemsEfficient energy useAcoustic signal processing
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A Battery-Free Smart Sensor Powered with RF Energy

2018

The development of Internet of Things (IoT) infrastructure and applications is stimulating advanced and innovative ideas and solutions, some of which are pushing the limits of state-of-the-art technology. The increasing demand for Wireless Sensor Network (WSN) that must be capable of collecting and sharing data wirelessly while often positioned in places hard to reach and service, motivates engineers to look for innovative energy harvesting and wireless power transfer solutions to implement battery-free sensor nodes. Due to the pervasiveness of RF (Radio Frequency) energy, RF harvesting that can reach out-of-sight places could be a key technology to wirelessly power IoT sensor devices, whic…

Computer Networks and CommunicationsComputer scienceInternet of ThingsEnergy Engineering and Power TechnologyRadio Frequency HarvestingIndustrial and Manufacturing EngineeringArtificial IntelligenceWireless Battery ChargerWirelessRenewable EnergyWireless power transferInstrumentationSustainability and the Environmentbusiness.industryRF power amplifierTransmitterElectrical engineeringComputer Science Applications1707 Computer Vision and Pattern RecognitionInternet of Things; Litium Ion Battery; Radio Frequency Harvesting; Wireless Battery Charger; Wireless Power Transfer; Wireless Sensor Networks; Artificial Intelligence; Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Energy Engineering and Power Technology; Renewable Energy Sustainability and the Environment; Industrial and Manufacturing Engineering; InstrumentationSensor nodeLitium Ion BatteryWireless Power TransferRadio frequencyInternet of ThingWireless Sensor NetworksbusinessEnergy harvestingWireless sensor network2018 IEEE 4th International Forum on Research and Technology for Society and Industry (RTSI)
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Secure random number generation in wireless sensor networks

2014

The increasing adoption of wireless sensor networks as a flexible and inexpensive tool for the most diverse applications, ranging from environmental monitoring to home automation, has raised more and more attention to the issues related to the design of specifically customized security mechanisms. The scarcity of computational, storage, and bandwidth resources cannot definitely be disregarded in such context, and this makes the implementation of security algorithms particularly challenging. This paper proposes a security framework for the generation of true random numbers, which are paramount as the core building block for many security algorithms; the intrinsic nature of wireless sensor no…

Computer Networks and CommunicationsComputer scienceRandom number generationNetwork securitybusiness.industryDistributed computingRangingComputer Science ApplicationsTheoretical Computer ScienceKey distribution in wireless sensor networksComputational Theory and MathematicsRobustness (computer science)Home automationWirelessbusinessWireless sensor networkSoftwareConcurrency and Computation: Practice and Experience
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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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A group-based wireless body sensors network using energy harvesting for soccer team monitoring

2016

[EN] In team-based sports, it is difficult to monitor physical state of each athlete during the match. Wearable body sensors with wireless connections allow having low-power and low-size devices, that may use energy harvesting, but with low radio coverage area but the main issue comes from the mobility. This paper presents a wireless body sensors network for soccer team players' monitoring. Each player has a body sensor network that use energy harvesting and each player will be a node in the wireless sensor network. This proposal is based on the zone mobility of the players and their dynamism. It allows knowing the physical state of each player during the whole match. Having fast updates an…

Computer Networks and CommunicationsComputer scienceWearable computer02 engineering and technologyGroup-based wireless sensor networkTEORIA DE LA SEÑAL Y COMUNICACIONES0202 electrical engineering electronic engineering information engineeringWirelessDynamismElectrical and Electronic Engineeringbusiness.industryNode (networking)020206 networking & telecommunicationsINGENIERIA TELEMATICAWSNComputer Science ApplicationsKey distribution in wireless sensor networksControl and Systems EngineeringEmbedded system020201 artificial intelligence & image processingState (computer science)Wireless body sensor networkMobilitysoccerbusinessEnergy harvestingWireless sensor networkComputer network
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