Article

Towards radar-enabled sensor networks

Authors:

Prabal K. Dutta,

Anish K. Arora,

Steven B. BibykAuthors Info & Claims

IPSN '06: Proceedings of the 5th international conference on Information processing in sensor networks

Pages 467 - 474

https://doi.org/10.1145/1127777.1127848

Published: 19 April 2006 Publication History

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Abstract

Ultrawideband radar-enabled wireless sensor networks have the potential to address key detection and classification requirements common to many surveillance and tracking applications. However, traditional radar signal processing techniques are mismatched with the limited computational and storage resources available on typical sensor nodes. The mismatch is exacerbated in noisy, cluttered environments or when the signals have corrupted spectra. To explore the compatibility of ultrawideband radar and mote-class sensor nodes, we designed and built a new platform called the Radar Mote. An early prototype of this platform was used to detect, classify, and track people and vehicles moving through an outdoor sensor network deployment. This paper describes the sensor's theory of operation, discusses the design and implementation of the Radar Mote, and presents sample signal waveforms of people, vehicles, noise, and clutter. We demonstrate that radar sensors can be successfully integrated with mote-class devices and imbue them with an extraordinarily useful sensing modality.

References

[1]

Advantaca, Inc. TWR-ISM-002-I Radar: Hardware User's Manual, 2002.

Google Scholar

[2]

A. Arora, P. Dutta, S. Bapat, V. Kulathumani, H. Zhang, V. Naik, V. Mittal, H. Cao, M. Demirbas, M. Gouda, Y. Choi, T. Herman, S. Kulkarni, U. Arumugam, M. Nesterenko, A. Vora, and M. Miyashita. A line in the sand: A wireless sensor network for target detection, classification, and tracking. Computer Networks, 46(5):605--634, December 2004.

Digital Library

Google Scholar

[3]

A. Arora, R. Ramnath, E. Ertin, P. Sinha, S. Bapat, V. Naik, V. Kulathumani, H. Zhang, H. Cao, M. Sridharan, S. Kumar, N. Seddon, C. Anderson, N. Trivedi, C. Zhang, M. Nesterenko, R. Shah, S. Kulkarni, M. Aramugam, L. Wang, M. Gouda, Y. Choi, D. Culler, P. Dutta, C. Sharp, G. Tolle, M. Grimmer, B. Ferriera, and K. Parker. Exscal: Elements of an extreme scale wireless sensor network. IEEE RTCSA, 2005.

Digital Library

Google Scholar

[4]

P. Dutta, M. Grimmer, A. Arora, S. Bibyk, and D. Culler. Design of a wireless sensor network platform for detecting rare, random and ephemeral events. IEEE IPSN, 2005.

Digital Library

Google Scholar

[5]

B. F. (Ed.). Micropower impulse radar. Science & Technology Review, pages 16--29, Jan. 1996.

Google Scholar

[6]

D. Gay, P. Levis, R. von Behren, M. Welsh, E. Brewer, and D. Culler. The nesc language: A holistic approach to networked embedded systems. In Proceedings of Programming Language Design and Implementation (PLDI) 2003, 2003.

Digital Library

Google Scholar

[7]

L. Gu, D. Jia, P. Vicaire, and et al. Lightweight detection and classification for wireless sensor networks in realistic environments. In Proceedings of the Third ACM Conference on Embedded Networked Sensor Systems (SenSys), nov 2005.

Digital Library

Google Scholar

[8]

T. He, S. Krishnamurthy, L. Luo, T. Yan, L. Gu, R. Stoleru, G. Zhou, Q. Cao, P. Vicaire, J. A. Stankovic, T. F. Abdelzaher, J. Hui, and B. Krogh. Vigilnet: An integrated sensor network system for energy-efficient surveillance. ACM Transactions on Sensor Networks, 2005.

Digital Library

Google Scholar

[9]

J. Hill. A software architecture supporting networked sensors. Master's thesis, U.C. Berkeley Dept. of Electrical Engineering and Computer Sciences, 2000.

Google Scholar

[10]

J. Hill and D. Culler. Mica: A wireless platform for deeply embedded networks. IEEE Micro, 22(6):12--24, 2002.

Digital Library

Google Scholar

[11]

D. Li, K. Wong, Y. H. Hu, and A. Sayeed. Detection, classification and tracking of targets in distributed sensor networks. IEEE Signal Processing Magazine, 19(2), mar 2002.

Google Scholar

[12]

C. Sharp, S. Schaffert, A. Woo, N. Sastry, C. Karlof, S. Sastry, and D. Culler. Design and implementation of a sensor network system for vehicle tracking and autonomous interception. IEEE EWSN, 2005.

Crossref

Google Scholar

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Towards radar-enabled sensor networks

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Information

Published In

IPSN '06: Proceedings of the 5th international conference on Information processing in sensor networks

April 2006

514 pages

ISBN:1595933344

DOI:10.1145/1127777

General Chair:
John Stankovic
University of Virginia
,
Program Chairs:
Phillip Gibbons
Intel Research
,
Stephen Wicker
Cornell University
,
Joe Paradiso
MIT

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 April 2006

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IPSN06

Sponsor:

SIGBED

IPSN06: The Fifth International Conference on Information Processing in Sensor Networks 2006

April 19 - 21, 2006

Tennessee, Nashville, USA

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Overall Acceptance Rate 143 of 593 submissions, 24%

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Zhou XDelicato FWang KHuang R(2020)Smart computing and cyber technology for cyberizationWorld Wide Web10.1007/s11280-019-00773-yOnline publication date: 3-Jan-2020
https://doi.org/10.1007/s11280-019-00773-y
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Xu XZhao CJiang ZCheng ZChen J(2019)Optimal placement of barrier coverage in heterogeneous bistatic radar sensor networksWorld Wide Web10.1007/s11280-019-00699-5Online publication date: 14-Jun-2019
https://doi.org/10.1007/s11280-019-00699-5
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