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Distributed mechanisms for enabling virtual sensors in service oriented intelligent environments

Distributed mechanisms for enabling virtual sensors in servi...

引用

4th International conference on Intelligent Environments, IE 08

作者： Bose, R. Helal, A. University of Florida Gainesville United States

ISBN: (纸本)9780863418945

sensor fusion and virtual sensors have been extensively used in applications requiring the use of high-level abstract information derived from multiple sensory inputs, ranging from defence systems to intelligent environments. In this paper, we present distributed mechanisms for enabling virtual sensors in intelligent environments using service oriented sensor networks (SOSNs). A SOSN brings the concept of service-oriented architecture (SOA) into the sensor network domain, where each sensor is represented as a software service. A SOSN enhances the programmability of sensor networks by decoupling sensor deployment from application development and allows applications to dynamically discover, access and compose sensor services. In our previous work, we had proposed a framework model running inside the service layer of a SOSN for querying virtual data and on-demand creation of virtual sensors. However, the service layer of a SOSN is centralized and this leads to scalability and latency issues in large scale deployments. In this paper, we address the issues of scalability and latency and propose distributed algorithms for in-network creation and execution of virtual sensors. We also present mechanisms for monitoring data quality and provide fault tolerance techniques utilizing sensor-based approximation for coping with the loss of multiple physical sensors. These algorithms not only allow us to reap the benefits of SOSNs but also prevent potential scalability and latency issues. We also show through simulation experiments that our mechanisms require minimal involvement of the service layer and result in significantly lower latency and energy consumption as compared to the centralized stream-based approach.

关键词： sensor networks

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A Markov game model for space threat prediction

A Markov game model for space threat prediction

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conference on Multisensor, Multisource Information fusion

作者： Shen, Dan Blasch, Erik Chen, Genshe Pham, Khanh Cruz, Jose B. Schuck, Tod Manning Intelligent Automat Inc 15400 Calhoun DrSuite 400 Rockville MD 20855 USA AFRL RYAA Dayton OH 45433 USA DCM Res Resources LLC Germantown MD 20874 USA AFRL Kirtland AFB NM 87117 USA Ohio State Univ Columbus OH 43210 USA Threat Informat Grp Moorestown NJ 08057 USA

ISBN: (纸本)9780819471659

This paper proposes a Markov (stochastic) game theoretic level-3 data fusion approach for defensive counterspace. Based on the Markov game theory and the advanced knowledge infrastructures for information fusion, the approach can enhance threat detection, validation, and mitigation for future counterspace and space situational awareness (SSA) operations. A Markov game is constructed to model the possible interactions between the dynamic and intelligent threats and friendly satellites, and effects of various space weather conditions. To systematically solve the complicated Markov game, a conversion from general Markov games into several Markov Decision Processes (MDPs) as well as some static bi-matrix games is provided. The proposed Markov game model and innovative solution are demonstrated in a numerical example.

关键词： defensive counterspace space situation awareness impact assessment effect mitigation information fusion game theory Markov decision process

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Sparse detector sensor: Profiling experiments for broad-scale classification - art. no. 69630M

Sparse detector sensor: Profiling experiments for broad-scal...

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conference on Unattended Ground, Sea, and Air sensor Technologies and applications X

作者： Russomanno, D. J. Yeasin, M. Jacobs, E. Smith, M. Sorower, S. Univ Memphis Dept Elect & Comp Engn Memphis TN 38152 USA

ISBN: (纸本)9780819471543

This paper presents a simple prototype sparse detector imaging sensor built using sixteen off-the-shelf, retro-reflective, infrared-sensing elements placed at five-inch intervals in a vertical configuration. Profiling experiments for broad-scale classification of objects, such as humans, humans wearing large backpacks, and humans wearing small backpacks were conducted from data acquired from the. sensor. Empirical analysis on models developed using fusion of various classifiers based on a diversity measure shows over ninety percent (90.07%) accuracy (using 10-fold cross validation) in categorizing sensed data into specific classes of interest, such as, humans wearing a large backpack. The results demonstrate that shadow images of sufficient resolution can be captured by the sensor such that broad-scale classification of objects is feasible. The sensor appears to be a low-cost alternative to traditional, high-resolution imaging sensors, and, after industrial packaging, it may be a good candidate for deployment in vast geographic regions in which low-cost, unattended ground sensors with-highly accurate classification algorithms are needed.

关键词： sparse imaging sensor object detection border monitoring

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Min loading max reusability fusion classifiers for sensor data model

Min loading max reusability fusion classifiers for sensor da...

