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Sensor network-based countersniper system
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Proceedings of the 2nd international conference on Embedded networked sensor systems table of contents
Baltimore, MD, USA
SESSION: Systems 1 table of contents
Pages: 1 - 12  
Year of Publication: 2004
ISBN:1-58113-879-2
Authors
Gyula Simon  Vanderbilt University
Miklós Maróti  Vanderbilt University
Ákos Lédeczi  Vanderbilt University
György Balogh  Vanderbilt University
Branislav Kusy  Vanderbilt University
András Nádas  Vanderbilt University
Gábor Pap  Vanderbilt University
János Sallai  Vanderbilt University
Ken Frampton  Vanderbilt University
Sponsors
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems
ACM: Association for Computing Machinery
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGCOMM: ACM Special Interest Group on Data Communication
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 37,   Downloads (12 Months): 254,   Citation Count: 56
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ABSTRACT

An ad-hoc wireless sensor network-based system is presented that detects and accurately locates shooters even in urban environments. The system consists of a large number of cheap sensors communicating through an ad-hoc wireless network, thus it is capable of tolerating multiple sensor failures, provides good coverage and high accuracy, and is capable of overcoming multipath effects. The performance of the proposed system is superior to that of centralized countersniper systems in such challenging environment as dense urban terrain. In this paper, in addition to the overall system architecture, the acoustic signal detection, the most important middleware services and the unique sensor fusion algorithm are also presented. The system performance is analyzed using real measurement data obtained at a US Army MOUT (Military Operations in Urban Terrain) facility.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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CITED BY  56

Collaborative Colleagues:
Gyula Simon: colleagues
Miklós Maróti: colleagues
Ákos Lédeczi: colleagues
György Balogh: colleagues
Branislav Kusy: colleagues
András Nádas: colleagues
Gábor Pap: colleagues
János Sallai: colleagues
Ken Frampton: colleagues