Conferences related to Distributed Sensor Networks

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2020 IEEE International Symposium on Information Theory (ISIT)

Information theory, coding theory, communication theory, signal processing, and foundations of machine learning


2020 IEEE 23rd International Conference on Information Fusion (FUSION)

The International Conference on Information Fusion is the premier forum for interchange of the latest research in data and information fusion, and its impacts on our society. The conference brings together researchers and practitioners from academia and industry to report on the latest scientific and technical advances.


ICC 2020 - 2020 IEEE International Conference on Communications

All topics relating to existing and emerging communications networking technologies.


IEEE INFOCOM 2020 - IEEE Conference on Computer Communications

IEEE INFOCOM solicits research papers describing significant and innovative researchcontributions to the field of computer and data communication networks. We invite submissionson a wide range of research topics, spanning both theoretical and systems research.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.



Periodicals related to Distributed Sensor Networks

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Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Communications Letters, IEEE

Covers topics in the scope of IEEE Transactions on Communications but in the form of very brief publication (maximum of 6column lengths, including all diagrams and tables.)


Communications Magazine, IEEE

IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...


Communications Surveys & Tutorials, IEEE

Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...



Most published Xplore authors for Distributed Sensor Networks

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Xplore Articles related to Distributed Sensor Networks

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Ballistic missile surveillance sensor scheduling of distributed sensor networks

Proceedings of 2012 2nd International Conference on Computer Science and Network Technology, 2012

This paper presents a new algorithm to solve the problem of sensor scheduling for tracking a missile with distributed sensor networks. The missile state is estimated by sensors of distributed space (surveillance satellites), near- space (balloon, aero boat), air (surveillance airplane) and ground (surveillance radar). The resources of different warning platforms were analyzed and the main tasks and difficulty were ...


High resolution subsurface imaging of deep targets based on distributed sensor networks

2009 IEEE International Geoscience and Remote Sensing Symposium, 2009

A realistic forward model based on a near-ground distributed sensor grid for a target buried under soil is devised. The soil medium is modeled as a planar stratified medium with a complex dielectric constant profile. The Dyadic Green's function for multilayer dielectric is used to compute the electric field at the target. A high resolution inversion algorithm based on phase- ...


A cooperative target detection algorithm based on distributed sensor networks

2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC), 2017

In order to deal with the problem that the detection performance of sensor networks is easily subject to environmental influence, here proposed is a cooperative target detection algorithm of multi-sensor nodes based on adaptive iterative threshold which lies on Neyman-Pearson (N-P) Criterion: Each sensor node makes a preliminary decision, and processes an adaptive iterative threshold according to the environmental noise; ...


On computing mobile agent routes for data fusion in distributed sensor networks

IEEE Transactions on Knowledge and Data Engineering, 2004

The problem of computing a route for a mobile agent that incrementally fuses the data as it visits the nodes in a distributed sensor network is considered. The order of nodes visited along the route has a significant impact on the quality and cost of fused data, which, in turn, impacts the main objective of the sensor network, such as ...


Fault Reconstruction and State Estimator Design for Distributed Sensor Networks in Multitarget Tracking

IEEE Transactions on Industrial Electronics, 2015

This paper presents two sets of estimator designs for distributed sensor networks in multitarget tracking under signal transmission faults due to the uncertain environments. A two-target tracking sensor network model is then established. Based on the tracking error systems, new augmented systems are proposed. It is proved that, using these systems, one can construct two different sets of estimators. The ...



Educational Resources on Distributed Sensor Networks

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IEEE-USA E-Books

  • Ballistic missile surveillance sensor scheduling of distributed sensor networks

    This paper presents a new algorithm to solve the problem of sensor scheduling for tracking a missile with distributed sensor networks. The missile state is estimated by sensors of distributed space (surveillance satellites), near- space (balloon, aero boat), air (surveillance airplane) and ground (surveillance radar). The resources of different warning platforms were analyzed and the main tasks and difficulty were presented. Finally, we use the Particle Swarm Optimization to find a sati factional sensor schedule.

  • High resolution subsurface imaging of deep targets based on distributed sensor networks

    A realistic forward model based on a near-ground distributed sensor grid for a target buried under soil is devised. The soil medium is modeled as a planar stratified medium with a complex dielectric constant profile. The Dyadic Green's function for multilayer dielectric is used to compute the electric field at the target. A high resolution inversion algorithm based on phase- conjugation approach to detect deeply submerged targets is also presented. The sensor network is setup to enhance the lateral resolution by forming a synthetic aperture. The depth resolution is improved by using bandwidth. So as to improve the efficiency of the search algorithm a soil dielectric model to predict the real and imaginary parts of the dielectric constant from the volumetric soil moisture for a given soil textural composition is extended to the frequency of interest (VHF) resulting in less number of variables.

