Difference between revisions of "MUFASHION"

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International Conference on Information Technology: Coding and
 
International Conference on Information Technology: Coding and
 
Computing</I>, April, 2001.
 
Computing</I>, April, 2001.
 
== Related Links ==
 
* [[http://www.ee.duke.edu/~vishnus/DARPA/darpa.htm|Link from Duke]]
 

Revision as of 17:09, 30 May 2013

Project Summary

MU-FASHION (Multi-Resolution Data Fusion using Agent-Bearing Sensors in Hierarchically Organized Distributed Sensor Networks) is a research effort aimed at developing an agent-based infrastructure for multi-resolution, hierarchical, and collaborative signal processing in sensor networks. This infrastructure will include the following innovations: (1) an agent-based sensor fusion architecture that is network-centric as opposed to bring platform-centric; (2) a fault-tolerant, multi-resolution signal integration algorithm that provides real-time, progressively accurate results; (3) a graph-theorectic self-organizing algorithm for multi-tiered sensor networks; and (4) a next-generation lightweight real-time operating system. This work is led by Duke University, in partnership with the University of Tennessee at Knoxville, and Louisiana State University.

Sponsors

  • DARPA IPTO SensIT Program

Topics Addressed

  • Mobile-agent-based collaborative signal and information processing
  • Mobile agent framework
  • Progressive multiple target detection
  • Collaborative unknown target detection
  • Decentralized reactive clustering
  • Robust node selection

Software

  • CSIP Classifier - <a href="mufashion/sitex03/classify_bae.tar.gz">Multi-modality, multi-sensor classification (running on top of diffusion routing, mobile agent framework, and BAE repository)
  • Mobile Agent Framework - <a href="maf.htm">Mobile Agent Framework (MAF) developed at UTK

Dataset

  • <a href="mufashion/baedemo.htm">BAE-Austin Demo</a>, Aug 18-21, 2002
  • The seismic training set generated from SITEX00 (<a

href="mufashion/sitex00/readme">readme</a>, <a href="mufashion/sitex00/train1.dat">data</a>)

  • Matlab codes used to generate this dataset (<a href="mufashion/sitex00/getTrain.m">getTrain.m</a>, <a href="mufashion/sitex00/getTrainnode.m">getTrainnode.m</a>) </ul>

    Demo

    • <a href="../../activity/boston/index.html">SensIT PI Meeting (Demo Session), Nov, 2002</a>
    • BAE-Austin Field Demo, Aug. 18-21, 2002 (pictures taken by <a
          href="../../activity/baedemo02/index.html">UTK</a>, by <a href="activity/baedemo02-bae/index.html">BAE</a>)
    
    • <a href="../../activity/icassp02/index.html">Xiaoling and Yuxin at ICASSP</a>, May 2002, Orlando, FL

    Students

    • Xiaoling Wang (Ph.D. graduate)
    • Yingyue Xu (Ph.D. student)
    • Woye Oyeyele (M.S. graduate)
    • Phani Teja Kuruganti (M.S. graduate)
    • Yuxin Tian (M.S. graduate)

    Papers

    Book Chapters and Journal Papers

    • X. Wang, H. Qi, S. Beck, H. Du, "A progressive approach to distributed multiple target detection in sensor networks," Sensor Network Operations. Editors: Shashi Phoha, Thomas F. La Porta. To be published by IEEE Press, 2004.
    • H. Qi, Y. Xu, P. T. Kuruganti, "Chapter 41: The mobile agent framework for collaborative processing in sensor

    networks," Frontiers in Distributed Sensor Networks. Editor: R. Brooks, S. S. Iyengar, pages 783-800, CRC Press, 2004.

    • X. Wang, H. Qi, S. Beck, "Chapter 14: Distributed multi-target detection in sensor networks," Frontiers in Distributed Sensor Networks. Editor: R. Brooks, S. S. Iyengar, pages 265-279, CRC Press, 2004.
    • Y. Xu, H. Qi, "Distributed computing paradigms for multi-sensor data fusion in sensor networks," Journal of Parallel and Distributed Computing, 64(8):945-959, August 2004.
    • H. Qi, Y. Xu, X. Wang, "Mobile- agent-based collaborative signal and information processing in sensor networks," Proceedings of the IEEE,
               91(8):1172-1183, August 2003.
    
