Sustainability enhancement multihop clustering in cognitive radio sensor networks

Jong Hong Park; Yeonghun Nam; Jong Moon Chung

doi:10.1155/2015/574340

Sustainability enhancement multihop clustering in cognitive radio sensor networks

Jong Hong Park, Yeonghun Nam, Jong Moon Chung

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

4 Citations (Scopus)

Abstract

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.

Original language	English
Article number	574340
Journal	International Journal of Distributed Sensor Networks
Volume	2015
DOIs	https://doi.org/10.1155/2015/574340
Publication status	Published - 2015

Bibliographical note

Publisher Copyright:
© 2015 Jong-Hong Park et al.

All Science Journal Classification (ASJC) codes

Engineering(all)
Computer Networks and Communications

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1155/2015/574340

Fingerprint Dive into the research topics of 'Sustainability enhancement multihop clustering in cognitive radio sensor networks'. Together they form a unique fingerprint.

Cite this

@article{f2bc15966ea7403b8de0fee72b8f900a,

title = "Sustainability enhancement multihop clustering in cognitive radio sensor networks",

abstract = "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.",

author = "Park, {Jong Hong} and Yeonghun Nam and Chung, {Jong Moon}",

note = "Publisher Copyright: {\textcopyright} 2015 Jong-Hong Park et al.",

year = "2015",

doi = "10.1155/2015/574340",

language = "English",

volume = "2015",

journal = "International Journal of Distributed Sensor Networks",

issn = "1550-1329",

publisher = "Hindawi Publishing Corporation",

}

TY - JOUR

T1 - Sustainability enhancement multihop clustering in cognitive radio sensor networks

AU - Park, Jong Hong

AU - Nam, Yeonghun

AU - Chung, Jong Moon

PY - 2015

Y1 - 2015

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84947576216&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947576216&partnerID=8YFLogxK

U2 - 10.1155/2015/574340

DO - 10.1155/2015/574340

M3 - Article

AN - SCOPUS:84947576216

VL - 2015

JO - International Journal of Distributed Sensor Networks

JF - International Journal of Distributed Sensor Networks

SN - 1550-1329

M1 - 574340

ER -

Sustainability enhancement multihop clustering in cognitive radio sensor networks

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

UN SDGs

Access to Document

Other files and links

Cite this