Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks
A cognitive radio based hybrid data-type clustering (CR-HDC) algorithm is proposed to maximize network energy efficiency of cognitive radio (CR) sensor networks (CRSNs). By analyzing the overall energy consumption of CRSNs under various conditions, the optimal transmission range of a sensor node can...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi - SAGE Publishing
2015-10-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1155/2015/574340 |
| _version_ | 1797726203971371008 |
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| author | Jong-Hong Park Yeonghun Nam Jong-Moon Chung |
| author_facet | Jong-Hong Park Yeonghun Nam Jong-Moon Chung |
| author_sort | Jong-Hong Park |
| collection | DOAJ |
| description | A cognitive radio based hybrid data-type clustering (CR-HDC) algorithm is proposed to maximize network energy efficiency of cognitive radio (CR) sensor networks (CRSNs). By analyzing the overall energy consumption of CRSNs under various conditions, the optimal transmission range of a sensor node can be obtained for both when spectrum handoff (SHO) is applied and when it is not. Simulation results show that CR-HDC achieves performance enhancements in terms of network lifetime and the number of packets received at the base station (BS) compared to when applying the centralized low energy adaptive clustering hierarchy (LEACH-C) or hybrid data-type clustering (HDC) to CRSN environments. |
| first_indexed | 2024-03-12T10:42:23Z |
| format | Article |
| id | doaj.art-2254d4e90e3d43c7a65239eeef7ba83f |
| institution | Directory Open Access Journal |
| issn | 1550-1477 |
| language | English |
| last_indexed | 2024-03-12T10:42:23Z |
| publishDate | 2015-10-01 |
| publisher | Hindawi - SAGE Publishing |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj.art-2254d4e90e3d43c7a65239eeef7ba83f2023-09-02T07:59:08ZengHindawi - SAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772015-10-011110.1155/2015/574340574340Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor NetworksJong-Hong ParkYeonghun NamJong-Moon ChungA cognitive radio based hybrid data-type clustering (CR-HDC) algorithm is proposed to maximize network energy efficiency of cognitive radio (CR) sensor networks (CRSNs). By analyzing the overall energy consumption of CRSNs under various conditions, the optimal transmission range of a sensor node can be obtained for both when spectrum handoff (SHO) is applied and when it is not. Simulation results show that CR-HDC achieves performance enhancements in terms of network lifetime and the number of packets received at the base station (BS) compared to when applying the centralized low energy adaptive clustering hierarchy (LEACH-C) or hybrid data-type clustering (HDC) to CRSN environments.https://doi.org/10.1155/2015/574340 |
| spellingShingle | Jong-Hong Park Yeonghun Nam Jong-Moon Chung Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks International Journal of Distributed Sensor Networks |
| title | Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks |
| title_full | Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks |
| title_fullStr | Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks |
| title_full_unstemmed | Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks |
| title_short | Sustainability Enhancement Multihop Clustering in Cognitive Radio Sensor Networks |
| title_sort | sustainability enhancement multihop clustering in cognitive radio sensor networks |
| url | https://doi.org/10.1155/2015/574340 |
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