By Topic

A data analysis and visualization algorithm based on locally linear approximating for WSN

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)
Xin Song ; Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China ; Cuirong Wang

In order to extract detailed information about the environment, a mass of high dimensional nonlinear data information were collected by wireless multimedia sensor network nodes. The analysis and visualization of sensory data is a very important aspect of sensor network application system. In this paper, we propose Locally Linear Approximating (LLA) algorithm. It reaches the aim of locally linear approximating through adopting the way of direct gradients estimation, thus realizes the dimensionality reduction of the high-dimensional nonlinear data. The presented algorithm is proven to satisfy its goals through the computer simulations, and can provide a basis for the complex nonlinear sensory data classification and retrieval.

Published in:

Networking, Sensing and Control (ICNSC), 2010 International Conference on

Date of Conference:

10-12 April 2010