Search results for "WIRELESS SENSOR NETWORKS"

showing 10 items of 159 documents

Localización de interiores mediante radiofrecuencia: Estudio, análisis y propuestas de mejora

2019

El sistema de posicionamiento global (GPS) es el sistema más utilizado en aplicaciones de localización en exteriores, pero es ineficiente para la localización en interiores. En los últimos años, los sistemas de posicionamiento en interiores se han desarrollado ampliamente. Para ello se han utilizado varias tecnologías inalámbricas, como ZigBee, WLAN y banda ultra ancha (UWB). Los principales métodos de medición de la señal inalámbrica en los sistemas de localización en interiores son el tiempo de llegada (TOA), la diferencia de tiempo de llegada (TDOA), el ángulo de llegada (AOA) y la indicación de intensidad de señal recibida (RSSI). Los sistemas de posicionamiento TOA, TDOA y AOA requiere…

:MATEMÁTICAS::Ciencia de los ordenadores::Informática [UNESCO]fingerprintinguwbUNESCO::MATEMÁTICAS::Ciencia de los ordenadores::Informáticalocalizacion en interioreswireless sensor networks
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Monitoring wireless sensor networks through logical deductive processes

2006

This paper proposes a distributed multi-agent architecture for wireless sensor networks management, which exploits the dynamic reasoning capabilities of the Situation Calculus in order to emulate the reactive behavior of a human expert to fault situations. The information related to network events is generated by tunable agents installed on the network nodes and is collected by a logical entity for network managing where it is merged with general domain knowledge, with the aim of identifying the root causes of faults, and deciding on reparative actions. The logical inference system has being devised to carry out automated isolation, diagnosis, and, whenever possible, repair of network anoma…

Situation CalculuSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEngineeringbusiness.industryMulti-agent systemDistributed computingReliability (computer networking)Network nodeInformation securityScalabilityWireless sensor networks managementDomain knowledgeSituation calculusbusinessLogical deductive processeWireless sensor networkWireless sensor networkNetwork management stationComputer networkMILCOM 2005 - 2005 IEEE Military Communications Conference
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Supporting a Pseudo-TDMA Access Scheme in Mesh Wireless Networks

2013

Wireless mesh networks appear a promising solution for pro- viding ubiquitous low-cost wireless access, but cannot rely on simple CSMA access protocols because of the critical inefficiencies that arise in topologies with hidden nodes. To overcome these limitations, some important protocol extensions based on synchronization and reservation mechanisms have been ratified. In this paper we show that an alternative approach to the standardiza- tion of new features and signaling messages for mesh networks can be the utilization of programmable nodes able to execute different MAC protocols programmed on the fly. Signaling messages are used only for disseminating the new protocol among the nodes. …

Wireless mesh networkHidden node problembusiness.industryComputer scienceWireless networkSettore ING-INF/03 - TelecomunicazioniDistributed computingComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKSOrder One Network ProtocolShared meshKey distribution in wireless sensor networkswireless mesh networks synchronization pseudo-TDMA random accessbusinessComputer networkIEEE 802.11sWireless distribution system
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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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An intrusion detection system for selective forwarding attack in IPv6-based mobile WSNs

2017

Selective forwarding attack is considered among the most dangerous attack in wireless sensor networks, particularly in mobile environment. The attackers compromise legitimate nodes and selectively drop some packets. In addition to that, the movement of some nodes increases link failures, collisions and packet loss. So, it will be more difficult to detect malicious nodes from legitimates ones. This paper focuses on detecting selective forwarding attackers in IPv6-based mobile wireless sensor networks when the standardized IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) is used. Contrarily to previous works which propose solutions to detect selective forwarding attack in static w…

Routing protocolComputer scienceNetwork packetbusiness.industryComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS010401 analytical chemistryPacket forwarding020206 networking & telecommunications02 engineering and technologyIntrusion detection system01 natural sciences0104 chemical sciencesIPv6Key distribution in wireless sensor networksPacket lossPacket drop attack0202 electrical engineering electronic engineering information engineeringbusinessWireless sensor networkComputer network2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC)
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Toward Unified Control of Networks of Switches and Sensors Through a Network Operating System

2018

Wireless sensor networks (WSNs) are an integral part of an Internet of Things (IoT) ecosystem. In fact, a typical IoT service deployment considers an integrated network of switches and sensors (as well as actuators). In order to manage this heterogeneous network infrastructure, the use of software defined networking (SDN) technologies is anticipated. However, existing SDN-enabling technologies consider only isolated networks and there has been no concrete solution that treats the whole network in a unified way. In this paper, a network operating system is proposed as a way to address the above issue. Starting from the open network operating system, which currently supports only OpenFlow net…

