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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381-390 订阅

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

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

引用

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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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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State Estimation in Spatially distributed Cyber-Physical systems: Bounds on Critical Measurement Drop Rates

State Estimation in Spatially Distributed Cyber-Physical Sys...

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

作者： Deshmukh, Siddharth Natarajan, Balasubramaniam Pahwa, Anil Kansas State Univ Dept Elect & Comp Engn Manhattan KS 66506 USA

ISBN: (纸本)9780769550411

In this paper, we analyze Kalman filter (KF) based state estimation in spatially distributed cyber-physical systems. We consider a practical scenario, where sensors are arbitrarily deployed over an area to jointly sense a linear dynamical system. The sensors directly communicate their observations to a central state estimation unit over a lossy network resulting in: (1) random measurement losses;(2) partial observation updates in the Kalman filter. We analyze the stability of the state estimation process in this scenario, by establishing the conditions under which its steady state error covariance matrix is bounded. In contrast to previous pioneering work with intermittent observations [1], we consider a dispersed measurement scenario and establish bounds on critical measurement loss rates of individual sensor communication links. The analysis illustrates the trade-off between state estimation accuracy and the quality of underlying communication network. Our analysis is critical to quantify the stability of control operation for safe and efficient operation of a cyber-physical system.

关键词： Kalman filters covariance matrices wireless sensor networks

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Context-Aware Community: Integrating Contexts with Contacts for Proximity-Based Mobile Social Networking

Context-Aware Community: Integrating Contexts with Contacts ...

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

作者： Yu, Na Han, Qi Colorado Sch Mines Dept Elect Engn & Comp Sci Golden CO 80401 USA

ISBN: (纸本)9780769550411

sensor-equipped mobile devices have allowed users to participate in various social networking services while they are on the go. We focus on proximity-based mobile social networking environments where users share information obtained from different places via their mobile devices when they are in proximity. Since people are more likely to share information if they can benefit from the sharing or if they think the information is of interest to others, there might exist community structures where users who share information more often are grouped together. Communities in proximity-based mobile social networks represent social groups where connections are built when people are in proximity. We consider information influence (i.e., specify who shares information with whom) as the connection, and the space and time related to the shared information as the social contexts. To model the potential information influences, we construct an influence graph by integrating the social contexts into the contacts of mobile users. Further, we propose a two-phase strategy to detect and track context-aware communities based on the influence graph and show how the context-aware community structure improves the performance of two types of mobile social applications.

关键词： mobile computing mobile handsets social networking (online) 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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Probe-based Transmission Power Control for Dependable Wireless sensor Networks

Probe-based Transmission Power Control for Dependable Wirele...

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

作者： Poettner, Wolf-Bastian Wolf, Lars Tech Univ Carolo Wilhelmina Braunschweig Inst Operating Syst & Comp Networks IBR D-38106 Braunschweig Germany

ISBN: (纸本)9780769550411

Dependable Wireless sensor Networks for industrial process automation, monitoring and control applications have high demands regarding network reliability in terms of timely delivery and packet loss. In large industrial facilities, interference between neighboring networks is a major problem that can be mitigated by reducing the radio transmission power to the necessary minimum. However, reliability of the network should not be compromised even in spite of packet loss bursts. In this paper we aim at keeping the link within certain burstiness bounds while still minimizing the transmission power. We present evaluation results showing that the burstiness changes with the receiver signal strength. Based on this observation we present two mechanisms for dependable wireless sensor networks and study the performance in our testbed.

关键词： power control telecommunication control telecommunication network reliability telecommunication power management wireless sensor networks

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Efficient Wireless Recharging in sensor Networks

Efficient Wireless Recharging in Sensor Networks

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

作者： Angelopoulos, Constantinos Marios Nikoletseas, Sotiris Raptis, Theofanis P. Comp Technol Inst & Press Diophantus CTI Athens Greece

ISBN: (纸本)9780769550411

We study the problem of efficient wireless energy recharging in Wireless Rechargeable sensor Networks (WRSN). In such networks a special mobile entity (called the Mobile Charger) traverses the network and wirelessly replenishes the energy of sensor nodes. In contrast to most current approaches, we envision methods that are distributed and adaptive and use limited network information. Also, our methods can be used together with any underlying routing protocol (since they implicitly adapt to it). We propose alternative strategies for efficient recharging, addressing key issues of wireless recharging which we identify, most notably (i) to what extent each sensor should be recharged (ii) what are good trajectories the MC should follow. A simulation evaluation indicates significant performance gains in the network lifetime. Actually, the partial knowledge charging protocol's performance gets quite close to the performance of the centralized, global knowledge method and perform particularly well in heterogeneous networks.

