By Topic

Distributed source coding in large wireless sensor networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Barcelo-Llado, J.E. ; Dept. Telecommun. & Syst. Eng., Univ. Autonoma de Barcelona, Barcelona, Spain ; Morell, A. ; Seco-Granados, G.

We study the performance of distributed source coding in large wireless sensor networks obtained with enhanced correlation estimators. Distributed source coding is especially useful when data correlation exists since it tries to remove the redundancy in the information; and dense sensor networks are rich in correlations. Existing results from information theory show that this compression can be executed in a distributed fashion and without any performance loss in comparison with the centralized approach. However, there is still performance gap between the theoretical bounds and the results achieved with practical implementations. In order to mitigate this, we propose the use of enhanced correlation estimators. Simulation results show a performance improvement in the energy consumption by reducing the number of transmitted bits compared to classical methods.

Published in:

Signals, Systems and Computers (ASILOMAR), 2010 Conference Record of the Forty Fourth Asilomar Conference on

Date of Conference:

7-10 Nov. 2010