By Topic

Secure data aggregation and source-channel coding with MIT code for 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. ; Dept. of Comput. Sci. & Eng., Arizona State Univ., Tempe, AZ, USA

This paper proposes a secure data aggregation and source-channel coding algorithm, called SAC, for implementing secure data aggregation and compression along with error correction in wireless sensor networks by employing multiple-input turbo (MIT) code that we have recently introduced for source and channel coding. If there is no direct communication between two sensor nodes, SAC implements Slepian-Wolf coding principles in performing source encoding using MIT code. However, if there exists an explicit communication between two sensor nodes, the node that has more residual energy performs data aggregation and source encoding. When the bit error rate is not acceptable, MIT code is used for channel coding as well. Security is achieved by encrypting the data with shared keys. To reduce energy consumption, latency, and memory size requirements, MIT code employs partial interleavers.

Published in:

Performance, Computing, and Communications Conference, 2005. IPCCC 2005. 24th IEEE International

Date of Conference:

7-9 April 2005