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检索条件"任意字段=9th IEEE International Conference on Distributed Computing in Sensor Systems, DCoSS 2013"

共 236 条记录，以下是1-10 订阅

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distributed computing Framework for Underwater Acoustic sensor Networks

Distributed Computing Framework for Underwater Acoustic Sens...

引用

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

作者： Pandey, Parul Pompili, Dario Rutgers State Univ Dept Elect & Comp Engn New Brunswick NJ 08903 USA

ISBN: (纸本)9780769550411

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： mobile computing underwater acoustic communication wireless sensor networks

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

作者： Misra, Rajiv Shukla, Shailendra Chandel, Vivek Indian Inst Technol Patna Bihar India

ISBN: (纸本)9780769550411

In this poster, we present a new lightweight multi-threaded software model for target location detection system. Our localization algorithm is based on trilateration using RSSI for ranging. this 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

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

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

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

作者： George, Jemin US Army Res Lab Adelphi MD 20783 USA

ISBN: (纸本)9780769550411

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 filters graph theory protocols sensor fusion 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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Iterative sensor Node Deployment with Channel Quality Feedback

Iterative Sensor Node Deployment with Channel Quality Feedba...

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

作者： Funke, Rafael Frey, Hannes Univ Paderborn Paderborn Germany

ISBN: (纸本)9780769550411

A wireless sensor network is of no use if it does not support proper communication among the sensor nodes. It is thus important to deploy sensor nodes such that high quality links are available for any communication path required during sensor network operation. In this work we describe a deployment algorithm which takes the link qualities between neighboring nodes of already deployed nodes into account to decide the right position for the next node to be deployed. We compare our approach with the well known regular triangle tessellation deployment. Simulation results show that when both approaches cover the same area, in our approach sink based and unicast communication works visibly better in terms of bit error rate.

关键词： iterative methods wireless sensor networks

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Bounds on the Lifetime of WSNs

Bounds on the Lifetime of WSNs

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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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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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Multiple sensor Skewed Covariance Target Localization

Multiple Sensor Skewed Covariance Target Localization

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

作者： Naimark, Leonid Kramian Inc Brookline MA USA

ISBN: (纸本)9780769550411

A cost-effective approach to improve tracking system accuracy is to employ two or more inexpensive sensors. For example, a radar that exhibits good range, but relatively poor cross-range accuracy may be operated in concert with a camera possessing inverted properties. For each separate sensor, we assume that the target location error is represented by a bivariate Gaussian distribution with an elliptical constant probability contour. the problem posed is that of fusing data from these sensors to produce single-frame location coordinate estimates for a target. One of the methods proposed in the past is covariance intersection which assumes that all sensor measurements are uncorrelated. In this paper, we present a generalized method that provides localization coordinate estimation when sensor estimate distributions are skewed. We show that for a variety of practically important cases, our method offers substantially improved performance over conventional approaches. Based on our results, it is possible to segment the tracking volume into sub-volumes.

关键词： Multi-sensor Tracking Covariance Intersection Multi-static Multi-function sensor systems

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