Scheduled System Maintenance on May 29th, 2015:
IEEE Xplore will be upgraded between 11:00 AM and 10:00 PM EDT. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Multiple-Input Turbo Code for Joint Data Aggregation, Source and Channel 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
$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

1 Author(s)
Cam, H. ; Computer Science and Engineering Department, Arizona State University, Tempe, AZ 85287. hasan.cam@asu.edu

In wireless sensor networks, the data collected by neighboring sensor nodes show high correlation. To exploit the data correlation for reducing the amount of data while transmitting data from sensor nodes to their base station, this paper introduces multiple-input turbo (MIT) code to implement a joint source coding and data aggregation. If there exists an explicit communication between two sensor nodes, their correlated data bits are first interleaved with each other in accordance with their correlation relation, and then are encoded and punctured. On the other hand, if there is no direct communication between sensor nodes, the data sequences are encoded with respect to side information based on the distributed source coding principles. Whenever the bit error rate needs to be improved, MIT code is used for channel coding as well. MIT code employs partial interleaving to reduce energy consumption and memory size requirements for even small-size information blocks. The simulation results show that the bit error rate performance of MIT code outperforms turbo codes to some extent, even if MIT code implements partial interleaving on interleavers.

Published in:

Communications, 2006. ICC '06. IEEE International Conference on  (Volume:8 )

Date of Conference:

June 2006