Conferences related to Distributed Sensor Networks

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2018 14th IEEE International Conference on Signal Processing (ICSP)

ICSP2018 includes sessions on all aspects of theory, design and applications of signal processing. Prospective authors are invited to propose papers in any of the following areas, but not limited to: A. Digital Signal Processing (DSP)B. Spectrum Estimation & ModelingC. TF Spectrum Analysis & WaveletD. Higher Order Spectral AnalysisE. Adaptive Filtering &SPF. Array Signal ProcessingG. Hardware Implementation for Signal ProcessingH Speech and Audio CodingI. Speech Synthesis & RecognitionJ. Image Processing & UnderstandingK. PDE for Image ProcessingL.Video compression &StreamingM. Computer Vision & VRN. Multimedia & Human-computer InteractionO. Statistic Learning & Pattern RecognitionP. AI & Neural NetworksQ. Communication Signal processingR. SP for Internet and Wireless CommunicationsS. Biometrics & AuthentificationT. SP for Bio-medical & Cognitive ScienceU


2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

The 15th annual IEEE SECON conference will provide a unique forum to exchange innovative research ideas, recent results, and share experiences among researchers and practitioners in wireless networks, mobile systems and the Internet of Things. The focus of IEEE SECON is novel communication technologies and emerging applications and services, involving mobile sensing and communication, and ubiquitous and pervasive computing.


2018 15th IEEE Annual Consumer Communications & Networking Conference (CCNC)

IEEE CCNC 2018 will present the latest developments and technical solutions in the areas of home networking, consumer networking, enabling technologies (such as middleware) and novel applications and services. The conference will include a peer-reviewed program of technical sessions, special sessions, business application sessions, tutorials, and demonstration sessions


2018 16th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

WiOpt 2018 welcomes original papers related to modeling, performance evaluation, and optimization of wireless networks. The scope covers all types of wireless networks: cellular, ad hoc, content-driven, delay-tolerant, mesh, metropolitan, sensor, cognitive, vehicular, robotic, Internet of Things, virtualized, etc. The focus is on issues at and above the MAC layer, although cross-layer techniques encompassing the physical layer are equally welcome. We encourage both theoretical contributions and submissions relating to real world empirical measurements, experimental studies.


2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC)

ASP-DAC 2018 is the 23rd annual international conference on VLSI design automation in Asia and South Pacific regions, one of the most active regions of design and fabrication of silicon chips in the world. The conference aims at providing the Asian and South Pacific CAD/DA and Design community with opportunities of presenting recent advances and with forums for future directions in technologies related to Electronic Design Automation (EDA). The format of the meeting intends to cultivate and promote an instructive and productive interchange of ideas among EDA researchers/developers and system/circuit/device designers. All scientists, engineers, and students who are interested in theoretical and practical aspects of VLSI design and design automation are welcomed to ASP-DAC.


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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 ...


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Most published Xplore authors for Distributed Sensor Networks

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Xplore Articles related to Distributed Sensor Networks

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Joint Sparsity Pattern Recovery with 1-bit Compressive Sensing in Distributed Sensor Networks

[{u'author_order': 1, u'affiliation': u'Electrical Engineering And Computer Science, Syracuse University, 2029 Syracuse, New York United States 13244-1100 (e-mail: skafle@syr.edu)', u'full_name': u'Swatantra Kafle'}, {u'author_order': 2, u'full_name': u'Vipul Gupta'}, {u'author_order': 3, u'affiliation': u'EECS, Syracuse University, syracuse, New York United States 13210 (e-mail: bkailkhu@syr.edu)', u'full_name': u'Bhavya Kailkhura'}, {u'author_order': 4, u'affiliation': u'Electrical Engineering and Computer Science, Syracuse University, Syracuse, New York United States 13244 (e-mail: twwewelw@syr.edu)', u'full_name': u'Thakshila Wimalajeewa'}, {u'author_order': 5, u'affiliation': u'2-212 CST, EECS Department, Syracuse, New York United States 13244 (e-mail: varshney@syr.edu)', u'full_name': u'Pramod K. Varshney'}] IEEE Transactions on Signal and Information Processing over Networks, None

In this paper, we study the problem of joint sparse support recovery with 1-bit quantized compressive measurements in a distributed sensor network. Multiple nodes in the network are assumed to observe sparse signals having the same but unknown sparse support. Each node quantizes its measurement vector element-wise to 1-bit. First, we consider that all the quantized measurements are available at ...


Cluster based context aware secure routing in distributed sensor networks

[{u'author_order': 1, u'affiliation': u'Department ofinformation Science and Engineering, Basaveshwar Engineering College, Bagalkot, Karnataka, India', u'full_name': u'Lokesh B. Bhajantri'}, {u'author_order': 2, u'affiliation': u'Department of Computer Science and Engineering, Basaveshwar Engineering College, Bagalkot, Karnataka, India', u'full_name': u'Shiddalingesh S. Hiremath'}] 2017 International Conference On Smart Technologies For Smart Nation (SmartTechCon), None

Distributed Sensor Network (DSN) built with smart sensor nodes by high computing network. A DSN has been attractive platform for researchers from many years and it's to provide effective computing and making secure communication or routing between source and sink node. However, sensor networks are vulnerable in an environment with respect to attacks. This paper proposes a cluster based context ...


