Optimization of cluster heads for energy efficiency in large-scale wireless sensor networks

Yi Gu, Qishi Wu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Many complex sensor network applications require deploying a large number of inexpensive and small sensors in a vast geographical region to achieve quality through quantity. Hierarchical clustering is generally considered as an efficient and scalable way to facilitate the management and operation of such large-scale networks and minimize the total energy consumption for prolonged lifetime. Judicious selection of cluster heads for data integration and communication is critical to the success of applications based on hierarchical sensor networks organized as layered clusters. We investigate the problem of selecting nodes in a pre-deployed sensor network to be the cluster heads to minimize the total energy needed for data gathering.We rigorously derive an analytical formula to optimize the number of cluster heads in sensor networks under uniform node distribution, and propose a Distance-based Crowdedness Clustering algorithm to determine the cluster heads in sensor networks under general node distribution. The results from an extensive set of experiments on a large number of simulated sensor networks illustrate the performance superiority of the proposed solution over the clustering schemes based on k-means algorithm.

Original languageEnglish (US)
Title of host publicationAd Hoc Networks - First International Conference, ADHOCNETS 2009, Revised Selected Papers
Pages33-48
Number of pages16
DOIs
StatePublished - Dec 1 2010
Externally publishedYes
Event1st International Conference on Ad Hoc Networks, ADHOCNETS 2009 - Niagara Falls, ON, Canada
Duration: Sep 22 2009Sep 25 2009

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering
Volume28 LNICST
ISSN (Print)1867-8211

Other

Other1st International Conference on Ad Hoc Networks, ADHOCNETS 2009
CountryCanada
CityNiagara Falls, ON
Period9/22/099/25/09

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • Cluster heads
  • Energy consumption
  • Optimization
  • Sensor networks

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