D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things.
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2018-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC5851590?pdf=render |
| _version_ | 1828333360825499648 |
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| author | Metin Aktas Murat Kuscu Ergin Dinc Ozgur B Akan |
| author_facet | Metin Aktas Murat Kuscu Ergin Dinc Ozgur B Akan |
| author_sort | Metin Aktas |
| collection | DOAJ |
| description | 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 event signal using the decoded sensor readings. Based on the observed degree of the correlation among sensor samples, the sink dynamically updates and broadcasts the varying compression rates back to the sensor nodes. Simulation results for the performance evaluation reveal that D-DSC can achieve reliable and energy-efficient event communication and estimation for practical signal detection/estimation applications having massive number of sensors towards the realization of Internet of Sensing Things (IoST). |
| first_indexed | 2024-04-13T21:19:02Z |
| format | Article |
| id | doaj.art-e099526371034a318afb8b9db05edc1b |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-04-13T21:19:02Z |
| publishDate | 2018-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-e099526371034a318afb8b9db05edc1b2022-12-22T02:29:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032018-01-01133e019315410.1371/journal.pone.0193154D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things.Metin AktasMurat KuscuErgin DincOzgur B AkanSpatial 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 event signal using the decoded sensor readings. Based on the observed degree of the correlation among sensor samples, the sink dynamically updates and broadcasts the varying compression rates back to the sensor nodes. Simulation results for the performance evaluation reveal that D-DSC can achieve reliable and energy-efficient event communication and estimation for practical signal detection/estimation applications having massive number of sensors towards the realization of Internet of Sensing Things (IoST).http://europepmc.org/articles/PMC5851590?pdf=render |
| spellingShingle | Metin Aktas Murat Kuscu Ergin Dinc Ozgur B Akan D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. PLoS ONE |
| title | D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. |
| title_full | D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. |
| title_fullStr | D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. |
| title_full_unstemmed | D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. |
| title_short | D-DSC: Decoding Delay-based Distributed Source Coding for Internet of Sensing Things. |
| title_sort | d dsc decoding delay based distributed source coding for internet of sensing things |
| url | http://europepmc.org/articles/PMC5851590?pdf=render |
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