    • H. Qi, P. T. Kuruganti, <a
               href="../publication/02sensors.pdf">"The development of
               localized algorithms in wireless sensor networks,"</a>
               Sensors Journal, 2(7): 270-285, July 2002.
    
    • H. Qi, X. Wang, S. S. Iyengar, K. Chakrabarty, <a
               href="../publicati on/02hpc.pdf">"High performance sensor
               integration in distributed sensor networks using mobile
               agents,"</a>
               International Journal of High Performance Computing
               Applications, 16(3):325-335, Fall, 2002.
    
    • K. Chakrabarty, S. S. Iyengar, H. Qi, E. Cho, <a
         href="../publication/02tc.ps">"Grid coverage for surveillance
         and target location in distributed sensor networks,"</a> IEEE
         Transactions on Computers, 51(12):1448-1453, December 2002.
    
    • H. Qi, S. S. Iyengar, K. Chakrabarty, <a
         href="../publication/01smc.pdf">"Multi-resolution data
         integration using mobile agents in distributed sensor
         networks,"</a> IEEE Transactions on Systems, Man, and
         Cybernetics Part C: Applications and Reviews, vol. 31, no.
         3, pp383-391, August, 2001.
    

    Conference Papers

    • X. Wang, H. Qi, "Collaborative unknown target

    recognition in sensor networks," 19th National Conference on Artificial Intelligence (AAAI), Workshop on Sensor Networks, San Jose, CA, July 26, 2004.

    • Y. Xu, H. Qi, "Decentralized reactive

    clustering for collaborative processing in sensor networks," IEEE International Conference on Parallel and Distributed Systems (ICPADS), pages 54-61, Newport Beach, CA, July 7-9, 2004.

    • X. Wang, H. Qi, "Mobile agent based

    progressive multiple target detection in sensor networks," IEEE International Conference on Acoustic, Speech, and Signal Processing (ICASSP), Montreal, Quebec, Canada, May 17-21, 2004.

    • F. Wang, H. Qi, "Collective intelligent

    information processing in large scale sensor networks," Sensors, Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security and Homeland Defense at SPIE Defense and Security Symposium, Orlando (Kissimmee), FL, April 12-16, 2004.

    • Y. Xu, H. Qi, T. Kuruganti, "Mobile-agent-based
               computing model for collaborative processing in sensor
               networks," GlobeCom, 2003.
    
    • X. Wang, H. Qi, H. Du, "Distributed source number
               estimation of independent component analysis in sensor
               networks," IEEE International Symposium on
               Statistical Signal Processing, September 2003.
    
    • Y. Xu, H. Qi, "Performance evaluation of distributed
               computing paradigms in mobile ad hoc sensor networks,"
               The 9th International Conference on Parallel and
               Distributed Systems (ICPADS), pages 451-456, Taiwan,
               December 2002.
    
    • X. Wang, H. Qi, S. S. Iyengar, <a
               href="publication/02if.pdf">"Collaborative Multi-Modality
               Target Classification in Distributed Sensor Networks,"</a>
               Information Fusion, pages 285-290, Annapolis, MA,
               July, 2002.
    
    • X. Wang, H. Qi, <a
         href="publication/02icasspa.pdf">"Acoustic target classification
         using distributed sensor arrays,"</a> International
         Conference on Acoustics Speech and Signal Processing
         (ICASSP), vol. 4, page 4186, Orlando, FL, May, 2002.
    
    • Y. Tian, H. Qi, <a
         href="publication/02icasspb.pdf">"Target detection and
         classification using seismic signal processing in unattended
         ground sensor systems,"</a> International Conference on
         Acoustics Speech and Signal Processing (ICASSP), vol. 4,
         page 4172, Orlando, FL, May, 2002.
    
    • H. Qi, S. S. Iyengar, K. Chakrabarty, <A

    HREF="../publication/fusionconf.pdf">"Distributed multi-resolution data integration using mobile agents,"</A> IEEE Aerospace Conference, March, 2001.

    • K. Chakrabarty, S. S. Iyengar, H. Qi, E. Cho, <A

    HREF="../publication/ITCC-01.pdf">"Coding theory framework for target location in distributed sensor networks,"</A> IEEE International Conference on Information Technology: Coding and

    Computing, April, 2001.