Search results for "wireless sensor"

showing 10 items of 375 documents

Robust Data Gathering for Wireless Sensor Networks

2006

2005 13th IEEE International Conference on Networks jointly held with the 2005 7th IEEE Malaysia International Conference on Communications, Proceedings Volume 1, 2005, Article number 1635527, Pages 469-474 2005 13th IEEE International Conference on Networks jointly held with the 2005 7th IEEE Malaysia International Conference on Communications; Kuala Lumpur; Malaysia; 16 November 2005 through 18 November 2005; Category number05EX1235; Code 69262 Robust data gathering for wireless sensor networks (Conference Paper) Ortolani, M. , Gatani, L. , Lo Re, G. Dipartimento di Ingegneria Informatica, Università degli Studi di Palermo, Viale delle Scienze Parco d'Orleans, 90128 Palermo, Italy View re…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDynamic Source RoutingStatic routingWi-Fi arrayNetwork packetVisual sensor networkWireless networkComputer scienceWireless ad hoc networkbusiness.industryRetransmissionRetransmissionDistributed computingWireless Routing ProtocolWireless WANGeographic routingKey distribution in wireless sensor networksLink-state routing protocolMobile wireless sensor networkRouting algorithmData gatheringbusinessWireless sensor networkWireless sensor networkComputer network2005 13th IEEE International Conference on Networks Jointly held with the 2005 IEEE 7th Malaysia International Conf on Communic
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Programming distributed applications with symbolic reasoning on WSNs

2015

Programming Wireless Sensor Networks (WSNs) is a complex task for which existing approaches adopt rigid architectures that are only suitable for specific application fields. In previous papers we introduced a programming methodology and a lightweight middleware based on high-level programming and executable code exchange for distributed processing on WSNs. In this paper, we show how high-level programming can be effectively used on WSNs to implement symbolic reasoning. In order to prove the feasibility of our approach, we present a Fuzzy Logic system where the value updates and the rule evaluations are performed in a distributed way. Through the proposed methodology, we discuss the developm…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniEvent-driven programmingEngineeringAmbient intelligenceWireless Sensor Networks (WSN)business.industryDistributed computingcomputer.file_formatcomputer.software_genreSoftware development processKey distribution in wireless sensor networksMiddleware (distributed applications)HVACExecutableDistributed ComputingbusinessSymbolic ReasoningcomputerWireless sensor network2015 International Conference on Computing, Networking and Communications (ICNC)
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Modeling and Verification of Symbolic Distributed Applications Through an Intelligent Monitoring Agent

2022

Wireless Sensor Networks (WSNs) represent a key component in emerging distributed computing paradigms such as IoT, Ambient Intelligence, and Smart Cities. In these contexts, the difficulty of testing, verifying, and monitoring applications in their intended scenarios ranges from challenging to impractical. Current simulators can only be used to investigate correctness at source code level and with limited accuracy. This paper proposes a system and a methodology to model and verify symbolic distributed applications running on WSNs. The approach allows to complement the distributed application code at a high level of abstraction in order to test and reprogram it, directly, on deployed network…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniGeneral Computer ScienceGeneral EngineeringGeneral Materials ScienceElectrical and Electronic EngineeringDistributed applications Distributed processing Embedded Systems Fault detection Fault diagnosis Internet of Things Knowledge based systems Software maintenance Software monitoring Wireless sensor networksIEEE Access
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Hardware and Software Platforms for Distributed Computing on Resource Constrained Devices

2014

The basic idea of distributed computing is that it is possible to solve a large problem by using the resources of various computing devices connected in a network. Each device interacts with each other in order to process a part of a problem, contributing to the achievement of a global solution. Wireless sensor networks (WSNs) are an example of distributed computing on low resources devices. WSNs encountered a considerable success in many application areas. Due to the constraints related to the small sensor nodes capabilities, distributed computing in WSNs allows to perform complex tasks in a collaborative way, reducing power consumption and increasing battery life. Many hardware platforms …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniHardware architectureComputer sciencebusiness.industryProcess (engineering)Distributed computingSoftware DevelopmentAppicationsEnergy consumptionDistributed design patternsSoftwareSoftware deploymentDistributed algorithmResource Constrained DeviceResource managementDistributed ComputingbusinessWireless sensor networkWireless Sensor NetworkComputer hardware
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A Middleware to Develop and Test Vehicular Sensor Network Applications

