Search results for "WIRELESS SENSOR NETWORKS"

showing 10 items of 159 documents

Predicting the Batteries' State of Health in Wireless Sensor Networks Applications

2018

[EN] The lifetime of wireless sensor networks deployments depends strongly on the nodes battery state of health (SoH). It is important to detect promptly those motes whose batteries are affected and degraded by ageing, environmental conditions, failures, etc. There are several parameters that can provide significant information of the battery SoH, such as the number of charge/discharge cycles, the internal resistance, voltage, drained current, temperature, etc. The combination of these parameters can be used to generate analytical models capable of predicting the battery SoH. The generation of these models needs a previous process to collect dense data traces with sampled values of the batt…

Battery (electricity)EnergyState of healthComputer science020209 energyProcess (computing)Battery02 engineering and technologyInternal resistanceWireless sensor networksReliability engineeringState of health (SoH)TECNOLOGIA ELECTRONICAMicrocontrollerHardware_GENERALControl and Systems EngineeringModels0202 electrical engineering electronic engineering information engineeringComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSElectrical and Electronic EngineeringMicrocontrollersWireless sensor networkVoltage
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A method for modeling the battery state of charge in wireless sensor networks

2015

In this paper we propose a method for obtaining an analytic model of the battery State-of-Charge (SoC) in wireless sensor nodes. The objective is to find simple models that can be used to estimate accurately the real battery state and consequently the node lifetime. Running the model in the network nodes, we can provide the motes with the required information to implement applications that can be considered as battery-aware. The proposed methodology reduces the computational complexity of the model avoiding complicated electrochemical simulations and treating the battery as an unknown system with an output that can be predicted using simple mathematical models. At a first stage, during a se…

Battery (electricity)EngineeringEnergyMathematical modelbusiness.industryNode (networking)Real-time computingWireless sensor networksTECNOLOGIA ELECTRONICAKey distribution in wireless sensor networksMultilayer perceptronComputer Science::Networking and Internet ArchitectureElectronic engineeringMobile wireless sensor networkBatteries State-of-ChargeWirelessBatteries modelingElectrical and Electronic EngineeringbusinessInstrumentationWireless sensor network
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An over-the-distance wireless battery charger based on RF energy harvesting

2017

An RF powered receiver silicon IC (integrated circuit) for RF energy harvesting is presented as wireless battery charger. This includes an RF-to-DC energy converter specifically designed with a sensitivity of -18.8 dBm and an energy conversion efficiency of ∼45% at 900 MHz with a transmitting power of 0.5 W in free space. Experimental results concerned with remotely battery charging using a complete prototype working in realistic scenarios will be shown.

Battery (electricity)EngineeringInternet of Things02 engineering and technologyIntegrated circuitInternet of Things; Litium Ion Battery; Radio Frequency Harvesting; Wireless Battery Charger; Wireless Sensor Networks; Hardware and Architecture; Electrical and Electronic Engineering; Modeling and SimulationSettore ING-INF/01 - ElettronicaRadio Frequency Harvestinglaw.inventionBattery chargerlawWireless Battery ChargerHardware_INTEGRATEDCIRCUITS0202 electrical engineering electronic engineering information engineeringElectronic engineeringElectrical and Electronic Engineeringbusiness.industry020208 electrical & electronic engineeringEnergy conversion efficiencyElectrical engineering020206 networking & telecommunicationsHardware and ArchitectureModeling and SimulationLitium Ion BatteryRadio frequencyInternet of ThingWireless Sensor NetworksbusinessEnergy harvestingSensitivity (electronics)Wireless sensor networkWireless Sensor Network2017 14th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design (SMACD)
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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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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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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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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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SDN@home: A Method for Controlling Future Wireless Home Networks

2016

Recent advances in wireless networking technologies are leading toward the proliferation of novel home network applications. However, the landscape of emerging scenarios is fragmented due to their varying technological requirements and the heterogeneity of current wireless technologies. We argue that the development of flexible software-defined wireless architectures, including such efforts as the wireless MAC processor, coupled with SDN concepts, will enable the support of both emerging and future home applications. In this article, we first identify problems with managing current home networks composed of separate network segments governed by different technologies. Second, we point out t…

Computer Networks and CommunicationsWireless ad hoc networkComputer science02 engineering and technology03 medical and health sciences0302 clinical medicineHome automation0202 electrical engineering electronic engineering information engineeringWirelessElectrical and Electronic EngineeringNetwork architectureResidential gatewaySettore ING-INF/03 - TelecomunicazioniWireless networkbusiness.industryComputer Science Applications1707 Computer Vision and Pattern Recognition020206 networking & telecommunicationsWireless WANService providerNetworking hardwareComputer Science ApplicationsWireless site surveyKey distribution in wireless sensor networksComputer Networks and CommunicationSoftware-defined networkingbusinessTelecommunicationsHeterogeneous networkMunicipal wireless network030215 immunologyComputer network
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An Efficient Intrusion Detection System for Selective Forwarding and Clone Attackers in IPv6-based Wireless Sensor Networks under Mobility

2017

Security in mobile wireless sensor networks is a big challenge because it adds more complexity to the network in addition to the problems of mobility and the limited sensor node resources. Even with authentication and encryption mechanisms, an attacker can compromise nodes and get all the keying materials. Therefore, an intrusion detection system is necessary to detect and defend against the insider attackers. Currently, there is no intrusion detection system applied to IPv6-based mobile wireless sensor networks. This paper is mainly interested in detecting the selective forwarding and clone attacks because they are considered among the most dangerous attackers. In this work, the authors de…

Computer Networks and Communicationsbusiness.industryComputer science020206 networking & telecommunications02 engineering and technologyIntrusion detection systemIPv6Key distribution in wireless sensor networksClone (algebra)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessWireless sensor networkInformation SystemsComputer networkInternational Journal on Semantic Web and Information Systems
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