Search results for " Wireless Sensor Networks."

showing 10 items of 102 documents

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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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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A hybrid network for maritime on-board communications

2012

Current maritime on-board communications have to be enhanced for safety and security, where ubiquitous technologies can help, together with providing comfort and convenience to the crew and passengers. Employing wireless sensor networks on board is one recent practice of implementing ubiquitous technology for ships, where further study is needed because of the connectivity challenges. Meanwhile, it is important for an on-board communication system to be reliable and flexible for handling emergency situations. In this paper, we propose a solution of employing ubiquitous technology on ships in a way that both connectivity and emergency handling are examined. Two key aspects of this proposal a…

Key distribution in wireless sensor networksUbiquitous computingbusiness.industryComputer scienceHybrid systemThe InternetWired communicationCommunications systembusinessWireless sensor networkBackward compatibilityComputer network2012 IEEE 8th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)
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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 Network Protocol to Enhance Robustness in Tree-Based WSNs Using Data Aggregation

2007

This paper proposes a data gathering strategy for wireless sensor networks and an implementation based on the IEEE 802.15.4 standard. The algorithm combines the benefits of single-path and multi-path routing strategies in a hybrid solution which makes use of alternative paths when necessary. We adopt a caching and retransmission technique, which exploits some peculiar features of data aggregation, with the use of implicit acknowledgments of reception. The paper also discusses simulation results that show how the mentioned techniques, combined with exploitation of the features of the IEEE 802.15.4 standard have been used to obtain an efficient protocol that takes energy consumption into acco…

Routing protocolDynamic Source RoutingInter-Access Point ProtocolComputer scienceDistributed computingRetransmissionEnhanced Interior Gateway Routing ProtocolWireless Routing ProtocolMobile wireless sensor networkIEEE 802.11sZone Routing Protocolbusiness.industryWireless networkComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSPath vector protocolEnergy consumptionAd hoc wireless distribution serviceWireless sensor networksKey distribution in wireless sensor networksOptimized Link State Routing ProtocolLink-state routing protocolMultipath routingHazy Sighted Link State Routing ProtocolCommunications protocolbusinessWireless sensor networkComputer networkNeuRFon2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems
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An adaptive timer for RPL to handle mobility in wireless sensor networks

2016

This paper focuses on the performance of wireless sensor networks characterized by a hybrid topology composed of mobile and static sensor nodes. The Routing Protocol for Low power and lossy networks (RPL), which is standardized as an IPv6 routing protocol for low power and lossy networks, uses the trickle timer algorithm to handle changes in the network topology. However, this algorithm is not well adapted to dynamic environments. This paper enhances the trickle timer in order to fit with mobility requirements. Most of previous works have improved this algorithm without considering the random movement of nodes. In this work, the proposed timer algorithm takes into consideration the random t…

Routing protocolbusiness.industryComputer scienceNode (networking)ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSReal-time computing020206 networking & telecommunications02 engineering and technologyNetwork topologyIPv6Key distribution in wireless sensor networks0202 electrical engineering electronic engineering information engineeringMobile wireless sensor network020201 artificial intelligence & image processingTimerbusinessWireless sensor networkComputer network2016 International Wireless Communications and Mobile Computing Conference (IWCMC)
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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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A Logical Framework for Augmented Simulations of Wireless Sensor Networks

2006

This paper describes a framework for practical and efficient monitoring of a wireless sensor network. The architecture proposed exploits the dynamic reasoning capabilities of the situation calculus in order to assess the sensor network behavior before actually deploying all the nodes. Designing a wireless sensor network for a specific application typically involves a preliminary phase of simulations that rely on specialized software, whose behavior does not necessarily reproduce what will be experienced by an actual network. On the other hand, delaying the test phase until deployment may not be advisable due to unreasonable costs. This paper suggests the adoption of a hybrid approach that i…

Network architectureWi-Fi arrayVisual sensor networkbusiness.industryService setWireless networkComputer scienceWireless ad hoc networkDistributed computingWSNSensor webNetwork simulationIntelligent computer networkKey distribution in wireless sensor networksWireless site surveyMobile wireless sensor networkbusinessWireless sensor networkNetwork management stationHeterogeneous networkComputer network
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MansOS

2010

Often software for wireless sensor networks (WSNs) is developed using a specific event based operating system (OS) such as TinyOS. However, this requires steep learning curve for the new developers. Other operating systems for embedded devices have limited support for new hardware platforms. Our goal is to provide an operating system for resource constrained devices that is easy to use for the wide range of researchers and developers familiar with C programming language and Unix operating system concepts. In addition, we provide a framework for agile portability to new hardware platforms, due to the nature of WSN systems that require specific hardware or features for the sensing tasks at ha…

business.industryComputer sciencemedia_common.quotation_subjectcomputer.software_genreEmbedded operating systemSoftware portabilityKey distribution in wireless sensor networksSoftwareDebuggingEmbedded systemOperating systemx86businessnesCWireless sensor networkcomputermedia_commonProceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
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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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