Graduate School and Research Center in Digital Sciences

Distributed sensing and transmission of sporadic random samples

Unsal, Ayse; Knopp, Raymond

ISIT 2013, IEEE International Symposium on Information Theory, July 7-12, 2013, Istanbul, Turkey

This work considers distributed sensing and transmission of sporadic random samples. Lower bounds are derived for the reconstruction error of a single normally or uniformlydistributed vector imperfectly measured by a network of sensors and transmitted with finite energy to a common receiver via an additive white Gaussian noise asynchronous multiple-access channel. Transmission makes use of a perfect causal feedback link to the encoder connected to each sensor. A retransmission protocol inspired by the classical scheme in [1] applied to the transmission of single and bi-variate analog samples analyzed in [2] and [3] is extended to the more general network scenario, for which asymptotic upper-bounds on the reconstruction error are provided. Both the upper and lower-bounds show that collaboration can be achieved through energy accumulation under certain circumstances.

Document Doi Bibtex

Title:Distributed sensing and transmission of sporadic random samples
Type:Conference
Language:English
City:Istanbul
Country:TURKEY
Date:
Department:Communication systems
Eurecom ref:4068
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Bibtex: @inproceedings{EURECOM+4068, doi = {http://dx.doi.org/10.1109/ISIT.2013.6620612}, year = {2013}, title = {{D}istributed sensing and transmission of sporadic random samples }, author = {{U}nsal, {A}yse and {K}nopp, {R}aymond}, booktitle = {{ISIT} 2013, {IEEE} {I}nternational {S}ymposium on {I}nformation {T}heory, {J}uly 7-12, 2013, {I}stanbul, {T}urkey }, address = {{I}stanbul, {TURKEY}}, month = {07}, url = {http://www.eurecom.fr/publication/4068} }
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