Target tracking over distributed sensor networks by polar measurements with time-varying bias

[{u'author_order': 1, u'affiliation': u'Seventh Research Division and the Center for Information and Control, School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing 100191, China', u'full_name': u'Cui Zhang'}, {u'author_order': 2, u'affiliation': u'Seventh Research Division and the Center for Information and Control, School of Automation Science and Electrical Engineering, Beihang University (BUAA), Beijing 100191, China', u'full_name': u'Yingmin Jia'}] 2017 13th IEEE Conference on Automation Science and Engineering (CASE), None

This note concerns about the problem of target tracking over distributed sensors which measure range and azimuth with time-varying bias. First, the pseudo-measurements are generated to transform the biased nonlinear measurements into Cartesian coordinates. Then a modified two-stage filter is proposed to decouple the estimation of target state and sensor bias. Moreover, a distributed fusion algorithm for sensor network is ...


Energy efficient clustering based data gathering using hybrid DB-EMGM in distributed sensor networks

[{u'author_order': 1, u'affiliation': u'Computer Science and Engineering Department, Delhi Technological University, Delhi, India', u'full_name': u'R. K Yadav'}, {u'author_order': 2, u'affiliation': u'Computer Science and Engineering Department, Delhi Technological University, Delhi, India', u'full_name': u'Joginder Singh'}] 2017 International Conference on Computing, Communication and Automation (ICCCA), None

Clustering is one of the most useful methods for data gathering in distributed wireless sensor networks (WSNs). In additions, sensors in such environment are energy constrained and generate the huge amount of data due to redundant data transmission and thus reducing lifetime of networks. Moreover, there is need to use efficient clustering techniques for collecting relevant data from nodes to ...


A general framework for data fusion and outlier removal in distributed sensor networks

[{u'author_order': 1, u'affiliation': u'Intelligent Systems Research Institute, Sungkyunkwan University, Suwon, Republic of Korea', u'full_name': u'Muhammad Abu Bakr'}, {u'author_order': 2, u'affiliation': u'Intelligent Systems Research Institute, Sungkyunkwan University, Suwon, Republic of Korea', u'full_name': u'Sukhan Lee'}] 2017 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI), None

A fundamental issue in sensor fusion is to detect and remove outliers as sensors often produce inconsistent measurements that are difficult to predict and model. The detection and removal of spurious data is paramount to the quality of sensor fusion by avoiding their inclusion in the fusion pool. In this paper, a general framework of data fusion is presented for ...


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Educational Resources on Distributed Sensor Networks

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eLearning

No eLearning Articles are currently tagged "Distributed Sensor Networks"

IEEE-USA E-Books

  • Secure Communication in Distributed Sensor Networks (DSN)

    The motivation of this chapter is to study the issues related to secure communication among sensor nodes. Sensor nodes are usually of limited computational ability having low CPU power, a small amount of memory, and constrained power availability. Thus the standard cryptographic algorithms suitable for state of the art computers may not be efficiently implemented in sensor nodes. In this regard we study the strategies that can work in constrained environments. First we present a basic introduction to the security issues in distributed wireless sensor networks. As implementation of public key infrastructure may not be recommendable in low end hardware platforms, we describe key predistribution issues in detail. Further we study some specific stream ciphers for encrypted communication that are suitable for implementation in low end hardware.

  • Introduction

    This chapter contains sections titled: Sensor Networks and Traditional Distributed Systems Programming of Distributed Sensor Networks Macroprogramming: What and Why? Contributions and Outline

  • EVENT¿¿¿BASED MODELING FOR BATTERY MANUFACTURING SYSTEMS USING SENSOR DATA

    An integrated modeling and analysis approach is much needed that can relate the sensor data with the dynamic battery manufacturing and evaluate the system performance for continuous improvement. This chapter presents such a method for sensor¿¿¿enabled battery manufacturing system modeling and analysis. Distributed sensing, a system¿¿¿wide deployment of sensing devices, has resulted in a data¿¿¿rich environment with opportunities and challenges in manufacturing systems. On the basis of the system description and assumptions, an event¿¿¿based modeling (EBM) approach for virtual multilayer sensor structure is introduced to reflect the market demand¿¿¿driven battery manufacturing systems. The EBM method does not solely focus on physical model nor it is based on long¿¿¿term steady state, but it closely communicates with distributed sensor networks for smart monitoring and diagnosis. The cost in manufacturing system is categorized into two categories: resources that are supplied as used (and needed) and resources that are supplied in advance of usage.

  • Distributed Sensing and Data Gathering



Standards related to Distributed Sensor Networks

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Jobs related to Distributed Sensor Networks

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