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Stress Detection via sensor Translation 16

Stress Detection via Sensor Translation

引用

16th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Samyoun, Sirat Mondol, Abu Sayeed Stankovic, John A. Univ Virginia Dept Comp Sci Charlottesville VA 22903 USA

ISBN: (数字)9781728143514

ISBN: (纸本)9781728143514

Stress increases the risk of several mental and physical health problems like anxiety, hypertension, and cardiovascular diseases. Better guidance and interventions towards mitigating the impact of stress can be provided if stress can be monitored continuously. The recent proliferation of wearable devices and their capability in measuring several physiological signals related to stress have created the opportunity to measure stress continuously in the wild. Wearable devices used to measure physiological signals are mostly placed on the wrist and the chest. Though currently chest sensors, with/without wrist sensors, provide better results in detecting stress than using wrist sensors only, chest devices are not as convenient and prevalent as wrist devices, particularly in the free-living context. In this paper, we present a solution to detect stress using wrist sensors that emulate the gold standard chest sensors. Data from wrist sensors are translated into the data from chest sensors, and the translated data is used for stress detection without requiring the users to wear any device on the chest. We evaluated our solution using a public dataset, and results show that our solution detects stress with accuracy comparable to the gold standard chest devices which are impractical for daily use.

关键词： Stress Wrist Chest sensors Physiology

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Non-intrusive Tracking of Patients With Dementia Using a Wireless sensor Network

Non-intrusive Tracking of Patients With Dementia Using a Wir...

引用

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

作者： Diaz-Ramirez, Arnoldo Murrieta, Fabian N. Atempa, Jorge A. Bonino, Francisco A. Inst Tecnol Mexicali Dept Comp Syst Mexicali Baja California Mexico

ISBN: (纸本)9780769550411

As a consequence of the aging of the world population, society and governments must face major challenges regarding people's health. In recent years, researches have been interested in investigating how the technology can be used to improve the healthcare and assistance of patients with dementia, as the Alzheimer's disease. In this paper, we propose a non-intrusive pervasive model to assist patients with dementia, based on the use of a wireless sensor network. Using high availability and low cost binary sensors, the proposed model is able to determine in real-time the location of a patient, and to emit alerts if one leaves a safe place without supervision.

关键词： Wireless sensor networks ubiquitous computing ambient intelligence healthcare pervasive applications Alzheimer's disease

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Opportunistic Routing in Underwater sensor Networks: Potentials, Challenges and Guidelines 13

Opportunistic Routing in Underwater Sensor Networks: Potenti...

引用

13th ieee international conference on distributed computing in sensor systems (dcoss)

作者： Coutinho, Rodolfo W. L. Boukerche, Azzedine EECS Univ Ottawa PARADISE Res Lab Ottawa ON Canada Univ Fed Minas Gerais Dept Comp Sci Belo Horizonte MG Brazil

ISBN: (纸本)9781538639917

Opportunistic routing (OR) has been showed efficient for the harsh and challenging scenarios of underwater wireless sensor networks (UWSNs). This routing paradigm leverages the broadcast nature of wireless communication, for improving data delivery. In contrast to traditional multi-hop routing, OR selects a subset of the neighboring nodes to be the next-hop candidate nodes, in which will participate forwarding data packets towards the destination. Hence, at each hop, a transmitted data packet is lost only if none of the next-hop candidate nodes receives it. Therefore, OR not only improves packet delivery rate, but also reduces network energy consumption since fewer retransmissions will be needed. However, the design of OR protocols for UWSNs is challenging, due to the characteristics of the underwater acoustic channel. For instance, the high and variable delay, multipath propagation, low bandwidth, and high energy consumption render impractical the use of the up to date protocols developed for wireless sensor and mesh networks. In this context, this tutorial gives a comprehensive review of the potentials and challenges of opportunistic routing in underwater sensor networks. In addition, based on an in-deep literature review, this tutorial will provide important guidelines for the design of novel protocols for different scenarios of UWSNs.

关键词： Wireless sensor networks Routing Wireless communication Protocols Ad hoc networks Underwater acoustics Tutorials

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Duty-Cycle-Aware Real-Time Scheduling of Wireless Links in Low Power WANs 14

Duty-Cycle-Aware Real-Time Scheduling of Wireless Links in L...