关键词： routing protocols wireless sensor networks

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Chemistry-Inspired Algorithm for Emergent distributed Consensus in WSNs

Chemistry-Inspired Algorithm for Emergent Distributed Consen...

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

作者： Monti, Massimo Tschudin, Christian F. Sanguinetti, Luca Luise, Marco Univ Basel Dept Math & Comp Sci Basel Switzerland

ISBN: (纸本)9780769550411

In wireless sensor and actor networks (WSANs), nodes collaborate to accomplish distributed sensing and computation. One of the most attractive features is that global macro-behaviors in the network emerge from local micro-actions in and interactions between nodes. In this paper, we review a recently proposed approach, which bases on a chemical metaphor and its related theory, to design, analyze, and implement systems with such an emerging property. As an example of distributed, emerging computation in WSNs, we extend an existing gossip-like chemistry-inspired protocol (the "Disperser") and propose a new chemically driven solution to consensus problems that is applicable in WSNs. We analyze it with a signal processing approach and validate results through simulations. The proposed chemical algorithm is not based on the iterative packet-exchange but rather on a continuous rate-modulation. The algorithm is thought to lie at the physical layer and to directly control the basic transmission hardware of the nodes in a sort of protocol-less operation mode.

关键词： Broadcast Chemistry-Inspired Algorithms distributed Consensus Emergent Behavior Gossip Self-organization

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Imaging Seismic Tomography in sensor Network

Imaging Seismic Tomography in Sensor Network

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

作者： Shi, Lei Song, Wen-Zhan Xu, Mingsen Xiao, Qingjun Kamath, Goutham Lees, Jonathan M. Xing, Guoliang Georgia State Univ Dept Comp Sci Atlanta GA 30303 USA

ISBN: (纸本)9780769550411

Tomography imaging, applied to seismology, requires a new, decentralized approach if high resolution calculations are to be performed in a sensor network configuration. The real-time data retrieval from a network of large-amount wireless seismic nodes to a central server is virtually impossible due to the sheer data amount and resource limitations. In this paper, we present a distributed multi-resolution evolving tomography algorithm for processing data and inverting volcano tomography in the network, while avoiding costly data collections and centralized computations. The new algorithm distributes the computational burden to sensor nodes and performs real-time tomography inversion under the constraints of network resources. We implemented and evaluated the system design in the CORE emulator. The experiment results validate that our proposed algorithm not only balances the computation load, but also achieves low communication cost and high data loss-tolerance.

关键词： distributed computing In-network Processing Seismic Tomography sensor Network

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Decentralized Bayesian Estimation with Quantized Observations: Theoretical Performance Bounds

Decentralized Bayesian Estimation with Quantized Observation...

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

作者： Mohammadi, Arash Asif, Amir Zhong, Xionghu Premkumar, A. B. York Univ Toronto ON M3J 1P3 Canada

ISBN: (纸本)9780769550411

The posterior Cramer Rao lower bound (PCRLB) has recently been proposed as an effective selection criteria for sensor resource management in large, geographically distributed sensor networks. Existing algorithms (in particular the decentralized approaches with no central fusion centre) designed for computing the PCRLB are based on raw observations resulting in significant communication overhead from the sensor nodes to the associated local processing nodes. The paper derives distributive computational techniques for determining the PCRLB for quantized sensor networks configured using decentralized architectures. We refer to the distributed computation of the PCRLB as dPCRLB. The main contribution of the paper is extending the dPCRLB algorithm [1] to quantized observations that leads to significant savings in the communication overhead over its counterparts that use raw observations. In our Monte Carlo simulations, we show that the proposed dPCRLB closely follows the centralized bound based on quantized observations. As expected, there is potential performance loss with quantization as is illustrated by the difference between the dPCRLBs computed using raw and quantized observations. The drop in the estimator's performance is, however, compensated for with an increase in the number of quantization levels associated with the observation quantizer.

关键词： Data fusion Decentralized estimation Multi-sensor tracking sensor networks

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