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共 3168 条记录，以下是131-140 订阅

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An IoT-Based System for Autonomous, Continuous, Real-Time Patient Monitoring and Its Application to Pressure Injury Management 17

An IoT-Based System for Autonomous, Continuous, Real-Time Pa...

引用

17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Mansfield, Sam Vin, Eric Obraczka, Katia Univ Calif Santa Cruz Baskin Sch Engn Santa Cruz CA 95064 USA

ISBN: (纸本)9781665439299

In this paper, we introduce PIMAP, an IoT-based system for continuous, real-time patient monitoring that operates in a fully autonomous fashion, i.e. without the need for human intervention. To our knowledge, PIMAP is the first open system that integrates the basic patient monitoring workflow for continuous and autonomous operation and includes sensed data collection, storage, analysis, and real-time visualization. PIMAP's open design allows it to integrate a variety of sensors (custom and off-the-shelf), analytics, and visualization. Other novel features of PIMAP include its deployment flexibility, i.e., its ability to be deployed in different configurations depending on the specific application needs, setting, and resources, as well as PIMAP's self-profiling and self-tuning capabilities. While PIMAP can be applied to various patient monitoring applications and settings, in this paper we focus on the unsolved problem of preventing pressure injuries.

关键词： Patient monitoring Data visualization Open systems Data collection Real-time systems sensor systems sensors

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A distributed Information Fusion Method for Localization Based on Pareto Optimization

A Distributed Information Fusion Method for Localization Bas...

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7th ieee international conference on distributed computing in sensor systems (dcoss)

作者： De Angelis, Alessio Fischione, Carlo Royal Inst Technol KTH Sch Elect Engn ACCESS Linnaeus Ctr Stockholm Sweden

ISBN: (纸本)9781457705137

To overcome the limitations of specific positioning techniques for mobile wireless nodes and achieve a high accuracy, the fusion of heterogeneous sensor information is an appealing strategy. In this paper, the problem of optimal fusion of ranging information typically provided by Ultra-Wideband radio with speed and absolute orientation information is addressed. A new distributed recursive estimation method is proposed. The method does not assume any motion model of mobile nodes and is based on a Pareto optimization. The challenging part of the new estimator is the characterization of the statistical information needed to model the optimization problem. The proposed estimator is validated by Monte Carlo simulations, and the performance is compared to several Kalman-based filters commonly employed for localization and sensor fusion. Much better performance is achieved, but at the price of an increased computational complexity.

关键词： Distance measurement Estimation error Mobile communication Monte Carlo methods Monte Carlo simulations Pareto optimisation Pareto optimization Pareto optimization sensor fusion computational complexity computational complexity distributed information fusion distributed recursive estimation heterogeneous sensor information fusion localization mobile radio mobile wireless nodes optimal fusion ranging information recursive estimation sensor fusion specific positioning ultra wideband communication ultra-wideband radio

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Distributive Model-based sensor Fault Diagnosis in Wireless sensor Networks

Distributive Model-based Sensor Fault Diagnosis in Wireless ...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Lo, Chun Liu, Mingyan Lynch, Jerome P. Univ Michigan Ann Arbor MI 48109 USA

ISBN: (纸本)9780769550411

This poster presents a distributed model-based fault detection algorithm which is based on local pair-wise verification. We first show that there exists a linear relationship between the outputs of any pair of sensors. Therefore, a network can be partitioned into sensor pairs, and the relationship between a pair of sensors can be modeled by a linear model. In addition to detecting general faults happened within a sensor pair, we developed an algorithm for identifying non-linearity type of fault without the use of reference sensors. Preliminary performance analysis shows that this scalable algorithm achieves high diagnosis accuracy. Communication power is also greatly reduced by the distributed nature of the algorithm.

