Search results for " Wireless Sensor Networks."

showing 10 items of 102 documents

Extracting Structured Knowledge From Sensor Data for Hybrid Simulation

2014

Obtaining continuous and detailed monitoring of indoor environments has today become viable, also thanks to the widespread availability of effective and flexible sensing technology; this paves the way for the design of practical Ambient Intelligence systems, and for their actual deployment in real-life contexts, which require advanced functionalities, such as for instance the automatic discovery of the activities carried on by users. Novel issues arise in this context; on one hand, it is important to reliably model the phenomena under observation even though, to this end, it is often necessary to craft a carefully designed prototype in order to test and fine-tune the theoretical models.

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniAmbient intelligenceComputer scienceTheoretical modelsinternet of things wireless sensor networks grammar inductionContext (language use)computer.file_formatData scienceSoftware deploymentHuman–computer interactionSensor nodeRDFWireless sensor networkcomputer
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A Hybrid Framework for Soft Real-Time WSN Simulation

2009

The design of a wireless sensor network is a chal- lenging task due to its intrinsically application-specific nature. Although a typical choice for testing such kind of networks requires devising ad-hoc testbeds, this is often impractical as it depends on expensive, and hard to maintain deployment of nodes. On the other hand, simulation is a valuable option, as long as the actual functioning conditions are reliably modeled, and carefully replicated. The present work describes a framework for supporting the user in early design and testing of a wireless sensor network with an augmented version of TOSSIM, the de-facto standard for simulators, that allows merging actual and virtual nodes seaml…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniComputer scienceDistributed computingLoad modelingReal-time computingData modelingTask (computing)Key distribution in wireless sensor networksTelecommunication computingSoftware deploymentCode (cryptography)Soft-real timeWireless sensor networkWireless Sensor NetworkSimulation
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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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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 TRNG Exploiting Multi-Source Physical Data

2010

In recent years, the considerable progress of miniaturization and the consequent increase of the efficiency of digital circuits has allowed a great diffusion of the wireless sensor network technology. This has led to the growth of applications and protocols for applying these networks to several scenarios, such as the military one, where it is essential to deploy security protocols in order to prevent opponents from accessing the information exchanged among sensor nodes. This paper analyzes security issues of data processed by the WSN and describes a system able to generate sequences of random numbers, which can be used by security algorithms and protocols. The proposed True Random Number G…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRandom number generationbusiness.industryNetwork securityComputer scienceDistributed computingNode (networking)Cryptographic protocolTrusted third partyKey distribution in wireless sensor networksWireless Sensor Networks Random Number Generator Network SecurityNISTbusinessWireless sensor networkComputer network
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Robust and Efficient Data Gathering for Wireless Sensor Networks

2006

This paper describes a new strategy for data gathering in wireless sensor networks that takes into account the need for both energy saving, typical of such networks, and for a reasonable tradeoff between robustness and efficiency. The proposed algorithm implements an efficient strategy for retransmission of lost packets by discovering alternative routes and making clever use of multiple paths when necessary; in order to do that we build upon the general framework presented in recent works, that provided a formulation of duplicate and order insensitive aggregation functions, and by taking advantage of some intrinsic characteristics of the wireless sensor networks, we exploit implicit acknowl…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniRouting protocolbusiness.industryNetwork packetComputer sciencePacket transmissionDistributed computingRetransmissionWireless sensor networksBase stationKey distribution in wireless sensor networksIntelligent sensorRobustness (computer science)Aggregation functionbusinessWireless sensor networkComputer networkProceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06)
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