Cart (Loading....) | Create Account
Close category search window

Joint source-channel coding for distributed 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

2 Author(s)
Liu, B. ; Dept. of Electr. Eng. & Comput. Sci., Syracuse Univ., NY, USA ; Biao Chen

In a decentralized detection system, a number of peripheral nodes gather observations from an environment and communicate relevant information to a fusion center for collective decision making. In systems employing tetherless transmission between the sensor nodes and the fusion center, the presence of communication channels need to be taken into consideration in the design of local sensor signaling schemes. Motivated by the delay and resource constraints omnipresent in most wireless sensor network applications, we design optimal zero-memory joint source-channel codes (JSCC) for a canonical decentralized detection system. Aimed at minimizing the error probability of the fusion center output, we derive necessary conditions for optimal sensors signaling. The conditions enable us to develop an iterative algorithm to construct optimum distributed encoder at local sensors. The JSCC approach is shown to offer optimal performance compared with various alternatives, including the separate source-quantization and channel-encoding. It also exhibits the inherent adaptivity in resource (bit) allocation in response to varying channel conditions.

Published in:

Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on  (Volume:2 )

Date of Conference:

7-10 Nov. 2004

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.