D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things.

ABSTRACT: Spatial correlation between densely deployed sensor nodes in a wireless sensor network (WSN) can be exploited to reduce the power consumption through a proper source coding mechanism such as distributed source coding (DSC). In this paper, we propose the Decoding Delay-based Distributed Source Coding (D-DSC) to improve the energy efficiency of the classical DSC by employing the decoding delay concept which enables the use of the maximum correlated portion of sensor samples during the event estimation. In D-DSC, network is partitioned into clusters, where the clusterheads communicate their uncompressed samples carrying the side information, and the cluster members send their compressed samples. Sink performs joint decoding of the compressed and uncompressed samples and then reconstructs the

SUBMITTER: Aktas M 

PROVIDER: S-EPMC5851590 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature