| Research Results |
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nodeloccomplete.xls: complete sensor node
locations of Sitex02 experiments
Timeseries files: This ZIP file contains the original binary timeseries for all runs from the SITEX02 experiment, November 2001, Twentynine Palms, CA. File size: 900 MB, Uncompressed size: 1.68 GB. If you are not able to download such a large file, this file contains the timeseries for the AAV3 run only.
The file sitex02.exe, included in the energies.zip archive, will convert the binary data files into ASCII files containing the acoustic, seismic and PIR dataseries. We also include example Matlab scripts to show how the data is processed by our algorithms.
Energy files: This ZIP file contains the energy series for all runs from the SITEX02 experiment, November 2001, Twentynine Palms, CA. File size: 3 MB, Uncompressed size: 8 MB.
Event Files: This ZIP file contains the event timeseries and feature files for all runs from the SITEX02 experiment, November 2001, Twentynine Palms, CA. File size: 435 MB, Uncompressed size: 2.89 GB. If you are not able to download such a large file, this file contains the Matlab scripts to generate the events.
If the files are not available, please let us know.
We request that if you use these files in your work, please refer to our paper that presents the dataset, whose BibTex record is given below:
@article{duarte:hu:pdc,
author = "Duarte, M. F. and Hu, Y. H.",
title = "Vehicle Classification in Distributed Sensor Networks",
journal = "Journal of Parallel and Distributed Computing",
volume = "64",
number = "7",
month = jul,
year = 2004,
pages = "826--838"}
Citation in IEEE format: M. F. Duarte and Y. H. Hu, Vehicle classification in distributed sensor networks, Journal of Parallel and Distributed Computing, Vol. 64 No. 7, July 2004, p. 826-838.
Single AAV3 Tracking: This is an AVI file showing Single Target Tracking results on real Acoustic Data from 29 Palms SensIT Demo in Nov, 2001. Its using Maximum Likelihood Estimation for Localization and Kalman Filter for Tracking.
Multi-Target Tracking of Synthetic Data: This AVI file shows Multiple Target Tracking on a AAV and DW on Synthetic Data generated based on 29 Palms Sensor Network Configuration. Its using ML Estimation for Acoustic Localization and Table Based Approach for PIR Localization. This is based on a Single Region.
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