Sustainability enhancement multihop clustering in cognitive radio sensor networks

Jong Hong Park, Yeonghun Nam, Jong-Moon Chung

Research output: Contribution to journalArticle

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 languageEnglish
Article number574340
JournalInternational Journal of Distributed Sensor Networks
Volume2015
DOIs
Publication statusPublished - 2015 Jan 1

Fingerprint

Cognitive radio
Sensor networks
Sustainable development
Sensor nodes
Clustering algorithms
Base stations
Energy efficiency
Energy utilization

All Science Journal Classification (ASJC) codes

  • Engineering(all)
  • Computer Networks and Communications

Cite this

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Sustainability enhancement multihop clustering in cognitive radio sensor networks. / Park, Jong Hong; Nam, Yeonghun; Chung, Jong-Moon.

In: International Journal of Distributed Sensor Networks, Vol. 2015, 574340, 01.01.2015.

Research output: Contribution to journalArticle

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