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检索条件"任意字段=First IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS 2005"

共 1161 条记录，以下是421-430 订阅

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Using Feedback Control within WSN's to meet Application Requirements

Using Feedback Control within WSN's to meet Application Requ...

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

作者： Fairbairn, Mark Louis Bate, Iain Univ York Dept Comp Sci York YO10 5GH N Yorkshire England

ISBN: (纸本)9780769550411

Currently the main approach used to save power within WSN's is to employ reactive MAC schemes that detect when the network is becoming busy and adapt to provide an increase in available bandwidth. Once the traffic becomes lighter the available bandwidth is reduced to save power. While this works well with bursty sporadic traffic, there is a clear trade-off between latency of response and power savings. Other problems with this approach include hard to derive parameters along with their poor performance in periodic sense-and-send applications due to their reactive nature. We propose an adaptive feedback-based scheme that adjusts the duty cycle of the the motes to reduce the power consumed in typical sense-and-send applications by 58.4%, while still meeting a minimal level of service specified by the operator. Such an adaptive scheme is necessary to minimise power consumption as the complete network characteristics are unknown prior to deployment, and can change during runtime. Our approach is independent of node distribution and is also MAC layer agnostic, unlike the current state-of-the-art, whilst consuming less power. Our approach provides a simple method for the application designer to modify its behaviour, whilst allowing WSNs to operate longer and provide the same level of service as current approaches.

关键词： access protocols adaptive control feedback telecommunication control telecommunication power management wireless sensor networks

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Wireless Communication Infrastructure for a Short-Range Unmanned Aerial

Wireless Communication Infrastructure for a Short-Range Unma...

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international conference on Advanced Information Networking and Applications Workshops (AINAW)

作者： J.P. Bodanese G.M. de Araújo C. Steup G.V. Raffo L.B. Becker Department of Automation and Control Systems Federal University of Santa Catarina Florianópolis Brazil Department of Distributed Systems Otto-Von-Guericke-Univesität Magdeburg Germany Electronic Engineering Department Federal University of Minas Gerais Belo Horizonte Brazil

This paper describes a low cost wireless communication infrastructure designed for a short-range Unmanned Aerial Vehicle (UAV). It aims at providing a communication link between the UAV and a base station and also additional links that may allow collecting data from a remote Wireless sensor Network (WSN). The challenge here is using the same hardware to communicate with potential heterogeneous devices and using different protocols. The paper details the software layer designed to support a reliable communication with the base station, as well a highly efficient best-effort communication with nodes from a WSN. For both cases, a single ieee 802.15.4 extended range transceiver is used. To demonstrate the proposed infrastructure, two different utilization scenarios were implemented and tested. The first consists of the UAV node communicating with spatially distributed sensors on the ground. In the second scenario, the UAV node delivers the collected data to the base station. Both communication scenarios are very different in terms of connection time and other communication requirements. Obtained results show that the proposed solution attends the related challenges.

关键词： Wireless sensor networks sensors Base stations Protocols ieee 802.15 Standards Reliability Peer-to-peer computing

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An implementation of wireless sensor network in monitoring of Parkinson's patients using received signal strength indicator

An implementation of wireless sensor network in monitoring o...

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9th ieee international conference on distributed computing in sensor systems, dcoss 2013

作者： Jamthe, Anagha Chakraborty, Suryadip Ghosh, Saibal K. Agrawal, Dharma P. School of Computing Sciences and Informatics University of Cincinnati Cincinnati OH 45221-0008 United States

