By Topic

Energy efficient low power architecture for Distributed Source Coding in 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
$33 $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)
C. Tharini ; Anna University, Chennai, India ; P. Vanaja Ranjan

Wireless Sensor Networks are gaining importance in diverse applications. The sensor nodes are battery operated and hence energy aware architecture is considered for increasing the lifetime of the sensor network. In this paper clustering algorithm based on spatial correlation is implemented to improve the performance of Distributed Source Coding (DSC) Algorithm. Results show that the proposed clustering algorithm reduces the bit error rate and hence requires lesser number of retransmission. FPGA implementation of the DSC algorithm using low power techniques is implemented.

Published in:

Computational Intelligence and Computing Research (ICCIC), 2010 IEEE International Conference on

Date of Conference:

28-29 Dec. 2010