Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes

Varun Subramanian; Anurag Umbarkar; Alex Doboli

doi:10.1109/AHS.2011.5963961

Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes

Varun Subramanian
, Anurag Umbarkar
, Alex Doboli

Electrical Engineering

Stony Brook University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Scopus citations

Abstract

This paper presents an approach for optimizing the accuracy of data models produced based on data sampled through a network of embedded sensors. The method considers three orthogonal facets defining model precision: minimizing the sampling error of the individual embedded nodes, sampling sufficient data from distributed areas to correctly represent the phenomenon of interest, and meeting the timing delays that guarantee the timeliness of data. The three objectives are achieved by dynamically reconfiguring the architecture of the embedded nodes, and dynamically selecting the data transfer paths to the decision making nodes. Sound based trajectory tracking is used as a case study for the proposed approach.

Original language	English
Title of host publication	Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011
Pages	29-35
Number of pages	7
DOIs	https://doi.org/10.1109/AHS.2011.5963961
State	Published - 2011
Event	2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011 - San Diego, CA, United States Duration: Jun 6 2011 → Jun 9 2011

Publication series

Name	Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011

Conference

Conference	2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011
Country/Territory	United States
City	San Diego, CA
Period	06/6/11 → 06/9/11

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10.1109/AHS.2011.5963961

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Subramanian, V., Umbarkar, A., & Doboli, A. (2011). Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes. In Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011 (pp. 29-35). Article 5963961 (Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011). https://doi.org/10.1109/AHS.2011.5963961

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title = "Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes",

abstract = "This paper presents an approach for optimizing the accuracy of data models produced based on data sampled through a network of embedded sensors. The method considers three orthogonal facets defining model precision: minimizing the sampling error of the individual embedded nodes, sampling sufficient data from distributed areas to correctly represent the phenomenon of interest, and meeting the timing delays that guarantee the timeliness of data. The three objectives are achieved by dynamically reconfiguring the architecture of the embedded nodes, and dynamically selecting the data transfer paths to the decision making nodes. Sound based trajectory tracking is used as a case study for the proposed approach.",

author = "Varun Subramanian and Anurag Umbarkar and Alex Doboli",

year = "2011",

doi = "10.1109/AHS.2011.5963961",

language = "English",

isbn = "9781457705984",

series = "Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011",

pages = "29--35",

booktitle = "Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011",

note = "2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011 ; Conference date: 06-06-2011 Through 09-06-2011",

}

Subramanian, V, Umbarkar, A & Doboli, A 2011, Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes. in Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011., 5963961, Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011, pp. 29-35, 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011, San Diego, CA, United States, 06/6/11. https://doi.org/10.1109/AHS.2011.5963961

Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes. / Subramanian, Varun; Umbarkar, Anurag; Doboli, Alex.
Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011. 2011. p. 29-35 5963961 (Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - This paper presents an approach for optimizing the accuracy of data models produced based on data sampled through a network of embedded sensors. The method considers three orthogonal facets defining model precision: minimizing the sampling error of the individual embedded nodes, sampling sufficient data from distributed areas to correctly represent the phenomenon of interest, and meeting the timing delays that guarantee the timeliness of data. The three objectives are achieved by dynamically reconfiguring the architecture of the embedded nodes, and dynamically selecting the data transfer paths to the decision making nodes. Sound based trajectory tracking is used as a case study for the proposed approach.

AB - This paper presents an approach for optimizing the accuracy of data models produced based on data sampled through a network of embedded sensors. The method considers three orthogonal facets defining model precision: minimizing the sampling error of the individual embedded nodes, sampling sufficient data from distributed areas to correctly represent the phenomenon of interest, and meeting the timing delays that guarantee the timeliness of data. The three objectives are achieved by dynamically reconfiguring the architecture of the embedded nodes, and dynamically selecting the data transfer paths to the decision making nodes. Sound based trajectory tracking is used as a case study for the proposed approach.

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BT - Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011

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Subramanian V, Umbarkar A, Doboli A. Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes. In Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011. 2011. p. 29-35. 5963961. (Proceedings of the 2011 NASA/ESA Conference on Adaptive Hardware and Systems, AHS 2011). doi: 10.1109/AHS.2011.5963961

Maximizing the accuracy of sound based tracking via a low-cost network of reconfigurable embedded nodes

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