Remote monitoring of patients with movement disorders is currently being researched extensively with the help of Wireless Body Area sensor Network (WBASN). e-Healthcare is one such popular WBASN application. We focus our research addressing an important issue of wireless monitoring of patients suffering from Parkinson's Disease (PD) for fall detection in order to avoid potential injuries. We also propose a non-invasive, wireless technique that could detect multiple occurrences of Freezing of Gait (FoG) over single or multiple days of observation. For wireless monitoring of patients, we would embed wireless sensors in patient's vicinity, such as his room and determine the values of Received Signal Strength Indicator (RSSI) from these sensors. RSSI can thus be used as one of the measures to detect falls of PD patients. Our initial results of embedding force sensors in person's shoe, suggest that it can be used to detect and record the number of occurrences of FoG, which is hard to reproduce at doctor's clinic, due to its relation with patient's consciousness at the hospital. We also propose to derive different mobility patterns for a PD patient based on the RSSI values during a day's activity and then train the system for intelligent analysis in future. © 2013 ieee.

关键词： Fall detection

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Using a Time Series of Satellite Imagery to Study the Wild Birds' Migration 4

Using a Time Series of Satellite Imagery to Study the Wild B...

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4th international conference on Networking and distributed computing (ICNDC)

作者： Zhang, HaiMing Li, JianHui Zhou, YuanChun Wang, XueZhi Yan, BaoPing Chinese Acad Sci Comp Network Informat Ctr Beijing Peoples R China

ISBN: (纸本)9781479930463

The first major outbreak of HPAI H5N1 virus in wild waterbirds took place in Qinghai Lake, western China, May 2005. During fall/winter of 2005 and spring 2006, H5N1 virus spread rapidly over Asia, Europe, and Africa. One hypothesis for the global patterns and dynamics of the spread of H5N1 virus is that seasonally migratory wild waterbirds may carry the virus and spread it along migratory flyways. Since 2007, Tens of waterbirds had been marked with GPS transmitters to get the migration tracks in Qinghai Lake. Satellite remote sensing is a useful tool to help analyzing the birds' GPS tracks. In this paper, we take advantage of Moderate Resolution Imaging Spectroradiometer (MODIS) sensor images to study the birds' migration patens. How to process and use the massive remote sensing images efficiently across computer cluster is discussed detailedly. At last, land surface temperature and cloud coverage information are obtained and used to study the wild birds' migration.

关键词： distributed Processing Bird Migration MODIS Imagery Qinghai Lake

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Supero: A sensor System for Unsupervised Residential Power Usage Monitoring

Supero: A Sensor System for Unsupervised Residential Power U...

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11th Annual ieee international conference on Pervasive computing and Communications (PerCom)

作者： Phillips, Dennis E. Tan, Rui Moazzami, Mohammad-Mahdi Xing, Guoliang Chen, Jinzhu Yau, David K. Y. Michigan State Univ Dept Comp Sci & Engn E Lansing MI 48824 USA Illinois Singapore Adv Digital Sci Ctr Singapore Singapore Purdue Univ W Lafayette IN 47907 USA

ISBN: (纸本)9781467345750;9781467345736

As a key technology of home area networks in smart grids, fine-grained power usage monitoring may help conserve electricity. Several existing systems achieve this goal by exploiting appliances' power usage signatures identified in labor-intensive in situ training processes. Recent work shows that autonomous power usage monitoring can be achieved by supplementing a smart meter with distributed sensors that detect the working states of appliances. However, sensors must be carefully installed for each appliance, resulting in high installation cost. This paper presents Supero - the first ad hoc sensor system that can monitor appliance power usage without supervised training. By exploiting multi-sensor fusion and unsupervised machine learning algorithms, Supero can classify the appliance events of interest and autonomously associate measured power usage with the respective appliances. Our extensive evaluation in five real homes shows that Supero can estimate the energy consumption with errors less than 7.5%. Moreover, non-professional users can quickly deploy Supero with considerable flexibility.