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2nd International conference on sensor Technologies and applications, sensorCOMM 2008

作者： Iyer, Vasanth Garimella, Rama Murthy Srinivas, M.B. Computer Science and Engineering IIIT Gachibowli Hyderabad 500032 India Communications and Networking Research Center IIIT Hyderabad 500032 India Center for VLSI and Embedded System IIIT Hyderabad 500032 India

ISBN: (纸本)9780769533308

With the deployment of sensor network applications there is lot of breakthrough in digital or smart sensor designs. These smart sensors have a dedicated processor which allows interfacing to many sensors which measure ambient readings of temperature, pressure and humidity of the environment. These sensors once calibrated they function independently running using a self-powered battery which operates 220-mA hours of operation and smart sensor uses 2.45 uA to calibrate and measure the values giving a lifetime of 220mAh/(2.45A) = 10.25 years. A sensor network typically uses 100 to 1,000 of these sensor nodes to monitor the measured values in a given region of deployment. The modeled network use data forwarding, energy conservation and fault tolerance and some of the deployment use secure communication as these are wireless based sensors. This networking model is optimized to use very less central coordination as it is an infrastructure less protocol. Due to the nature of the sensor model we develop two categories of fusion techniques. One is purely based on distributed quantitative routing which is defined by min node loading and max node reusability fusion technique. This fusion technique initially classifies the robustness of the distributed algorithms during its lifetime by defining them as tamely faulty sensors and widely faulty sensors. This model is further qualitatively extended for decision making defined by min data redundancy and max sensor fault-tolerant using a measurement independent probability data model for each clustering algorithm. © 2008 IEEE.

关键词： Smart sensors

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Mobility-assisted Spatiotemporal Detection in Wireless sensor Networks

Mobility-assisted Spatiotemporal Detection in Wireless Senso...

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28th International conference on Distributed Computing Systems

作者： Xing, Guoliang Wang, Jianping Shen, Ke Huang, Qingfeng Jia, Xiaohua So, Hing Cheung City Univ Hong Kong Dept Comp Sci Hong Kong Hong Kong Peoples R China PARC Inc Palo Alto CA USA City Univ Hong Kong Dept Elect Engn Hong Kong Peoples R China

ISBN: (纸本)9781424431748

Wireless sensor networks (WSNs) deployed for mission-critical applications face the fundamental challenge of meeting stringent spatiotemporal performance requirements using nodes with limited sensing capacity, Although advance network planning and dense node deployment may initially achieve the required performance, they often fail to adapt to the unpredictability of physical reality. This paper explores efficient we of mobile sensors to address the limitations of static WSNs in target detection. We propose a data fusion model that enables static and mobile sensors to effectively collaborate in target detection. An optimal sensor movement scheduling algorithm is developed to minimize the total moving distance of sensors, while achieving a set of spatiotemporal performance requirements including high detection probability, low system false alarm rate and bounded detection delay. The effectiveness of our approach is validated by extensive simulations based on real data traces collected by 23 sensor nodes.

关键词： Scheduling algorithms

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The use of a multidimensional space for fusion candidate representation in a maritime domain awareness application

The use of a multidimensional space for fusion candidate rep...

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conference on Multisensor, Multisource Information fusion

作者： Lefebvre, Eric Helleur, Christopher Kashyap, Nathan Lockheed Martin Canada 6111 Royalmount Montreal PQ H4P 1K6 Canada Def Res & Dev Canada Ottawa ON K1A 0Z4 Canada

ISBN: (纸本)9780819471659

Maritime surveillance of coastal regions requires operational staff to integrate a large amount of information from a variety of military and civilian sources. The diverse nature of the information sources makes complete automation difficult. The volume of vessels tracked and the number of sources makes it difficult for the limited operation centre staff to fuse all the information manually within a reasonable timeframe. In this paper, a conceptual decision space is proposed to provide a framework for automating the process of operators integrating the sources needed to maintain Maritime Domain Awareness. The decision space contains all potential pairs of ship tracks that are candidates for fusion. The location of the candidate pairs in this defined space depends on the value of the parameters used to make a decision. In the application presented, three independent parameters are used: the source detection efficiency, the geo-feasibility, and the track quality. One of three decisions is applied to each candidate track pair based on these three parameters: 1. to accept the fusion, in which case tracks are fused in one track, 2. to reject the fusion, in which case the candidate track pair is removed from the list of potential fusion, and 3. to defer the fusion, in which case no fusion occurs but the candidate track pair remains in the list of potential fusion until sufficient information is provided. This paper demonstrates in an operational setting how a proposed conceptual space is used to optimize the different thresholds for automatic fusion decision while minimizing the list of unresolved cases when the decision is left to the operator.

关键词： Maritime Domain Awareness track-to-track fusion Recognized Maritime Picture conceptual space automatic decision

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Tracking of extended objects and group targets using random matrices - A new approach

Tracking of extended objects and group targets using random ...

