Search results for " wireless sensor networks"

showing 10 items of 106 documents

Adaptive consensus-based distributed detection in WSN with unreliable links

2016

Event detection is a crucial tasks in wireless sensor networks. The importance of a fast response makes distributed strategies, where nodes exchange information just with their one-hop neighbors to reach local decisions, more adequate than schemes where all nodes send observations to a central entity. Distributed detectors are usually based on average consensus, where all nodes iteratively communicate to asymptotically agree on a final result. In a realistic scenario, communications are subject to random failures, which impacts the performance of the consensus. We propose an alternative detector, which adapts to the statistical properties of the consensus and compensate deviations from the …

0209 industrial biotechnologyEvent (computing)business.industryComputer scienceDistributed computingDetector020206 networking & telecommunications02 engineering and technologyKey distribution in wireless sensor networks020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkComputer network2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Two novel subjective logic-based in-network data processing schemes in wireless sensor networks

2016

Wireless sensor networks (WSNs) consist of connected low-cost and small-size sensor nodes. The sensor nodes are characterized by various limitations, such as energy availability, processing power, and storage capacity. Typically, nodes collect data from an environment and transmit the raw or processed data to a sink. However, the collected data contains often redundant information. An in-network processing scheme attempts to eliminate or reduce such redundancy in sensed data. In this paper, we propose two in-network data processing schemes for WSNs, which are built based on a lightweight algebra for data processing. The schemes bring also benefits like decreased network traffic load and inc…

021110 strategic defence & security studiesData processingbusiness.industryComputer scienceVisual sensor networkReal-time computing0211 other engineering and technologies020206 networking & telecommunications02 engineering and technologySynthetic dataKey distribution in wireless sensor networks0202 electrical engineering electronic engineering information engineeringMobile wireless sensor networkWirelessbusinessSubjective logicWireless sensor network2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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A low complexity distributed cluster based algorithm for spatial prediction

2017

Los mapas del entorno radioeléctrico (REM) pueden ser una herramienta esencial para numerosas aplicaciones en las futuras redes inalámbricas 5G. En este trabajo, empleamos un popular método geoestadístico llamado kriging ordinario para estimar el REM de un área cubierta por un eNodeB equipado con múltiples antenas. Los sensores inalámbricos se distribuyen por el área de interés y se organizan clústeres adaptativos de sensores para mejorar la calidad de la estimación del canal. En este trabajo, modificamos el algoritmo de clustering distribuido propuesto en un trabajo anterior para reducir la complejidad de la predicción de kriging. Se realizan simulaciones para detallar la técnica de formac…

:CIENCIAS TECNOLÓGICAS [UNESCO]Theoretical computer scienceWireless networkbusiness.industryComputer science020206 networking & telecommunications010103 numerical & computational mathematics02 engineering and technologyUNESCO::CIENCIAS TECNOLÓGICASradio environment maps01 natural sciencesdistributed channel predictionKey distribution in wireless sensor networksKrigingComputer engineeringKriging0202 electrical engineering electronic engineering information engineeringWireless0101 mathematicsCluster analysisbusinesswireless sensor networksWireless sensor networkInterpolation
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A reliable CSMA protocol for high performance broadcast communications in a WSN

2014

Wireless Sensor Networks have been identified as a promising technology to efficiently perform distributed monitoring, tracking and control tasks. In order to accomplish them, since fast decisions are generally required, high values of throughput must be obtained. Additionally, a high packet reception rate is important to avoid wasting energy due to unsuccessful transmissions. These communication requirements are more easily satisfied by exploiting the broadcast nature of the wireless medium, which allows several simultaneous receptions through a unique node transmission. We propose a Medium Access Control protocol that ensures, simultaneously, high values of throughput and a high packet re…

Atomic broadcastKey distribution in wireless sensor networksbusiness.industryComputer scienceNode (networking)Media access controlWirelessThroughputBroadcastingbusinessBroadcast radiationWireless sensor networkComputer network2014 IEEE Global Communications Conference
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Multimode WSN: Improving Robustness, Fault Tolerance and Performance of Randomly Deployed Wireless Sensor Network

2010

This paper proposes an advanced, robust and flexible solution that applies the (revised) concept of Always Best Connected (ABC) Network, typical of multimode modern mobile devices, to Wireless Sensor Network. Hostile environments and unpredictable conditions (e.g. interferences) can negatively affect communication range, potentially increasing the number of unconnected nodes in random deployments. Multimode Wireless Sensor Network (MM-WSN) is provided with an adaptive mechanism for environmental condition evaluation and with the ability of self-configuring itself for optimal networking independence of detected conditions. Proposed solution is based on advanced smart nodes provided with mult…

Base stationKey distribution in wireless sensor networksWireless ad hoc networkRobustness (computer science)business.industryComputer scienceDistributed computingMobile wireless sensor networkWirelessNetwork performancebusinessWireless sensor networkComputer network2010 2nd International Conference on Computational Intelligence, Communication Systems and Networks
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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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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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