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...

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Main Authors: Jong-Hong Park, Yeonghun Nam, Jong-Moon Chung
Format: Article
Language:English
Published: Wiley 2015-10-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/574340
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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.
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institution OA Journals
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language English
publishDate 2015-10-01
publisher Wiley
record_format Article
series International Journal of Distributed Sensor Networks
spelling doaj-art-2254d4e90e3d43c7a65239eeef7ba83f2025-08-20T02:04:06ZengWileyInternational 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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AT yeonghunnam sustainabilityenhancementmultihopclusteringincognitiveradiosensornetworks
AT jongmoonchung sustainabilityenhancementmultihopclusteringincognitiveradiosensornetworks