引用

11th International conference on Information fusion, fusion 2008

作者： Feldmann, Michael Fränken, Dietrich D-53343 Wachtberg Germany Data Fusion Algorithms and Software EADS Deutschland GmbH D-89077 Ulm Germany

ISBN: (纸本)9783000248832

The task of tracking extended objects or (partly) unresolvable group targets raises new challenges for both data association and track maintenance. Extended objects may give rise to more than one detection per opportunity where the scattering centers may vary from scan to scan. On the other end, group targets (i. e., a number of closely spaced targets moving in a coordinated fashion) often will not cause as many detections as there are individual targets in the group due to limited sensor resolution capabilities. In both cases, tracking and data association under the one target-one detection assumption are no longer applicable. This paper deals with the problem of maintaining a track for an extended object or group target with varying number of detections. Herein, object extension is represented by a random symmetric positive definite matrix. A recently published Bayesian approach to tackling this problem is analyzed and discussed. From there, a new approach is derived that is expected to overcome some of the weaknesses the Bayesian approach suffers from in certain applications.

关键词： Target tracking

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Directional controlled fusion in wireless sensor networks 5

Directional controlled fusion in wireless sensor networks

引用

5th International ICST conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness, QShine 2008

作者： Chen, Min Leung, Victor Mao, Shiwen Dept. of Elect and Comp Eng Univ. of British Columbia V6T 1Z4 Canada Dept. of Elect and Comp Eng Auburn Univ. AuburnAL36849 United States

ISBN: (纸本)9789639799264

Though data redundancy can be eliminated at aggregation point to reduce the amount of sensory data transmissions, it introduces new challenges due to multiple flows competing for the limited bandwidth in the vicinity of the aggregation point. On the other hand, waiting for multiple flows to arrive at a centralized node for aggregation not only uses precious memory to store these flows but also increases the delays of sensory data delivery. While traditional aggregation schemes can be characterized as "multipath converging", this paper proposes the use of "multipath expanding" to solve the above problems by exploiting both data fusion and load balancing. We propose a novel directional-controlled fusion (DCF) scheme, which includes two key algorithms, i.e., directional control and multipath fusion. By adjusting a key parameter named multipath fusion factor in DCF, the trade-offs between multipath-converging and multipath-expanding can be easily achieved, in order to satisfy specific QoS requirements from various applications. We present extensive simulations that verify the effectiveness of the proposed scheme. © Copyright 2008 ICST.

关键词： Wireless sensor networks

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An Ontology based Approach to Intelligent Data Mining for Environmental Virtual Warehouses of sensor Data

An Ontology based Approach to Intelligent Data Mining for En...

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IEEE International conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems

作者： Trifan, M. Ionescu, Bogdan Ionescu, Dan Prostean, O. Prostean, G. Univ Ottawa Sch Informat Technol & Engn Ottawa ON K1N 6N5 Canada Tech Univ Timisoara Fac Control & Comp RO-1900 Timisoara Romania

ISBN: (纸本)9781424419272

The rapid development of sensor technology led to large deployments of collections of sensing nodes working together to collect information for light, temperature, atmospheric pressure, air pollutions parameters, images, and other relevant data according to specific Environmental applications. The ability of the sensor networks to collect information accurately and reliably enables building both real-time detection and early warning systems. Environment parameter measurement and supervision received a lot of attention from both academic and industrial research communities around the world. applications supporting decisions for rapid coordinated responses to threats such as bushfires, tsunamis, earthquakes, and other crisis situation have been devised In this paper a combined ontology and rule-bases intelligent system build over a platform for sensor data warehousing for decision support is introduced A combined ontology of sensor networks and sensor data for environment parameter measurement is designed and discussed A set of rule-based systems each tailored to a domain of networked sensors are linked together through a middle-layer of rule-base systems which reason with facts classified and structured as instances of the common sensor ontology. A set of meta-rules direct the intelligent activity of the whole system and requires individual rule-based systems to reason upon specific facts. The paper will also discuss the architecture and algorithms for data mining, fusion and reasoning for specific situation in Environment monitoring and supervision. Results obtained from experiments performed on the system prototype are given at the end of this paper

关键词： Environment data rule-based system data warehouse architecture decision making support system distributed systems

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An advanced air data system architecture for space reentry applications based on sensor fusion algorithms

An advanced air data system architecture for space reentry a...

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作者： Nebula, Francesco Palumbo, Roberto Morani, Gianfranco Corraro, Federico Italy Flight System Department Italy

ISBN: (纸本)9781563479458

In this paper we propose an advanced air data system architecture based on the concept of Virtual Air Data (VAD). VAD are virtual measurements based on the combination of inertial measurements with weather forecast data coming from a meteorological model. This model can be considered as a virtual sensor that provides information on wind velocities, air temperature and air pressure. A sensor fusion algorithm is then used to determine an estimate of the true air speed components. This kind of approach allows to overcome most of the typical limitations of traditional air data probes and does not require any specific experimental or CFD calibration campaign, nor requires any thermal protection system when dealing with re-entry applications. We also report some preliminary results, based on the post flight analysis of the Dropped Transonic Flight Test mission carried out by the Italian Aerospace Research Center (CIRA). © 2008 by the American Institute of Aeronautics and Astronautics, Inc.

关键词： Weather forecasting

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