Search results for "Sensor Networks"

showing 10 items of 174 documents

Joint Optimization of Sensor Selection and Routing for Distributed Estimation in Wireless Sensor Networks

2014

Avances recientes en redes inalámbricos de sensores (WSNs, Wireless Sensor Networks) han posibilitado que pequeños sensores, baratos y con recursos limitados tanto en sensado, comunicación, como en computación, sean desplegados a gran escala. En consecuencia, las WSNs pueden ofrecer diversos servicios en importantes aplicaciones para la sociedad. Entre las varias restricciones que aparecen en el diseño de WSNs, tales como la limitación en energía disponible, procesamiento y memoria, la limitación en energía es muy importante ya que en muchas aplicaciones (ej., monitorización remota de diferentes entornos, edificios administrativos, monitoreo del hábitat, los incendios forestales, la atenció…

adaptive quantizationnon-convex optimization:CIENCIAS TECNOLÓGICAS [UNESCO]UNESCO::CIENCIAS TECNOLÓGICAS::Ingeniería y tecnología eléctricassensor selectionenergy efficientmultihop routingNP-hardUNESCO::CIENCIAS TECNOLÓGICASparameter estimationlower boundwireless sensor networks:CIENCIAS TECNOLÓGICAS::Ingeniería y tecnología eléctricas [UNESCO]
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Quality, Reliability, Security and Robustness in Heterogeneous Systems

2020

This book constitutes the refereed post-conference proceedings of the 15th EAI International Conference on Quality, Reliability, Security and Robustness in Heterogeneous Networks, QShine 2019, held in Shenzhen, China, in November 2019. The 16 revised full papers were carefully reviewed and selected from 55 submissions. The papers are organized thematically in tracks, starting with mobile systems, cloud resource management and scheduling, machine learning, telecommunication systems, and network management.

bandwidthartificial intelligenceinternetmobiledevicesrouterstelecommunication networksdata communication systemscomputing mobileWorld Wide Webroutingsensorcomputer networkstelecommunication trafficdata securitysignal processingwireless sensor networksnetworks sensorswireless telecommunication systems
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Current characterisation for ultra low power wireless body area networks

2010

The emerging area of body area networks (BAN) imposes challenging requirements on hardware and software to achieve the desired lifetimes for certain devices such as long term medical implants. In this paper, we propose a novel approach to the measurement and characterisation of the energy consumption of BAN devices. The approach uses a low cost energy auditing circuit and addresses the problem of accurately measuring low-level current consumption. This new technique will allow precise and analytical measurements of systems and components in terms of energy. This will help circuit designers minimise power consumption in BAN devices. Software engineers might use this approach to validate and …

business.industryComputer scienceBody area networks Body sensor networks Circuits Costs Current measurement Energy consumption Energy measurement Hardware Implants Power engineering and energy Body Area Networks Current characterization Embedded system design Energy efficiency Power Consumption Wireless Network softwareEnergy consumptionPower (physics)SoftwareEmbedded systemCode (cryptography)Electronic engineeringWirelessbusinessEnergy (signal processing)Electronic circuitEfficient energy use2010 8th Workshop on Intelligent Solutions in Embedded Systems
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DTMC modeling for performance evaluation of DW-MAC in wireless sensor networks

2016

Synchronized duty cycling (DC) aligns sensor nodes to wake up at the same time in order to reduce idle listening for medium access control (MAC) in wireless sensor networks (WSNs). Demand wakeup MAC (DW-MAC) is a popular synchronous DC MAC protocol which allows nodes to compete and transmit multiple packets in one operational cycle. This multiple packet transmission (MPT) feature makes DW-MAC more energy efficient when comparing with other existing single time competition based protocols such as sensor MAC (S-MAC). In the literature, no analytical model exists to evaluate the performance of DW-MAC. In this paper, we develop two associated discrete time Markov chain (DTMC) models and incorpo…

business.industryComputer scienceNetwork packetComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS010401 analytical chemistryReal-time computing020206 networking & telecommunications02 engineering and technologyEnergy consumption01 natural sciencesSynchronization0104 chemical sciencesComputer Science::PerformanceKey distribution in wireless sensor networksComputer Science::Networking and Internet Architecture0202 electrical engineering electronic engineering information engineeringMobile wireless sensor networkMultiple Access with Collision Avoidance for WirelessbusinessWireless sensor networkComputer Science::Information TheoryEfficient energy useComputer network2016 IEEE Wireless Communications and Networking Conference
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SCARKER: A sensor capture resistance and key refreshing scheme for mobile WSNs

