Fault-tolerance analysis of a wireless sensor network with distributed classification codes

Po Ning Chen; Tsang Yi Wang; Yunghsiang S. Han; Pramod K. Varshney; Chien Yao; Shin Lin Shieh

doi:10.1109/ISIT.2006.261836

Fault-tolerance analysis of a wireless sensor network with distributed classification codes

Po Ning Chen, Tsang Yi Wang, Yunghsiang S. Han, Pramod K. Varshney, Chien Yao, Shin Lin Shieh

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Entry/Poem › Conference contribution

Abstract

In this work, we analyze the performance of a wireless sensor network with distributed classification codes, where independence across sensors, including local observations, local classifications and sensor-fusion link noises, is assumed. In terms of large deviations technique, we establish the necessary and sufficient condition under which the minimum Hamming distance fusion error vanishes as the number of sensors tends to infinity. With the necessary and sufficient condition and the upper performance bounds, the relation between the fault-tolerance capability of a distributed classification code and its pair-wise Hamming distances is characterized.

Original language	English (US)
Title of host publication	Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006
Pages	217-221
Number of pages	5
DOIs	https://doi.org/10.1109/ISIT.2006.261836
State	Published - 2006
Event	2006 IEEE International Symposium on Information Theory, ISIT 2006 - Seattle, WA, United States Duration: Jul 9 2006 → Jul 14 2006

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
ISSN (Print)	2157-8101

Other

Other	2006 IEEE International Symposium on Information Theory, ISIT 2006
Country/Territory	United States
City	Seattle, WA
Period	7/9/06 → 7/14/06

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modeling and Simulation
Applied Mathematics

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10.1109/ISIT.2006.261836

Cite this

Chen, P. N., Wang, T. Y., Han, Y. S., Varshney, P. K., Yao, C., & Shieh, S. L. (2006). Fault-tolerance analysis of a wireless sensor network with distributed classification codes. In Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006 (pp. 217-221). Article 4035953 (IEEE International Symposium on Information Theory - Proceedings). https://doi.org/10.1109/ISIT.2006.261836

Fault-tolerance analysis of a wireless sensor network with distributed classification codes. / Chen, Po Ning; Wang, Tsang Yi; Han, Yunghsiang S. et al.
Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006. 2006. p. 217-221 4035953 (IEEE International Symposium on Information Theory - Proceedings).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Chen, PN, Wang, TY, Han, YS, Varshney, PK, Yao, C & Shieh, SL 2006, Fault-tolerance analysis of a wireless sensor network with distributed classification codes. in Proceedings - 2006 IEEE International Symposium on Information Theory, ISIT 2006., 4035953, IEEE International Symposium on Information Theory - Proceedings, pp. 217-221, 2006 IEEE International Symposium on Information Theory, ISIT 2006, Seattle, WA, United States, 7/9/06. https://doi.org/10.1109/ISIT.2006.261836

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author = "Chen, {Po Ning} and Wang, {Tsang Yi} and Han, {Yunghsiang S.} and Varshney, {Pramod K.} and Chien Yao and Shieh, {Shin Lin}",

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AB - In this work, we analyze the performance of a wireless sensor network with distributed classification codes, where independence across sensors, including local observations, local classifications and sensor-fusion link noises, is assumed. In terms of large deviations technique, we establish the necessary and sufficient condition under which the minimum Hamming distance fusion error vanishes as the number of sensors tends to infinity. With the necessary and sufficient condition and the upper performance bounds, the relation between the fault-tolerance capability of a distributed classification code and its pair-wise Hamming distances is characterized.

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Fault-tolerance analysis of a wireless sensor network with distributed classification codes

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