Search results for "Sensor node"

showing 10 items of 33 documents

Detection of User Activities in Intelligent Environments

2014

Research on Ambient Intelligence (AmI) focuses on the development of smart environments adaptable to the needs and preferences of their inhabitants. For this reason it is important to understand and model user preferences. In this chapter we describe a system to detect user behavior patterns in an intelligent workplace. The system is designed for a workplace equipped in the context of Sensor9k, a project carried out at the Department of Computer Science at the University of Palermo (Italy). © Springer International Publishing Switzerland 2014.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient intelligenceComputer scienceHuman–computer interactionArtificial IntelligenceSensor nodeContext (language use)Smart environmentWireless sensor network
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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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ERCP : Energy-Efficient and Reliable-Aware Clustering Protocol for Wireless Sensor Networks

2022

Wireless Sensor Networks (WSNs) have been around for over a decade and have been used in many important applications. Energy and reliability are two of the major problems with these kinds of applications. Reliable data delivery is an important issue in WSNs because it is a key part of how well data are sent. At the same time, energy consumption in battery-based sensors is another challenge. Therefore, efficient clustering and routing are techniques that can be used to save sensors energy and guarantee reliable message delivery. With this in mind, this paper develops an energy-efficient and reliable clustering protocol (ERCP) for WSNs. First, an efficient clustering technique is proposed for…

Energy utilizationreliabilityEnergyTime energySensor nodesenergy balanceKey partsDatorteknikEnergy efficiencyRouting protocolsroutingRoutingsSink nodesHeterogeneous networksReliable data deliveryWell dataComputer Engineeringwireless sensor networksClusteringsVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Internet protocolsEnergy efficientclusteringPower management (telecommunication)Clustering protocol
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Body Area Networks and Healthcare

2014

Derived from Wireless Sensor Networks, Body Area Networks, comprise a wide range of typologies with sensor nodes placed on, close to, or implanted in the body that measure physiological signs. The availability of compact mobile computing devices makes it possible to integrate traditional healthcare with new powerful means. New paradigms in public health are arising from these developments, such as e-health and mHealth, and new converging applications can be envisioned. Physiological data acquisition provided by BANs may give care providers a unobtrusive real-time view on patient’s health. On the other hand, the patient may be informed, assisted and even given the proper treatment by care pr…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.medical_specialtySensor networkbusiness.industryComputer sciencePublic healthInternet privacyPhysiological dataBody areaMobile computingSensor nodePatient treatmentEhealthBody Area NetworkMobile computing deviceActivity recognitionmHealthSensor nodeHealth caremedicineNetworks (circuits)businessWireless sensor networkmHealth
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Knowledge Extraction from Environmental Data Through a Cognitive Architecture

2008

Wireless Sensor Networks represent a novel technology which is expected to experience a dramatic diffusion thanks to the promise to be a pervasive sensory means; however, one of the issues limiting their potential growth relies in the difficulty of managing and interpreting huge amounts of collected data. This paper proposes a cognitive architecture for the extraction of high-level knowledge from raw data through the representation of processed data in opportune conceptual spaces. The presented framework interposes a conceptual layer between the subsymbolic one, devoted to sensory data processing, and the symbolic one, aimed at describing the environment by means of a high level language. T…

Data processingKnowledge extractionComputer scienceSensor nodeknowledge extraction cognitive architectureCognitive architectureCognitive networkRaw dataWireless sensor networkData scienceEnvironmental data
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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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Serial In-network Processing for Large Stationary Wireless Sensor Networks

2017

International audience; In wireless sensor networks, a serial processing algorithm browses nodes one by one and can perform different tasks such as: creating a schedule among nodes, querying or gathering data from nodes, supplying nodes with data, etc. Apart from the fact thatserial algorithms totally avoid collisions, numerous recent works have confirmed that these algorithms reduce communications andconsiderably save energy and time in large-dense networks. Yet, due to the path construction complexity, the proposed algorithmsare not optimal and their performances can be further enhanced. To do so, in the present paper, we propose a new serial processing algorithm that, in most of the case…

