Search results for "Wireless Sensor Network"

showing 10 items of 363 documents

Interchannel Interference and Mitigation in Distributed MIMO RF Sensing

2021

In this paper, we analyze and mitigate the cross-channel interference, which is found in multiple-input multiple-output (MIMO) radio frequency (RF) sensing systems. For a millimeter wave (mm-Wave) MIMO system, we present a geometrical three-dimensional (3D) channel model to simulate the time-variant (TV) trajectories of a moving scatterer. We collected RF data using a state-of-the-art radar known as Ancortek SDR-KIT 2400T2R4, which is a frequency-modulated continuous wave (FMCW) MIMO radar system operating in the K-band. The Ancortek radar is currently the only K-band MIMO commercial radar system that offers customized antenna configurations. It is shown that this radar system encounters th…

Computer science3D channel modelMIMOVDP::Informasjons- og kommunikasjonsteknologi: 550Data_CODINGANDINFORMATIONTHEORYTP1-1185Interference (wave propagation)BiochemistryVDP::Information and communication technology: 550ArticleAnalytical Chemistrylaw.inventionmillimeter wave (mm-Wave)lawElectronic engineeringElectrical and Electronic EngineeringRadarInstrumentationsensor networkComputer Science::Information Theoryinterchannel interferencedistributed MIMOmicro-Doppler signaturesChemical technologyPropagation delayAtomic and Molecular Physics and OpticsRF sensingVDP::Teknologi: 500Extremely high frequencyFMCWRadio frequencyAntenna (radio)Wireless sensor networkSensors
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Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers

2019

This paper describes a non-invasive, automatic, and robust method for calibrating a scalable RGB-D sensor network based on retroreflective ArUco markers and the iterative closest point (ICP) scheme. We demonstrate the system by calibrating a sensor network comprised of six sensor nodes positioned in a relatively large industrial robot cell with an approximate size of 10 m × 10 m × 4 m . Here, the automatic calibration achieved an average Euclidean error of 3 c m at distances up to 9.45 m . To achieve robustness, we apply several innovative techniques: Firstly, we mitigate the ambiguity problem that occurs when detecting a marker at long range or low resolution by comparing the…

Computer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologytime-of-flightBiochemistryArticleVDP::Food science and technology: 600Analytical Chemistrylaw.inventionIndustrial robotlawRegion of interestRobustness (computer science)automatic calibration0202 electrical engineering electronic engineering information engineeringCalibrationVDP::Næringsmiddelteknologi: 600lcsh:TP1-1185Computer visionElectrical and Electronic EngineeringInstrumentationbusiness.industryambiguity problemIterative closest point3D sensors020207 software engineeringretroreflective markersAtomic and Molecular Physics and OpticsTime of flightTheoryofComputation_MATHEMATICALLOGICANDFORMALLANGUAGESRGB color model020201 artificial intelligence & image processingArtificial intelligencebusinessFiducial markerWireless sensor networkSensors
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Efficient cluster-based routing algorithm for body sensor networks

2018

International audience; Body Sensor Networks have gained a lot of research interest lately for the variety of applications they can serve. In such networks where nodes might hold critical information about people's lives, designing efficient routing schemes is very important to guarantee data delivery with the lowest delay and energy consumption. Even though some cluster-based routing schemes were proposed in the literature, none of them offer a complete solution that guarantees energy and delay efficient routing in BSN. In this paper, we propose a robust cluster- based algorithm that increases the routing efficiency through every step of the routing process: cluster formation, cluster head…

Computer scienceDistributed computing010401 analytical chemistryRouting algorithm020206 networking & telecommunications[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]02 engineering and technologyEnergy consumption[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation01 natural sciences0104 chemical sciences[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR][INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]0202 electrical engineering electronic engineering information engineering[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]Data delivery[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]MATLABcomputerWireless sensor networkCluster basedcomputer.programming_language2018 IEEE Middle East and North Africa Communications Conference (MENACOMM)
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Energy Efficient Consensus Over Directed Graphs

2018

Consensus algorithms are iterative methods that represent a basic building block to achieve superior functionalities in increasingly complex sensor networks by facilitating the implementation of many signal-processing tasks in a distributed manner. Due to the heterogeneity of the devices, which may present very different capabilities (e.g. energy supply, transmission range), the energy often becomes a scarce resource and the communications turn into directed. To maximize the network lifetime, a magnitude that in this work measures the number of consensus processes that can be executed before the first node in the network runs out of battery, we propose a topology optimization methodology fo…

Computer scienceDistributed computingNode (networking)Topology optimizationTopology (electrical circuits)Directed graphNetwork topologyWireless sensor networkEfficient energy useBlock (data storage)
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Dynamics-based action recognition for motor intention prediction

2020

Abstract Powered lower-limb prostheses presented in the previous chapter require a natural and easy-to-use interface for communicating amputee’s motor intention in order to select the appropriate motor program in a given context or simply to commute from an active (powered) to a passive mode of functioning. To be accepted by amputees, such an interface should (1) not put additional cognitive load on the end-user, (2) be reliable and (3) be minimally invasive. In this chapter we present one possible solution for achieving that goal: a robust method for autonomously detecting and recognizing motor intents from a wearable sensor network mounted on a sound leg. The sensor network provides a rea…