关键词： fault diagnosis wireless sensor networks

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Asynchronous Gossip in Smartphone Peer-to-Peer Networks 17

Asynchronous Gossip in Smartphone Peer-to-Peer Networks

引用

17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Newport, Calvin Weaver, Alex Zheng, Chaodong Georgetown Univ Washington DC 20007 USA Nanjing Univ Nanjing Peoples R China

ISBN: (纸本)9781665439299

In this paper, we study gossip algorithms in communication models that describe the peer-to-peer networking functionality included in most standard smartphone operating systems. We begin by describing and analyzing a new synchronous gossip algorithm in this setting that features both a faster round complexity and simpler operation than the best-known existing solutions. We also prove a new lower bound on the rounds required to solve gossip that resolves a minor open question by establishing that existing synchronous solutions are within logarithmic factors of optimal. We then adapt our synchronous algorithm to produce a novel gossip strategy for an asynchronous model that directly captures the interface of a standard smartphone peer-to-peer networking library (enabling algorithms described in this model to be easily implemented on real phones). Using new analysis techniques, we prove that this asynchronous strategy efficiently solves gossip. This is the first known efficient asynchronous information dissemination result for the smartphone peer-to-peer setting. We argue that our new strategy can be used to implement effective information spreading subroutines in real world smartphone peer-to-peer network applications, and that the analytical tools we developed to analyze it can be leveraged to produce other broadly useful algorithmic strategies for this increasingly important setting.

关键词： gossip distributed algorithms peer-to-peer networks

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A Wireless sensor Network Testbed for Event Detection in Smart Homes

A Wireless Sensor Network Testbed for Event Detection in Sma...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Mekikis, Prodromos-Vasileios Athanasiou, George Fischione, Carlo KTH Royal Inst Technol Sch Elect Engn SE-10044 Stockholm Sweden

ISBN: (纸本)9780769550411

In smart homes, it is essential to reliably detect events including water leakages. A control action, such as shutting the water pipes, relies on reliable event detection. In this demo, a wireless sensor network for detection and localization of events in smart homes is presented. The demo is based on novel distributed detection-estimation and localization algorithms. A graphical user interface to visualize in real-time the network status is developed. Upon a detected event, the user is alerted through a Twitter notification. In the experiments the false alarm probability is improved by 30% and the average relative localization error is 1.7%.

关键词： building management systems graphical user interfaces pipelines social networking (online) wireless sensor networks

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Component-Average based distributed Seismic Tomography in sensor Networks

Component-Average based Distributed Seismic Tomography in Se...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Kamath, Goutham Shi, Lei Song, Wen-Zhan Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA

ISBN: (纸本)9780769550411

Existing volcano instrumentation and monitoring system use centralized approach for data collection and image reconstruction and they lack the capability of obtaining real time information. A new distributed method is required which can obtain a high resolution seismic tomography in real time. In this paper, we present a component-average distributed multi-resolution evolving tomography algorithm for processing data and inverting volcano tomography in the network, while avoiding centralized computation and costly data collection. The new algorithm distributes the computational burden to sensor nodes and performs real time tomographic inversion under constraints of network resources. We implemented and evaluated the algorithm in a customized simulator using synthetic data. The experiment results validate that our proposed algorithm not only balances the computation load but also achieves high data loss tolerance.(1)

关键词： distributed computing Seismic Tomography sensor Network

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Network-Aware AutoML Framework for Software-Defined sensor Networks 17

Network-Aware AutoML Framework for Software-Defined Sensor N...

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17th Annual ieee international conference on distributed computing in sensor systems (ieee dcoss)

作者： Horsanali, Emre Yigit, Yagmur Secinti, Gokhan Karameseoglu, Aytac Canberk, Berk Istanbul Tech Univ Dept Comp Engn Istanbul Turkey BTS Grp Istanbul Turkey Istanbul Tech Univ Dept AI & Data Engn Istanbul Turkey

ISBN: (纸本)9781665439299

As the current detection solutions of distributed denial of service attacks (DDoS) need additional infrastructures to handle high aggregate data rates, they are not suitable for sensor networks or the internet of things. Besides, the security architecture of software-defined sensor networks needs to pay attention to the vulnerabilities of both software-defined networks and sensor networks. In this paper, we propose a networka-ware automated machine learning (AutoML) framework, which detects DDoS attacks in software-defined sensor networks. Our framework selects an ideal machine learning algorithm to detect DDoS attacks in network-constrained environments, using the metrics such as variable traffic load, heterogeneous traffic rate, and detection time while preventing over-fitting. Our contributions are two-fold: (i) we first investigate the trade-off between the efficiency of ML algorithms and network/traffic state in the scope of DDoS detection. (ii) we design and implement a software architecture containing open-source network tools, with the deployment of multiple ML algorithms. Lastly, we show that under the denial of service attacks, our framework ensures the traffic packets are still delivered within the network with additional delays.