引用

14th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Islam, Md Tamzeed Islam, Bashima Nirjon, Shahriar Univ N Carolina Dept Comp Sci Chapel Hill NC 27599 USA

ISBN: (纸本)9781538654705

Low Power Wide Area Networks (LPWANs) are an excellent fit to city-scale IoT applications becuase of their long range and a battery life of several years, and a data rate of 25-50kbps, which is sufficient to carry IoT traffic. However, a practical limitation of a LPWAN-based real-time wireless network is the duty-cycle limit imposed on the sub-1GHz band by the FCC. In this paper, we overcome this challenge by proposing the first duty-cycle-aware wireless link scheduling algorithm for real-time LPWANs that considers the urgency of the packets as well as the availability of the wireless channels. The proposed algorithm is implemented in a five-node, wide-area outdoor test-bed in multiple real-world scenarios. Simulation results are provided to quantify its performance under different settings (e.g. larger networks, variety of workloads, and multiple baselines). In both real-world deployments and simulations, the proposed algorithm outperforms standard scheduling algorithms in terms of link schedulability, deadline misses, and buffer size.

关键词： sensor Network Real-time Scheduling LPWAN

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Efficient sensor Fault Detection Using Combinatorial Group Testing

Efficient Sensor Fault Detection Using Combinatorial Group T...

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

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

ISBN: (纸本)9780769550411

This paper introduces a novel use of concepts from combinatorial group testing and Kalman filtering in detecting faulty sensors in a network when faults are relatively rare. By assigning sensors to specific groups and performing Kalman filter-based fault detection over these groups, we can obtain a small binary detection outcome, which can be decoded to reveal the fault state of all sensors in the network. Compared to existing methods, our algorithm achieves similar or better detection accuracy with fewer tests and thus lower computational complexity. We perform extensive numerical analysis using a set of real vibration data collected from the New Carquinez Bridge in California using an 18-sensor network mounted on the bridge.

关键词： sensor networks fault detection group testing

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Opportunistic Concurrency: A MAC Protocol for Wireless sensor Networks

Opportunistic Concurrency: A MAC Protocol for Wireless Senso...

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

作者： Ma, Qiang Liu, Kebin Miao, Xin Liu, Yunhao Hong Kong Univ Sci & Technol Dept Comp Sci & Engn Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9781457705137

Traditional MAC protocols with CSMA often assume that a transmission must be deferred if the channel is busy, so they focus more on the optimization of serial transmission performance. Recent advances in physical layer like Message in Message (MIM), however, allows a receiver to reengage onto a stronger incoming signal from an ongoing transmission or interference, and thus shows the potential of parallel transmissions. Indeed, even if the channel is busy, a node still has opportunities to carry out a successful transmission. In this study, we propose Opportunistic Concurrency (OPC), a new MAC layer scheme, which enables sensor nodes to capture the opportunistic concurrency and carry out parallel transmissions instead of always waiting for a clear channel. Our experiments on a testbed consisting of 60 TelosB sensor motes identify the transmission opportunities in WSNs with OPC. Evaluation results show that OPC achieves a 17% reduction in packet latency, a 9.4% addition in throughput and a 10% reduction in power consumption compared with existing approaches.

关键词： CSMA Concurrent computing Interference MAC protocol Multiaccess communication Receivers Signal to noise ratio Throughput Wireless sensor networks access protocols message in message opportunistic concurrency parallel transmissions physical layer wireless

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Work in Progress: MiceNet: Monitoring Behaviour of Laboratory Mice with sensor Networks

Work in Progress: MiceNet: Monitoring Behaviour of Laborator...

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

作者： Stamatescu, Grigore Roemer, Kay Ludwig, Ralf Ibrahim, Saleh M. Sgarciu, Valentin Med Univ Lubeck Inst Comp Engn D-23562 Lubeck Germany Med Univ Lubeck Dept Dermatol D-23562 Lubeck Germany Univ Politehn Bucuresti Fac Automat Control & Comp Bucharest 060042 Romania

ISBN: (纸本)9781457705137

Medical research uses laboratory mice for experimental studies. Currently, symptoms are manually observed and recorded, resulting in noisy data - requiring many animals to obtain statistically significant results. We propose the use of a camera sensor network attached to mice cages as a low-cost solution for continuously monitoring mouse behavior and providing remote access to the data for scientists. The benefits of this approach are discussed along with challenges encountered in the initial phases of deployment. The proposed hardware and software architecture is described and early experimentation results are presented.