关键词： ad hoc networks distributed sensors learning (artificial intelligence) monitoring power engineering computing power grids sensor fusion smart meters

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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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ieee international conference on distributed computing in sensor systems

作者： Chun Lo Mingyan Liu Jerome P. Lynch Electrical Engineering & Computer Science University of Michigan Ann Arbor Civil and Environmental Engineering University of Michigan Ann Arbor

ISBN: (纸本)9781479902064

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： verification Fault Diagnosis Wireless sensor Networks Wireless sensor networks Fault diagnosis sensors Verification Pairing Distributive faults linear models algorithms

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Networked Sensing and distributed Kalman-Bucy Filtering based on Dynamic Average Consensus

Networked Sensing and Distributed Kalman-Bucy Filtering base...

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ieee international conference on distributed computing in sensor systems

作者： Jemin George the U.S. Army Research Laboratory Adelphi MD 20783 USA

ISBN: (纸本)9781479902064

This paper presents the formulation of distributed Kalman-Bucy filter algorithm for a network of autonomous sensors, which is modeled as a connected undirected graph. Development of the distributed Kalman-Bucy filter is formulated as two average consensus problems in terms of weighted inverse of measurement noise covariance matrices and weighted measurements. The proposed algorithm utilizes the static average consensus protocol to solve the first consensus problem and the proportional-integral based dynamic average consensus protocol to solve the latter. The distributed Kalman-Bucy filter algorithm is optimal in the sense that the performance of the proposed algorithm asymptotically approaches that of a centralized filter. Numerical simulations are presented to demonstrate the performance of the proposed scheme.

关键词： Kalman-Bucy Dynamic Average Consensus Networked Sensing Filtering algorithms Distribute

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distributed computing Framework for Underwater Acoustic sensor Networks

Distributed Computing Framework for Underwater Acoustic Sens...

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ieee international conference on distributed computing in sensor systems

作者： Parul Pandey Dario Pompili Department of Electrical and Computer Engineering Rutgers University New Brunswick NJ

ISBN: (纸本)9781479902064

The goal of this paper is to enable near-realtime acquisition and processing of high resolution, high-quality, heterogeneous data from mobile and static sensing platforms to advance ocean exploration by providing infrastructure for a distributed computing framework. Reaching this goal will improve the efficiency of monitoring dynamic oceanographic phenomena such as phytoplankton growth and rate of photosynthesis, salinity and temperature gradient, and concentration of pollutants. resource provisioning framework for organizing the heterogeneous sensing, computing, and communication capabilities of static and mobile devices in the vicinity in order to form an elastic resource pool a hybrid static/mobile computing grid is presented. This local computing grid can be harnessed to enable innovative data-and compute-intensive mobile applications such as onshore near-real-time data processing, analysis and visualization, mission planning and online ocean adaptive sampling.

关键词： goal sensor Networks Framework Frameworks Ocean exploration distributed computing computational grids sensor networks Wireless sensor networks acoustic transducers Mobile devices

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Lightweight Software Model for Target Localization in Wireless sensor Networks

Lightweight Software Model for Target Localization in Wirele...

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ieee international conference on distributed computing in sensor systems

作者： Rajiv Misra Shailendra Shukla Vivek Chandel Indian Institute of Technology Patna TCS Innovation lab Kolkata

ISBN: (纸本)9781479902064

In this poster, we present a new lightweight multithreaded software model for target location detection system. Our localization algorithm is based on trilateration using RSSI for *** work can be applied for collecting the location information of mobile sensor nodes in the network. Our software runs on the sensor nodes and on the base station. To support our clam we performed experimental analysis on telosb motes.

关键词： Localization RSSI Trilateration Software Model Wireless sensor Networks Tracking Experimentation trilateration Received Signal Strength Indicator Wireless sensor networks experimentation tracking computer software network node Lightweight

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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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ieee international conference on distributed computing in sensor systems

作者： Prodromos-Vasileios Mekikis George Athanasiou Carlo Fischione School of Electrical Engineering KTH - Royal Institute of Technology Osquldas V?g 10 SE-10044 Stockholm Sweden

ISBN: (纸本)9781479902064

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： sensor Network Event Detection Smart Homes Event detection Smart homes Wireless sensor networks Water pipe sensor networks control action

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