关键词： Automated Machine Learning (AutoML) Sofware-defined sensor Networks (SDSN) distributed Denial-of-Service (DDoS)

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Irida: A real-time Wireless sensor Network visualization feedback protocol

Irida: A real-time Wireless Sensor Network visualization fee...

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8th ieee international conference on distributed computing in sensor systems (dcoss)/IWSN/WiSARN/PWSN

作者： Karagiannis, Marios Dallinge, Laetitia Rolim, Jose Ctr Univ Informat Geneva Switzerland

ISBN: (纸本)9780769547077

In this paper, we describe the implementation of a real time visualization and feedback system for Wireless sensor Network algorithms. The system is based on a fixed hardware testbed, which is deployed on a vertical flat surface and a feedback loop system that takes information about the current state of the network and projects this state, in a visual way, on the surface itself using a video projector. The protocol used is open and simple to use, and can be easily adapted for different hardware configurations. We call our system Irida.

关键词： Wireless sensor Networks Data Visualization Tools Visualization Protocol Visual Feedback

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Information-driven sensor Selection for Energy-Efficient Human Motion Tracking

Information-driven Sensor Selection for Energy-Efficient Hum...

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9th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Tham, Chen-Khong Han, Mingding Natl Univ Singapore Dept Elect & Comp Engn Singapore 117548 Singapore

ISBN: (纸本)9780769550411

In this paper, we address the issue of human motion tracking in a smart space using a wireless sensor network with a small number of ultrasonic sensors. Ultrasonic sensing is preferable in situations where video monitoring is prohibited due to privacy concerns or is ruled out due to its higher cost and energy consumption. Unlike other common tracking techniques, the schemes proposed in this paper do not require the tracked person to wear a tag. In order to conserve energy, a single ultrasonic sensor that provides maximum information gain is selected. We use the Extended Kalman Filter (EKF) which provides robust state estimates from noisy signals as well as an uncertainty measure in the form of the state covariance, and propose the use of a process model which copes better with missed detections compared to the commonly used constant velocity process model. We propose two sensor selection schemes: (i) Current Node sensor Selection (CNSS), and (ii) distributed Neighbourhood node sensor Election (DNSE), and evaluate their performance in terms of tracking accuracy, target detection ratio and sensor network lifetime.

关键词： Kalman filters nonlinear filters object detection target tracking ultrasonic equipment wireless sensor networks

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TAU-FIVE: a Multi-Tiered Architecture for Data Quality and Energy-Sustainability in sensor Networks 12

TAU-FIVE: a Multi-Tiered Architecture for Data Quality and E...

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12th ieee Annual international conference on distributed computing in sensor systems (dcoss)

作者： Lawson, Victor J. Ramaswamy, Lakshmish Univ Georgia Dept Comp Sci Athens GA 30602 USA

ISBN: (纸本)9781509014590

Current research on wireless sensor networks "WSNs" in the Internet of Things "IoT" has focused on performance, scalability and energy efficiency. Innovations in these areas have many challenges due to the increasing volume of smart device data streams in the internet of Everything "IoE". Data feeds from future IoE systems such as the internet of vehicles, smart homes and smart-cities will need real time consolidation. This merger of technologies will require innovative big data algorithms and architectures that authenticate the data streams. A primary concern is in dynamically quantifying the data quality "DQ" of the streams while constructing real-time metrics to assess the energy efficiency "EE" of these IoE devices. In order to define the relationship between sensor stream DQ and EE, we propose our multi-tiered cloud-service architecture TAU-FIVE. The technical contributions of our framework includes data quality and energy efficiency models based on 7 DQ attributes and multiple reprogrammable smart sensors that dynamically modify and regulate the DQ and EE of a WSN. Our research maintains that WSN's can balance sustainability with quality of service by creating real-time metrics that merge energy usage with data stream integrity. This equilibrium will impact energy awareness in the IoT as the multitude of batch device data streams are integrated with the variety of social and professional networks and evolve into the IoE.

关键词： Data quality cloud computing energy model applications to sensing green networks

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