Search results for "wireless sensor"

showing 10 items of 375 documents

Fuzzy techniques for access and data management in home automation environments

2012

Home Automation Environments are characterized by the integration of electronic devices as well as by the performance of communication and control systems. Environment infrastructure has to meet several requirements including Quality of Service (QoS), safety, security, and energy saving. However, Home Automation deals with complex environments, so that advanced data management systems are required to meet the above constraints. Fuzzy Logic based techniques can be successful used to improve system performance management. This work proposes and describes the use and application of fuzzy rules on a two-tiered architecture integrating a biometric authentication module and communication real-tim…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniWireless Sensor Networks Real-time scheduling Biometric Authentication Data Management Fuzzy Techniques
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Body Area Networks and Healthcare

2014

Derived from Wireless Sensor Networks, Body Area Networks, comprise a wide range of typologies with sensor nodes placed on, close to, or implanted in the body that measure physiological signs. The availability of compact mobile computing devices makes it possible to integrate traditional healthcare with new powerful means. New paradigms in public health are arising from these developments, such as e-health and mHealth, and new converging applications can be envisioned. Physiological data acquisition provided by BANs may give care providers a unobtrusive real-time view on patient’s health. On the other hand, the patient may be informed, assisted and even given the proper treatment by care pr…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.medical_specialtySensor networkbusiness.industryComputer sciencePublic healthInternet privacyPhysiological dataBody areaMobile computingSensor nodePatient treatmentEhealthBody Area NetworkMobile computing deviceActivity recognitionmHealthSensor nodeHealth caremedicineNetworks (circuits)businessWireless sensor networkmHealth
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A Spatial-Temporal Correlation Approach for Data Reduction in Cluster-Based Sensor Networks

2019

International audience; In a resource-constrained Wireless Sensor Networks (WSNs), the optimization of the sampling and the transmission rates of each individual node is a crucial issue. A high volume of redundant data transmitted through the network will result in collisions, data loss, and energy dissipation. This paper proposes a novel data reduction scheme, that exploits the spatial-temporal correlation among sensor data in order to determine the optimal sampling strategy for the deployed sensor nodes. This strategy reduces the overall sampling/transmission rates while preserving the quality of the data. Moreover, a back-end reconstruction algorithm is deployed on the workstation (Sink)…

Signal Processing (eess.SP)FOS: Computer and information sciencesAdaptive samplingGeneral Computer ScienceComputer sciencespatial-temporal correlationReal-time computing02 engineering and technologyData loss[INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]data reconstructionQA76Computer Science - Networking and Internet Architecture[INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing[INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]FOS: Electrical engineering electronic engineering information engineering0202 electrical engineering electronic engineering information engineeringGeneral Materials ScienceElectrical Engineering and Systems Science - Signal ProcessingNetworking and Internet Architecture (cs.NI)General EngineeringSampling (statistics)020206 networking & telecommunicationsReconstruction algorithmDissipation[INFO.INFO-MO]Computer Science [cs]/Modeling and SimulationWireless sensor networks[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]data reduction020201 artificial intelligence & image processing[INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET]lcsh:Electrical engineering. Electronics. Nuclear engineering[INFO.INFO-DC]Computer Science [cs]/Distributed Parallel and Cluster Computing [cs.DC]lcsh:TK1-9971Wireless sensor networkData reduction
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Online Non-linear Topology Identification from Graph-connected Time Series

2021

Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over cyber-physical systems, and finance engineering. Inference of such causal dependencies, often know as topology identification, is not well studied for non-linear non-stationary systems, and most of the existing methods are batch-based which are not capable of handling streaming sensor signals. In this paper, we propose an online kernel-based algorithm for topology estimation of non-linear vector autoregressive time series by solving a sparse online optimization framework using the composite objective mirror descent…

Signal Processing (eess.SP)Kernel (linear algebra)Signal processingSeries (mathematics)Autoregressive modelComputer scienceFOS: Electrical engineering electronic engineering information engineeringGraph (abstract data type)InferenceTopology (electrical circuits)Electrical Engineering and Systems Science - Signal ProcessingWireless sensor networkAlgorithm
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Accurate Graph Filtering in Wireless Sensor Networks

2020

Wireless sensor networks (WSNs) are considered as a major technology enabling the Internet of Things (IoT) paradigm. The recent emerging Graph Signal Processing field can also contribute to enabling the IoT by providing key tools, such as graph filters, for processing the data associated with the sensor devices. Graph filters can be performed over WSNs in a distributed manner by means of a certain number of communication exchanges among the nodes. But, WSNs are often affected by interferences and noise, which leads to view these networks as directed, random and time-varying graph topologies. Most of existing works neglect this problem by considering an unrealistic assumption that claims the…