Computer scienceHuman–computer interactionInterface (computing)Feature extractionWearable computerMotor programContext (language use)AccelerometerWireless sensor networkCognitive load
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WSN Design and Verification Using On-Board Executable Specifications

2019

The gap between informal functional specifications and the resulting implementation in the chosen programming language is notably a source of errors in embedded systems design. In this paper, we discuss a methodology and a software platform aimed at coping with this issue in programming resource-constrained wireless sensor network nodes (WSNs). Whereas the typical development model for the WSNs is based on cross compilation, the proposed approach supports high-level symbolic coding of abstract models and distributed applications, as well as their test and their execution, directly on the target hardware. As a working example, we discuss the application of our methodology to specify the func…

Computer scienceInformation System02 engineering and technologywireless sensor networkSoftware0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringEmbedded systemsymbolic programmingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniFunctional specificationbusiness.industry020208 electrical & electronic engineeringRuntime verificationresource-constrained deviceComputer Science Applications1707 Computer Vision and Pattern Recognitioncomputer.file_formatsystem specificationComputer Science ApplicationsControl and Systems EngineeringEmbedded systemsystem programmingExecutablebusinesscomputerInformation SystemsIEEE Transactions on Industrial Informatics
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SREP: An Energy Efficient Relay Protocol for Wireless Sensor Networks

2018

While wireless sensor networks continue to break new grounds in applications, favored by technological innovations, energy efficiency continues to stagnate. Duty cycling remains the most popular and effective technique used to improve energy efficiency and thus lifetime of the network. Nevertheless, duty cycling imposes temporary unavailability on the network leading to deterioration of quality of service. To take care of this rather contradicting reality, this paper proposes Sleep Relay Protocol (SREP). Network nodes are divided into sets according to their location and the sets sleep in relay within a duty cycle period. Two set formation algorithms are proposed at initiation of our propos…

Computer scienceNetwork packetbusiness.industryQuality of service020206 networking & telecommunications02 engineering and technologySynchronizationlaw.inventionDuty cycleRelaylaw0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingUnavailabilitybusinessWireless sensor networkEfficient energy useComputer network2018 14th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)
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Decentralized Subspace Projection for Asymmetric Sensor Networks

2020

A large number of applications in Wireless Sensor Networks include projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. In general, accomplishing such a task in a centralized fashion, entails a large power consumption, congestion at certain nodes and suffers from robustness issues against possible node failures. Computing such projections in a decentralized fashion is an alternative solution that solves these issues. Recent works have shown that this task can be done via the so-called graph filters where only local inter-node communication is performed in a distributed manner using a graph shift operator. Most of the existi…

Computer scienceNode (networking)020206 networking & telecommunications010103 numerical & computational mathematics02 engineering and technologySolverTopologyNetwork topology01 natural sciencesGraphRobustness (computer science)Convex optimization0202 electrical engineering electronic engineering information engineeringGraph (abstract data type)0101 mathematicsProjection (set theory)Wireless sensor networkSubspace topology2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall)
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Distributed Symbolic Network Quality Assessment for Resource-constrained Devices

2021

After a Wireless Sensor Network (WSN) is deployed it is subject to significant variations of the quality of its radio links during its lifetime. Knowledge of the condition of the wireless links can be useful to optimize power consumption and increase the reliability of the network. However, resource-constrained nodes may not be able to spare the storage space for network monitoring code. Also, reprogramming deployed nodes can be costly or unfeasible. In this work, we show how an approach based on the exchange of symbolic executable code among nodes enables the assessment of the network status in terms of Packet Reception Rate (PRR) with no extra storage requirements on deployed networks. We…

Computer scienceQuality assessmentSymbolic programmingDistributed computingResource constrainedEmbedded SystemSymbolic code exchangeDistributed computingWireless Sensor Network
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Constraint Hubs Deployment for efficient Machine-Type-Communications

2018

Massive Internet of Things (mIoT) is an important use case of 5G. The main challenge for mIoT is the huge amount of uplink traffic as it dramatically overloads the radio access network (RAN). To mitigate this shortcoming, a new RAN technology has been suggested, where small cells are used for interconnecting different devices to the network. The use of small cells will alleviate congestion at the RAN, reduce the end-to-end (E2E) delay, and increase the link capacity for communications. In this paper, we devise three solutions for deploying and interconnecting small cells that would handle mIoT traffic. A realistic physical model is considered in these solutions. The physical model is based …

Computer scienceReliability (computer networking)Wireless communication050801 communication & media studies02 engineering and technology0508 media and communicationsSINR modelTelecommunications link5G mobile communication0202 electrical engineering electronic engineering information engineeringWirelessPath lossFadingElectrical and Electronic EngineeringDelaysRadio access networkConnectivityta213business.industryApplied Mathematics05 social sciences020206 networking & telecommunicationsRelay Node PlacementReliabilityWireless sensor networksComputer Science ApplicationsBackhaul (telecommunications)businessInterferenceWireless sensor network5GWireless Sensor NetworkComputer networkIEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
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