Asymptotic Results for Detection in Power Constrained Wireless Sensor Networks Conference Paper

abstract

• This work studies a binary decentralized detection problem in which a set of parallel sensors provides partial information about the state of nature to a fusion center. Sensors have access to conditionally independent and identically distributed observations, given the state of nature, and transmit their data over a noisy channel. Upon reception of the information, the fusion center attempts to accurately reconstruct the state of nature. We extend existing asymptotic results about large sensor networks to the case where the sensors are subject to a joint power constraint and the communication channel from each sensor to the fusion center is corrupted by additive noise. Large deviation theory is used to show that having identical sensors, i.e., each sensor using the same transmission scheme, is asymptotically optimal.

name of conference

• IEEE International Symposium on Information Theory, 2003. Proceedings.

authors

• Chamberland-Tremblay, Jean-Francois

published proceedings

• IEEE International Symposium on Information Theory, 2003. Proceedings.

author list (cited authors)

• Chamberland, J., & Veeravalli, V. V.

citation count

• 5

complete list of authors

• Chamberland, Jean-François||Veeravalli, Venugopal V

publication date

• January 2003

publisher

• Institute of Electrical and Electronics Engineers (IEEE)  Publisher

Digital Object Identifier (DOI)

• 10.1109/isit.2003.1228244

start page

• 230

end page

• 230

URL

• http://dx.doi.org/10.1109/isit.2003.1228244