An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks
Data collection is an important application of wireless sensor networks (WSNs) and Internet of Things (IoT). Current routing and addressing operations in WSNs are based on IP addresses, while data collection and data queries are normally information-centric. The current IP-based approach incurs sign...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-10-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/20/21/6168 |
| _version_ | 1797549415504805888 |
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| author | Ngoc-Thanh Dinh Younghan Kim |
| author_facet | Ngoc-Thanh Dinh Younghan Kim |
| author_sort | Ngoc-Thanh Dinh |
| collection | DOAJ |
| description | Data collection is an important application of wireless sensor networks (WSNs) and Internet of Things (IoT). Current routing and addressing operations in WSNs are based on IP addresses, while data collection and data queries are normally information-centric. The current IP-based approach incurs significant management overheads and is inefficient for semantic data collection and queries. To address the above issue, this paper proposes a semantic data collection tree (sDCT) construction scheme to build up a semantic data collection tree for wireless sensor networks. The semantic tree is rooted at the edge/sink and supports data collection tasks, queries, and configurations efficiently. We implement the sDCT in Contiki and evaluate the performance of the sDCT in comparison with the state-of-the-art scheme, 6LoWPAN/RPL and L2RMR, using telosb sensors under various scenarios. The obtained results show that the sDCT achieves a significant improvement in terms of the energy efficiency and the packet transmissions required for data collection or a query task compared to 6LoWPAN/RPL and L2RMR. |
| first_indexed | 2024-03-10T15:14:24Z |
| format | Article |
| id | doaj.art-f01384c5bf0c469f87b455f3db1ed790 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T15:14:24Z |
| publishDate | 2020-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-f01384c5bf0c469f87b455f3db1ed7902023-11-20T19:04:03ZengMDPI AGSensors1424-82202020-10-012021616810.3390/s20216168An Information-Centric Semantic Data Collection Tree for Wireless Sensor NetworksNgoc-Thanh Dinh0Younghan Kim1School of Electronic Engineering, Soongsil University, Room 1104, Huyngam Engineering Building 424, Sangdo-dong, Dongjak-Gu, Seoul 06978, KoreaSchool of Electronic Engineering, Soongsil University, Room 1104, Huyngam Engineering Building 424, Sangdo-dong, Dongjak-Gu, Seoul 06978, KoreaData collection is an important application of wireless sensor networks (WSNs) and Internet of Things (IoT). Current routing and addressing operations in WSNs are based on IP addresses, while data collection and data queries are normally information-centric. The current IP-based approach incurs significant management overheads and is inefficient for semantic data collection and queries. To address the above issue, this paper proposes a semantic data collection tree (sDCT) construction scheme to build up a semantic data collection tree for wireless sensor networks. The semantic tree is rooted at the edge/sink and supports data collection tasks, queries, and configurations efficiently. We implement the sDCT in Contiki and evaluate the performance of the sDCT in comparison with the state-of-the-art scheme, 6LoWPAN/RPL and L2RMR, using telosb sensors under various scenarios. The obtained results show that the sDCT achieves a significant improvement in terms of the energy efficiency and the packet transmissions required for data collection or a query task compared to 6LoWPAN/RPL and L2RMR.https://www.mdpi.com/1424-8220/20/21/6168internet of thingsIoT service function chainsnetwork function virtualizationfog computingedge computinghigh availability |
| spellingShingle | Ngoc-Thanh Dinh Younghan Kim An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks Sensors internet of things IoT service function chains network function virtualization fog computing edge computing high availability |
| title | An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks |
| title_full | An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks |
| title_fullStr | An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks |
| title_full_unstemmed | An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks |
| title_short | An Information-Centric Semantic Data Collection Tree for Wireless Sensor Networks |
| title_sort | information centric semantic data collection tree for wireless sensor networks |
| topic | internet of things IoT service function chains network function virtualization fog computing edge computing high availability |
| url | https://www.mdpi.com/1424-8220/20/21/6168 |
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