2019

The Smart city ecosystem is composed of several networked devices that provide services to citizens and improve their quality of life. Basic services, which must be exposed by the underlying software infrastructure, require efficient networking and communication protocols to coordinate and manage all the system components. In particular, Vehicular Sensor Networks (VSNs) are envisioned as key components of smart cities. Verification is crucial in such a highly dynamic scenario to ensure operation correctness and to reduce the development cost of smart applications. However, the rigidity of existing middlewares makes development, reconfiguration, and testing rather difficult. In this work, we…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniIterative and incremental developmentSoftware VerificationCorrectnessComputer science020209 energyDistributed computing020208 electrical & electronic engineeringControl reconfiguration02 engineering and technologycomputer.file_formatcomputer.software_genreSmart CitieVehicular Sensor NetworkDistributed ApplicationSmart cityMiddleware (distributed applications)0202 electrical engineering electronic engineering information engineeringSymbolic processingSoftware Development and TestingExecutableCommunications protocolcomputerWireless sensor network2019 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE)
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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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A Monitoring Framework Exploiting the Synergy between Actual and Virtual Wireless Sensors

2006

This paper describes a framework that allows realistic monitoring of a wireless sensor network in order to assess its 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 involves coupling an actual wireless sensor network composed of a minimal set of actual nodes with a simulated one; we …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniKey distribution in wireless sensor networksWireless site surveyComputer scienceSoftware deploymentVisual sensor networkbusiness.industryDistributed computingMobile wireless sensor networkWirelessbusinessWireless sensor networkWireless sensor networks2006 International Conference on Parallel Processing Workshops (ICPPW'06)
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Secure random number generation in wireless sensor networks

2011

The increasing adoption of wireless sensor networks as a flexible and inexpensive tool for the most diverseapplications, ranging from environmental monitoring to home automation, has raised more and more atten-tion to the issues related to the design of specifically customized security mechanisms. The scarcity ofcomputational, storage, and bandwidth resources cannot definitely be disregarded in such context, and thismakes the implementation of security algorithms particularly challenging. This paper proposes a securityframework for the generation of true random numbers, which are paramount as the core building blockfor many security algorithms; the intrinsic nature of wireless sensor nodes …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniLeader electionleader election random numbers generation wireless sensor networksRandom number generationbusiness.industryComputer scienceDistributed computingKey distribution in wireless sensor networksTrue random numbers generatorRobustness (computer science)Mobile wireless sensor networknetwork securityWirelessbusinesswireless sensor networksWireless sensor networkRandomnessComputer Science::Cryptography and SecurityComputer network
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Enabling Technologies on Hybrid Camera Networks for Behavioral Analysis of Unattended Indoor Environments and Their Surroundings

2008

This paper presents a layered network architecture and the enabling technologies for accomplishing vision-based behavioral analysis of unattended environments. Specifically the vision network covers both the attended environment and its surroundings by means of multi-modal cameras. The layer overlooking at the surroundings is laid outdoor and tracks people, monitoring entrance/exit points. It recovers the geometry of the site under surveillance and communicates people positions to a higher level layer. The layer monitoring the unattended environment undertakes similar goals, with the addition of maintaining a global mosaic of the observed scene for further understanding. Moreover, it merges …

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniNetwork architecturebusiness.industryReliability (computer networking)Computer laboratorydistributed video surveillanceSMART CAMERA NETWORKSBehavioral analysisMULTI-MODAL SENSOR FUSIONECamera networkGeographyHuman–computer interactionmulti-modal surveillance; wireless sensor networksEMBEDDED SMART CAMERASmulti-modal surveillanceMULTI-MODAL SENSOR FUSIONE; SMART CAMERA NETWORKS; EMBEDDED SMART CAMERASComputer visionArtificial intelligenceLayer (object-oriented design)businesswireless sensor networks
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A machine learning approach for user localization exploiting connectivity data

2016

The growing popularity of Location-Based Services (LBSs) has boosted research on cheaper and more pervasive localization systems, typically relying on such monitoring equipment as Wireless Sensor Networks (WSNs), which allow to re-use the same instrumentation both for monitoring and for localization without requiring lengthy off-line training. This work addresses the localization problem, exploiting knowledge acquired in sample environments, and extensible to areas not considered in advance. Localization is turned into a learning problem, solved by a statistical algorithm. Additionally, parameter tuning is fully automated thanks to its formulation as an optimization problem based only on co…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniOptimization problemSupport vector machineRange-free localizationbusiness.industryComputer science020206 networking & telecommunicationsSample (statistics)02 engineering and technologyMachine learningcomputer.software_genreSupport vector machineSoftware deploymentArtificial IntelligenceControl and Systems Engineering0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingArtificial intelligenceInstrumentation (computer programming)Electrical and Electronic EngineeringbusinessWireless sensor networkcomputerWireless sensor network
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