OpenFlowService (systems architecture)Computer Networks and Communicationsbusiness.industryComputer scienceInternet of Things020206 networking & telecommunications02 engineering and technologyNetwork operating systemEcosystemsWireless sensor networksComputer Science ApplicationsSoftwareHardware and ArchitectureSoftware deploymentSignal Processing0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingbusinessSoftware-defined networkingWireless sensor networkHeterogeneous networkInformation SystemsComputer network
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Design of Low-Cost Noise Measurement Sensor Network: Sensor Function Design

2010

In this paper, we report the sensor function design and implementation of a wireless sensor network application for measuring environmental acoustic noise. The system is built on ATmega128 and CC2420 platform. The protocol stack is based on CiNet stack with a global synchronization scheme and supports multi-hop communications. Strict filtering function specified by ITU-R 468 (namely A-weighting) is followed. Both the indoor and outdoor test results were compared with standard sound level meters (CESVA SC-20c and Pulsar94) and showed a less than ±2dB error in both short-term and longterm measurement. Power consumption has been measured that a single AA-type battery can sustain the applicatio…

Protocol stackFrequency responseNoiseKey distribution in wireless sensor networksEngineeringNoise measurementbusiness.industryMobile wireless sensor networkElectronic engineeringbusinessWireless sensor networkSynchronization2010 First International Conference on Sensor Device Technologies and Applications
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Probabilistic Anomaly Detection for Wireless Sensor Networks

2011

Wireless Sensor Networks (WSN) are increasingly gaining popularity as a tool for environmental monitoring, however ensuring the reliability of their operation is not trivial, and faulty sensors are not uncommon; moreover, the deployment environment may influence the correct functioning of a sensor node, which might thus be mistakenly classified as damaged. In this paper we propose a probabilistic algorithm to detect a faulty node considering its sensed data, and the surrounding environmental conditions. The algorithm was tested with a real dataset acquired in a work environment, characterized by the presence of actuators that also affect the actual trend of the monitored physical quantities.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKey distribution in wireless sensor networksBrooks–Iyengar algorithmComputer scienceNode (networking)Sensor nodeReal-time computingProbabilistic logicintelligent data analysis probabilistic reasoning wireless sensor networksAnomaly detectionWireless sensor network
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Power Consumption Analysis of Operating Systems for Wireless Sensor Networks

2010

In this paper four wireless sensor network operating systems are compared in terms of power consumption. The analysis takes into account the most common operating systems-TinyOS v1.0, TinyOS v2.0, Mantis and Contiki-running on Tmote Sky and MICAz devices. With the objective of ensuring a fair evaluation, a benchmark composed of four applications has been developed, covering the most typical tasks that a Wireless Sensor Network performs. The results show the instant and average current consumption of the devices during the execution of these applications. The experimental measurements provide a good insight into the power mode in which the device components are running at every moment, and t…

EngineeringReal-time computingConservation of Energy Resourceslcsh:Chemical technologycomputer.software_genreBiochemistryContikiArticleAnalytical ChemistryTECNOLOGIA ELECTRONICAComputer Communication NetworksElectric Power SuppliesElectricitylcsh:TP1-1185MICAzElectrical and Electronic EngineeringInstrumentationWireless sensor network operating systemsElectric Power Suppliesbusiness.industryTinyOSSignal Processing Computer-AssistedMantisMicro-Electrical-Mechanical SystemsAtomic and Molecular Physics and Opticswireless sensor network operating systems; TinyOS; Mantis; Contiki; MICAz; TmoteMoment (mathematics)Key distribution in wireless sensor networksPower consumptionEmbedded systemRemote Sensing TechnologyBenchmark (computing)Operating systemAverage currentElectricitybusinessWireless TechnologyWireless sensor networkcomputerTmote
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LynxNet: Wild Animal Monitoring Using Sensor Networks

2010

Monitoring wild animals, especially those that are becoming endangered (for example, lynxes and wolves) is important for biology researchers. Solutions for the monitoring already exist; however, they all have drawbacks, such as limited range or lifetime, sensing modality, reporting delays, unreliability of operation. In this work we describe our experiences in designing an improved animal monitoring sensor system and low-level software for sensor node control and communication. The target animals for this particular research are wild lynxes or canines, however it can be extended to other animal species. The LynxNet system is based on tracking collars, built around TMote Mini sensor nodes, s…

Modality (human–computer interaction)business.industryReal-time computingComputer securitycomputer.software_genreAnimal monitoringGeneralLiterature_MISCELLANEOUSKey distribution in wireless sensor networksBase stationSensor nodeGlobal Positioning SystemMobile wireless sensor networkbusinesscomputerWireless sensor network
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