2011

How to discover a captured node and to resist node capture attack is a challenging task in Wireless Sensor Networks (WSNs). In this paper, we propose a node capture resistance and key refreshing scheme for mobile WSNs which is based on the Chinese remainder theorem. The scheme is able of providing forward secrecy, backward secrecy and collusion resistance for diminishing the effects of capture attacks. By implementing our scheme on a Sun SPOT based sensor network testbed, we demonstrate that the time for updating a new group key varies from 56 ms to 546 ms and the energy consumption is limited to 16.5–225 mJ, depending on the length of secret keys and the number of sensors in a group.

business.industryComputer scienceNode (networking)TestbedMobile computingEnergy consumptionSun SPOTKey distribution in wireless sensor networksForward secrecyMobile telephonybusinessWireless sensor networkComputer networkGroup key2011 IEEE 36th Conference on Local Computer Networks
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Analysis of the Effect of Human Presence on a Wireless Sensor Network

2011

Wireless Sensor Networks (WSNs) are gaining an increasing industry wide adoption. However, there remain major challenges such as network dimensioning and node placement especially in Built Environment Networks (BENs). Decisions on the node placement, orientation, and the number of nodes to cover the area of interest are usually ad-hoc. Ray tracing tools are traditionally employed to predict RF signal propagation; however, such tools are primarily intended for outdoor environments. RF signal propagation varies greatly indoors due to building materials and infrastructure, obstacles, node placement, antenna orientation and human presence. Because of the complexity of signal prediction, these f…

business.industryComputer scienceSettore ING-INF/03 - TelecomunicazioniRSSReal-time computingcomputer.file_formatRadio propagationKey distribution in wireless sensor networksBuilt Environment Networks (BENs) Human Presence Node Placement Radiation Patterns Wireless Sensor Networks (WSNs)Ray tracing (graphics)Radio frequencyTransceiverbusinessWireless sensor networkcomputerDimensioningSoftwareComputer 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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UAV-Assisted Data Collection in Wireless Sensor Networks: A Comprehensive Survey

2021

Wireless sensor networks (WSNs) are usually deployed to different areas of interest to sense phenomena, process sensed data, and take actions accordingly. The networks are integrated with many advanced technologies to be able to fulfill their tasks that is becoming more and more complicated. These networks tend to connect to multimedia networks and to process huge data over long distances. Due to the limited resources of static sensor nodes, WSNs need to cooperate with mobile robots such as unmanned ground vehicles (UGVs), or unmanned aerial vehicles (UAVs) in their developments. The mobile devices show their maneuverability, computational and energy-storage abilities to support WSNs in mul…

data collection scenariosTK7800-8360Computer Networks and CommunicationsProcess (engineering)Computer scienceDistributed computingComputerApplications_COMPUTERSINOTHERSYSTEMSwireless sensor networks (WSNs)mobile robotsenergy consumptionComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSunmanned aerial vehicles (UAVs)Electrical and Electronic EngineeringData collectionControl algorithmcommunication structuresCommunication structures Control algorithms Data collection scenarios Energy consumption Mobile robots Unmanned aerial vehicles (UAVs) Wireless sensor networks (WSNs)Mobile robotEnergy consumptionSettore ING-IND/31 - ElettrotecnicaHardware and ArchitectureControl and Systems EngineeringSignal Processingcontrol algorithmsElectronicsMobile deviceWireless sensor networkLimited resourcesElectronics
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Wireless Sensor Network Operating System Design Rules Based on Real-World Deployment Survey

2013

Wireless sensor networks (WSNs) have been a widely researched field since the beginning of the 21st century. The field is already maturing, and TinyOS has established itself as the de facto standard WSN Operating System (OS). However, the WSN researcher community is still active in building more flexible, efficient and user-friendly WSN operating systems. Often, WSN OS design is based either on practical requirements of a particular research project or research group's needs or on theoretical assumptions spread in the WSN community. The goal of this paper is to propose WSN OS design rules that are based on a thorough survey of 40 WSN deployments. The survey unveils trends of WSN applic…

design rulesControl and OptimizationComputer Networks and CommunicationsComputer sciencecomputer.software_genreUSablelcsh:TechnologyField (computer science)ComputerApplications_MISCELLANEOUSoperating systemdeploymentsurveyComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMSwireless sensor networksInstrumentationbusiness.industrylcsh:TComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSwireless sensor networks; deployment; survey; operating system; design rulesSoftware deploymentOperating systembusinessWireless sensor networkcomputerComputer networkDe facto standardJournal of Sensor and Actuator Networks; Volume 2; Issue 3; Pages: 509-556
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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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