Distributed source coding in dense sensor networks

Details Distributed source coding in dense sensor networks Distributed source coding in dense sensor networks

2007-10-22

arxiv.org/abs/0710.3974v1

Computer Science

Information Theory

This is an extended version of the paper which appeared in the proceedings of, and was presented at, DCC 2005

Scientific paper

We study the problem of the reconstruction of a Gaussian field defined in [0,1] using N sensors deployed at regular intervals. The goal is to quantify the total data rate required for the reconstruction of the field with a given mean square distortion. We consider a class of two-stage mechanisms which a) send information to allow the reconstruction of the sensor's samples within sufficient accuracy, and then b) use these reconstructions to estimate the entire field. To implement the first stage, the heavy correlation between the sensor samples suggests the use of distributed coding schemes to reduce the total rate. We demonstrate the existence of a distributed block coding scheme that achieves, for a given fidelity criterion for the reconstruction of the field, a total information rate that is bounded by a constant, independent of the number $N$ of sensors. The constant in general depends on the autocorrelation function of the field and the desired distortion criterion for the sensor samples. We then describe a scheme which can be implemented using only scalar quantizers at the sensors, without any use of distributed source coding, and which also achieves a total information rate that is a constant, independent of the number of sensors. While this scheme operates at a rate that is greater than the rate achievable through distributed coding and entails greater delay in reconstruction, its simplicity makes it attractive for implementation in sensor networks.

Affiliated with

Also associated with

No associations

Rating

Distributed source coding in dense sensor networks does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Distributed source coding in dense sensor networks, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Distributed source coding in dense sensor networks will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-357758