ScheduleVisual sensor networkbusiness.industryComputer science020206 networking & telecommunications02 engineering and technology[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE][INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation020202 computer hardware & architectureSerial memory processing[INFO.INFO-IU]Computer Science [cs]/Ubiquitous ComputingKey distribution in wireless sensor networks[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]Sensor nodeScalability0202 electrical engineering electronic engineering information engineeringMobile wireless sensor network[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 networkComputer network
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LoRa-Based Sensor Node Energy Consumption with Data Compression

2021

In this paper simple temporal compression algorithms' efficiency to reduce LoRa-based sensor node energy consumption has been evaluated and measured. It is known that radio transmission is the most energy consuming operation in a wireless sensor node. In this paper three lightweight compression algorithms are implemented in an embedded LoRa platform to compress sensor data in on-line mode and the overall energy consumption is measured. Energy consumption is compared to the situation without implementing any compression algorithm. The results show that a simple compression algorithm is an effective method to improve the battery powered sensor node lifetime. Despite the radio transmission's h…

Consumption (economics)Battery (electricity)Computer sciencebusiness.industrySensor nodeReal-time computingWirelessEnergy consumptionbusinessComputer Science::Operating SystemsWireless sensor networkEnergy (signal processing)Data compression2021 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0&IoT)
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Sensor Node Network for Remote Moisture Measurement in Timber Based on Bluetooth Low Energy and Web-Based Monitoring System

2021

This paper proposes an IoT system based on wireless BLE connectivity to monitor the moisture content of wood, using a compact and low-cost moisture device that relies on a resistance measurement method valid for an ultra-wide range of resistance values. This device is digitally controlled with a BLE-incorporated micro-controller characterized by its small size and low power consumption, providing long-life battery. The proposed system consists of two main parts: first, the BLE moisture device including the moisture content measurement and wireless capability (BLE)

Battery (electricity)IoTComputer scienceReal-time computingCloud computingwood moisture sensorcloud server02 engineering and technologylcsh:Chemical technologyBiochemistryArticleAnalytical ChemistryMoisture measurement0202 electrical engineering electronic engineering information engineeringWirelessWeb applicationlcsh:TP1-1185Electrical and Electronic EngineeringWood industryInstrumentationWater contentInternetMoisturebusiness.industry020206 networking & telecommunicationsXarxes locals sense fil Wi-Fiweb applicationmoisture estimationAtomic and Molecular Physics and OpticsVisualizationIoT networkSensor nodeBLE020201 artificial intelligence & image processingSoCbusiness
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An Energy-Autonomous Wireless Sensor with Simultaneous Energy Harvesting and Ambient Light Sensing

2021

Wireless sensor nodes (WSNs) are generally powered by batteries, which results in a substantial limitation to the places where the nodes can be installed, to the maximum number of deployable devices, and to the node lifetime. To meet the demand for Internet-of-Things (IoT) applications that require a large number of maintenance-free, low cost, wireless sensor nodes, this paper proposes a wireless sensor platform with a single photovoltaic transducer that performs the dual role of harvesting energy and sensing ambient light. This dual use allows even smaller and cheaper nodes that do not require any form of supporting external power, with a reduced component count. The device implements off-…

energy harvestingComputer sciencetime measurementsensors01 natural sciencesSettore ING-INF/01 - Elettronicaphase measurementpowerPrinted circuit boardwireless sensor networkbluetooth low energyWirelessBluetooth Low Energy Energy harvesting Internet of Things (IoT) light sensors low power Microcontroller Wireless Sensor Network Wireless Sensor Node Home AutomationElectrical and Electronic Engineeringwireless sensor networksInstrumentationlow powerbusiness.industry010401 analytical chemistryPhotovoltaic systemElectrical engineeringlight sensorswireless communication0104 chemical sciencesMicrocontrollerinternet of things (iot)Transducermicrocontrollerphotovoltaic systemswireless sensor nodehome automationNode (circuits)businessEnergy harvestingWireless sensor network
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