Next Article in Journal
Development of a PET Scanner for Simultaneously Imaging Small Animals with MRI and PET
Previous Article in Journal
A Review of Brain-Computer Interface Games and an Opinion Survey from Researchers, Developers and Users
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(8), 14634-14653; doi:10.3390/s140814634

An Energy-Efficient and Compact Clustering Scheme with Temporary Support Nodes for Cognitive Radio Sensor Networks

Department of Computer Engineering, Chosun University, 309 Pilmun-daero, Dong-gu, Gwangju 501-759, Korea
*
Author to whom correspondence should be addressed.
Received: 28 April 2014 / Revised: 24 June 2014 / Accepted: 6 August 2014 / Published: 11 August 2014
(This article belongs to the Section Sensor Networks)
View Full-Text   |   Download PDF [1743 KB, uploaded 11 August 2014]   |  

Abstract

A cognitive radio sensor network (CRSN) is a wireless sensor network whose sensor nodes are equipped with cognitive radio capability. Clustering is one of the most challenging issues in CRSNs, as all sensor nodes, including the cluster head, have to use the same frequency band in order to form a cluster. However, due to the nature of heterogeneous channels in cognitive radio, it is difficult for sensor nodes to find a cluster head. This paper proposes a novel energy-efficient and compact clustering scheme named clustering with temporary support nodes (CENTRE). CENTRE efficiently achieves a compact cluster formation by adopting two-phase cluster formation with fixed duration. By introducing a novel concept of temporary support nodes to improve the cluster formation, the proposed scheme enables sensor nodes in a network to find a cluster head efficiently. The performance study shows that not only is the clustering process efficient and compact but it also results in remarkable energy savings that prolong the overall network lifetime. In addition, the proposed scheme decreases both the clustering overhead and the average distance between cluster heads and their members. View Full-Text
Keywords: cognitive radio sensor network; clustering; energy consumption; lifetime; clustering overhead cognitive radio sensor network; clustering; energy consumption; lifetime; clustering overhead
Figures

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Salim, S.; Moh, S.; Choi, D.; Chung, I. An Energy-Efficient and Compact Clustering Scheme with Temporary Support Nodes for Cognitive Radio Sensor Networks. Sensors 2014, 14, 14634-14653.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top