Signal Processing (eess.SP)Networking and Internet Architecture (cs.NI)FOS: Computer and information sciencesComputer Networks and CommunicationsComputer scienceNetwork packetDistributed computing020206 networking & telecommunications02 engineering and technologyNetwork topologyGraphComputer Science ApplicationsComputer Science - Networking and Internet ArchitectureHardware and ArchitectureSignal Processing0202 electrical engineering electronic engineering information engineeringComputer Science::Networking and Internet ArchitectureFOS: Electrical engineering electronic engineering information engineeringGraph (abstract data type)020201 artificial intelligence & image processingElectrical Engineering and Systems Science - Signal ProcessingWireless sensor networkInformation Systems
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PHASER – A Phase-Shifting Antenna for Low-Power Directional Communication

2017

This paper describes the design and empirical evaluation of PHASER — a mote prototype for low-power directional communication in wireless sensor networks. PHASER has a modular design that includes three components: a low-power radio, an RF signal processing chip, and two off-the-shelf antennas. Directional communication is achieved by splitting the output signal from the low-power radio chip and controlling programmatically the phase of each signal as it transmitted to each antenna. The net effect of controlling the phase of the signals is that they generate patterns of constructive and destructive interference as signals propagate. PHASER is well-suited for wireless sensor networks as it d…

Signal processingComputer science020208 electrical & electronic engineering020206 networking & telecommunications02 engineering and technologyChipSignalPhaser0202 electrical engineering electronic engineering information engineeringElectronic engineeringRadio frequencyAntenna (radio)Wireless sensor networkEnergy (signal processing)2017 13th International Conference on Distributed Computing in Sensor Systems (DCOSS)
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Design of Asymmetric Shift Operators for Efficient Decentralized Subspace Projection

2021

A large number of applications in decentralized signal processing includes projecting a vector of noisy observations onto a subspace dictated by prior information about the field being monitored. Accomplishing such a task in a centralized fashion in networks is prone to a number of issues such as large power consumption, congestion at certain nodes and suffers from robustness issues against possible node failures. Decentralized subspace projection is an alternative method to address those issues. Recently, it has been shown that graph filters (GFs) can be implemented to perform decentralized subspace projection. However, most of the existing methods have focused on designing GFs for symmetr…

Signal processingOptimization problemComputer science020206 networking & telecommunications02 engineering and technologyShift operatorTopologyNetwork topologyGraphProjection (linear algebra)Operator (computer programming)Robustness (computer science)Signal Processing0202 electrical engineering electronic engineering information engineeringElectrical and Electronic EngineeringWireless sensor networkSubspace topologyIEEE Transactions on Signal Processing
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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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Cumulative-Sum-Based Localization of Sound Events in Low-Cost Wireless Acoustic Sensor Networks

2014

Wireless acoustic sensor networks (WASNs) are known for their potential applications in multiple areas, such as audio-based surveillance, binaural hearing aids or advanced acoustic monitoring. The knowledge of the spatial position of a source of interest is usually a requirement for many of these applications. Therefore, source localization is an important problem to be addressed in WASNs. Unfortunately, most localization algorithms need costly signal processing stages that prevent them from being implemented in low-cost sensor networks, requiring additional modules for signal acquisition and processing. This paper presents a low-complexity method for acoustic event detection and localizati…

Sound localizationSignal processingAcoustics and UltrasonicsComputer sciencebusiness.industrySpeech recognitionNode (networking)Real-time computingCUSUMComputational MathematicsSoftware deploymentComputer Science (miscellaneous)WirelessElectrical and Electronic EngineeringbusinessWireless sensor networkChange detectionIEEE/ACM Transactions on Audio, Speech, and Language Processing
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Routing Algorithm for Maximizing Lifetime of Wireless Sensor Network for Broadcast Transmission

2018

In the article we discuss solutions of the maximum lifetime broadcasting problem in wireless sensor networks. Due to limited energy resources of the network nodes to find an optimal transmission route of the broadcasted data we minimize the maximum energy consumed by the nodes. We give an analytical solution of the problem in one dimensional regular sensor network for the point-to-point and point-to-multipoint data transmission scheme. We show that in such a network, when the cost of data transmission is a polynomial function of distance between transmitter and receiver, there exist solutions with an equal energy, i.e., all nodes of the network consume the same amount of energy. We assume t…

Spanning treeComputer scienceNode (networking)Wireless communication020206 networking & telecommunications02 engineering and technologyEnergy consumptionTopologyComputer Science ApplicationsBroadcast transmissionBroadcasting (networking)Energy efficiencyTransmission (telecommunications)0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingSensor network lifetimeElectrical and Electronic EngineeringTime complexityWireless sensor networkData transmissionWireless Personal Communications
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