By Topic

Distributed source coding in wireless sensor networks using LDPC codes: a non-uniform framework

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

2 Author(s)
Sartipi, M. ; Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA ; Fekri, F.

Summary form only given. First, we consider a system of two statistically dependent signals, X1 and X2. The correlation between signals X1 and X2 is modeled as the input and output of a binary symmetric channel with crossover probability. We propose a non-uniform LDPC code that considers the fact that different bits are subject to different sources of noise. Simulation results show that our proposed method improves the source coding performance considerably. We further study an extension of our approach to three correlated nodes. For simplicity, we consider the case that assumes that the sources are pairwise correlated with the same correlation probability. We show that this assumption cannot be generalized to more than three sources. In this case, a fourth source is not be a random variable and it can be identified by the first three sources.

Published in:

Data Compression Conference, 2005. Proceedings. DCC 2005

Date of Conference:

29-31 March 2005