Distributed Compressive Data Gathering Framework for Correlated Data in Wireless Sensor Networks
Keywords:
Compressive Data Gathering, Data Compression, Joint Sparsity, Sparse Signal, Spatial Correlation, Temporal Correlation,Abstract
In wireless sensor network existing spatial (inter) and temporal (intra) correlation causes redundant data in the network. Exploiting the existing spatial (inter) and temporal (intra) correlation to effectively compress data thereby reducing redundancy to reduce data traffic in network is of prime concern. In this paper, we propose a 2-D distributed compressive data gathering framework to reduce redundancy in sensor network data. We also analyze the performance of the proposed scheme with random DCT and DFT measurement matrices on real data sets of sensor readings with different sparsity. Results indicate that high compression can be achieved with negligible mean square error in recovery from far fewer number of samples than the traditional Nyquist rate at the sink thereby enhancing network life time to large extent in large scale wireless sensor networks. Also, the recovery performance improves depending upon the sparsity measure and the measurement matrices used for compressing the data.Downloads
Published
How to Cite
Issue
Section
License
TRANSFER OF COPYRIGHT AGREEMENT
The manuscript is herewith submitted for publication in the Journal of Telecommunication, Electronic and Computer Engineering (JTEC). It has not been published before, and it is not under consideration for publication in any other journals. It contains no material that is scandalous, obscene, libelous or otherwise contrary to law. When the manuscript is accepted for publication, I, as the author, hereby agree to transfer to JTEC, all rights including those pertaining to electronic forms and transmissions, under existing copyright laws, except for the following, which the author(s) specifically retain(s):
- All proprietary right other than copyright, such as patent rights
- The right to make further copies of all or part of the published article for my use in classroom teaching
- The right to reuse all or part of this manuscript in a compilation of my own works or in a textbook of which I am the author; and
- The right to make copies of the published work for internal distribution within the institution that employs me
I agree that copies made under these circumstances will continue to carry the copyright notice that appears in the original published work. I agree to inform my co-authors, if any, of the above terms. I certify that I have obtained written permission for the use of text, tables, and/or illustrations from any copyrighted source(s), and I agree to supply such written permission(s) to JTEC upon request.