By Topic

Distributed Sampling Design and Data Fusion for Signal Detection in Cluster-Based 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

3 Author(s)
Tsang-Yi Wang ; Inst. of Commun. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan ; Chao-Tang Yu ; Chih-Hao Tai

This work proposes a distributed sampling design for the signal detection application in the cluster-based wireless sensor networks (WSNs). Considering the energy saving requirement in the cluster-based WSNs, a linear weighting data fusion scheme for data reduction at the cluster head is also developed in this paper. Both the distributed sampling and the data reduction schemes are designed based on Ali-Silvey distance measures. The objective functions are derived in a closed form and two numerical examples are presented to illustrate our distributed sampling design and data reduction scheme. Numerical results show that our sampling design outperforms the uniform sampling and is insensitive to the sampling jitter. The results also show that the performance loss caused by the data reduction is quiet small. Therefore, the proposed schemes are very suitable for the detection applications in battery-powered WSNs.

Published in:

Vehicular Technology Conference Fall (VTC 2009-Fall), 2009 IEEE 70th

Date of Conference:

20-23 Sept. 2009