  • A cooperative target detection algorithm based on distributed sensor networks

    In order to deal with the problem that the detection performance of sensor networks is easily subject to environmental influence, here proposed is a cooperative target detection algorithm of multi-sensor nodes based on adaptive iterative threshold which lies on Neyman-Pearson (N-P) Criterion: Each sensor node makes a preliminary decision, and processes an adaptive iterative threshold according to the environmental noise; and the decision result and credibility value of each node will be sent to the fusion center to obtain optimal system decision on the basis of N-P Criterion; gradually, an cooperative target detection algorithm of sensor networks, which is adaptive to the environment, can be formed. Simulation results show that: under certain environmental noise, for each sensor node, the false alarm probability averagely decreases by 33.7% while the detection probability decreases by only 12.7% with the proposed algorithm, and also for the detection system, the detection probability averagely increases 5%-15% under a constant false alarm probability.

  • On computing mobile agent routes for data fusion in distributed sensor networks

    The problem of computing a route for a mobile agent that incrementally fuses the data as it visits the nodes in a distributed sensor network is considered. The order of nodes visited along the route has a significant impact on the quality and cost of fused data, which, in turn, impacts the main objective of the sensor network, such as target classification or tracking. We present a simplified analytical model for a distributed sensor network and formulate the route computation problem in terms of maximizing an objective function, which is directly proportional to the received signal strength and inversely proportional to the path loss and energy consumption. We show this problem to be NP-complete and propose a genetic algorithm to compute an approximate solution by suitably employing a two-level encoding scheme and genetic operators tailored to the objective function. We present simulation results for networks with different node sizes and sensor distributions, which demonstrate the superior performance of our algorithm over two existing heuristics, namely, local closest first and global closest first methods.

  • Fault Reconstruction and State Estimator Design for Distributed Sensor Networks in Multitarget Tracking

    This paper presents two sets of estimator designs for distributed sensor networks in multitarget tracking under signal transmission faults due to the uncertain environments. A two-target tracking sensor network model is then established. Based on the tracking error systems, new augmented systems are proposed. It is proved that, using these systems, one can construct two different sets of estimators. The first estimation approach is to construct a fault estimator for the signal transmission faults occurred in the process of the two-target tracking in distributed sensor networks. The second estimation approach is to design a state/fault estimator. Alternatively, the second approach is proposed to design an estimator for both fault and state simultaneously in sensor networks tracking. Furthermore, the work can be extended to multitarget tracking problems in a more general setting. Finally, two application examples are used to illustrate the effectiveness of the theoretical results.

  • Linearization of an electro-absorption modulator using dual-wavelength modulation technique for radio-over-fiber applications

    The dual-wavelength modulation technique for linearization of an electro- absorption modulator for radio-over-fiber systems is experimentally demonstrated. Using this technique, the spurious free dynamic range was improved by 16.3 dB.

  • Printed dipole antenna with a 1-D EBG ground plane

    A 1-D EBG structure has been presented and designed as a ground plane for a printed dipole antenna. The dipole antenna can be placed very close to the 1-D EBG ground plane, because the EBG ground plane operates like an in-phase reflector. The designed low profile antenna with the 1-D EBG ground plane exhibited a directional radiation pattern as well as good resonant characteristics.

  • Enhancement-mode 130 nm InAs p-HEMTs having f<inf>T</inf> of 403 GHz and f<inf>max</inf> of 470 GHz fabricated using atomic-layer-etching technology

    High-performance 130 nm E-mode InAs p-HEMTs is fabricated using the Ne-based ALET and the buried Pt gate technology. Results from the combination of the improved gate-to-channel aspect ratio achieved by the buried Pt gate technology show that performance of the device is remarkable and the improved carrier transport property is achieved using the ALET technology.

  • Linearity of all-optical frequency upconverter utilizing four-wave mixing for radio-over-fiber applications

    The linearity performance of an all-optical frequency upconverter utilizing four-wave mixing (FWM) is investigated in a semiconductor optical amplifier (SOA). The upconversion method shows a good linearity which meets requirement for microcellular personal communication systems.

  • Performance of capless self-aligned gate D- and QE-mode p-HEMTs

    Characteristics of 0.2 mum depletion mode (D) and quasi-enhancement mode (QE) capless InAlAs/InGaAs p-HEMTs having a self-aligned gate (SAG) are reported. The QE SAG capless p-HEMT showed improved output conductance and subthreshold characteristics due to the increased gate-to-channel aspect ratio implemented by using a buried Pt technology. The maximum g<sub>m</sub>, I<sub>ON</sub>/I<sub>OFF</sub>, sub-threshold slope, f<sub>tau</sub>, and f<sub>max</sub> of the QE SAG capless p-HEMT were 1.22 S/mm, 2.11 times 10<sup>5</sup>, 65 mV/dec, 210 GHz, and 250 GHz and those of the D SAG capless p-HEMT were 1.12 S/mm, 1.27 times 10<sup>4</sup>, 78 mV/dec, 185 GHz, and 225 GHz, respectively. The QE SAG capless p-HEMT also exhibited a shorter drain delay time than the D SAG capless p-HEMT by about 46%.



Standards related to Distributed Sensor Networks

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No standards are currently tagged "Distributed Sensor Networks"