关键词： Cameras Image color analysis Laboratories Mice MiceNet system Monitoring biological techniques camera sensor network cameras hardware architecture laboratory mice behaviour monitoring system laboratory techniques remote data access remote sensing software

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Bounds on the Lifetime of WSNs

Bounds on the Lifetime of WSNs

引用

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

作者： Alonso, Juan M. Voigt, Thiemo Varshney, Ambuj Univ Nacl Cuyo ICB RA-5500 Mendoza Argentina

ISBN: (纸本)9780769550411

Energy is one of the most important resources in wireless sensor networks (WSN). Energy directly translates to lifetime which is an important ingredient of performance control in WSNs. We use an idealized mathematical model to study the impact of routing on energy consumption. We find explicit bounds on the minimal and maximal energy routings will consume, and use them to bound the lifetime of the network. We demonstrate the practical relevance of our theoretical results by experimenting with two different MAC layers, GinLITE, a MAC protocol explicitly designed for performance control, and ContikiMAC.

关键词： access protocols mathematical analysis routing protocols telecommunication network reliability wireless sensor networks

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ReFrAEN: a Reconfigurable Vibration Analysis Framework for Constrained sensor Nodes 17

ReFrAEN: a Reconfigurable Vibration Analysis Framework for C...

引用

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

作者： Thangarajan, Ashok Samraj Yang, Fan Joosen, Wouter Michiels, Sam Hughes, Danny Katholieke Univ Leuven Imec DistriNet Leuven Belgium

ISBN: (纸本)9781665439299

Vibration monitoring uses data gathered from accelerometers to study kinetic phenomena in applications such as: structural health monitoring and predictive maintenance. The Internet of Things (IoT) has the potential to greatly expand the range and scope of vibration monitoring applications by delivering long-life wireless sensors that can be cost-effectively embedded in hard to reach places such as;within machines, infrastructure or the built environment. However, achieving this vision is difficult due to the stringent resource constraints of contemporary IoT devices and networks. This has led the research community to develop a creative range of application-specific near-sensor processing firmware. However, systematic support for generic vibration monitoring on resource-poor IoT networks remains an open problem. We tackle this challenge by introducing ReFrAEN, a software framework that efficiently enables a wide range of vibration monitoring applications on IoT networks. ReFrAEN achieves this through a deeply configurable combination of compression techniques and data processing algorithms. These features allow end-users to effectively trade-off between resource consumption and data resolution in order to meet battery life constraints while preserving sufficient data quality to support the target application. Our evaluation shows that ReFrAEN is capable of identifying bearing faults, while dramatically improving battery lifetime and reducing latency in comparison to prior approaches.

关键词： IoT Near sensor Processing Vibration Monitoring

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sensor Networks for Railway Monitoring: Detecting Trains from their distributed Vibration Footprints

Sensor Networks for Railway Monitoring: Detecting Trains fro...

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

作者： Berlin, Eugen Van Laerhoven, Kristof Tech Univ Darmstadt Dept Comp Sci Darmstadt Germany

ISBN: (纸本)9780769550411

We report in this paper on a wireless sensor network deployment at railway tracks to monitor and analyze the vibration patterns caused by trains passing by. We investigate in particular a system that relies on having a distributed network of sensor nodes that individually contain efficient feature extraction algorithms and classifiers that fit the restricted hardware resources, rather than using few complex and specialized sensors. A feasibility study is described on the raw data obtained from a real-world deployment on one of Europe's busiest railroad sections, which was annotated with the help of video footage and contains vibration patterns of 186 trains. These trains were classified in 6 types by various methods, the best performing at an accuracy of 97%. The trains' length in wagons was estimated with a mean-squared error of 3.98. Visual inspection of the data shows further opportunities in the estimation of train speed and detection of worn-out cargo wheels.

关键词： feature extraction sensor data abstraction event classification railway monitoring wireless sensor networks

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