On-demand clustering mechanism for wireless sensor networks

Sanghyun Ahn, Hwan Kim, Joon Sang Park, Joon Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations


Wireless sensor networks impose strict energy efficiency requirements since the sensor nodes tend to operate with non-rechargeable batteries. The cluster-based communication structure is an attractive solution for energy efficiency, because the cluster head (CH) node gathers the messages from the sensor nodes and transmits them to the sink node. However, the CH selection is challenging due to the distributed nature of sensor networks. In this paper, we propose an energy-efficient clustering mechanism that effectively conducts the CH selection. Our proposal introduces three key contributions. First, the CH is selected on-demand, i.e., only when the residual energy is reduced by some level. Second, each sensor node maintains multiple residual energy levels in order to allow fair CH selection and gradual energy consumption. Finally, the CH node may conduct multi-hop communication to the sink to save energy. These three innovations are combined to provide an energy efficient clustering mechanism for sensor networks. Through extensive Qualnet simulations, we show that our scheme prolongs the network lifetime compared to the previous work.

Original languageEnglish
Title of host publication2013 International Conference on ICT Convergence
Subtitle of host publication"Future Creative Convergence Technologies for New ICT Ecosystems", ICTC 2013
PublisherIEEE Computer Society
Number of pages6
ISBN (Print)9781479906987
StatePublished - 2013
Event2013 International Conference on Information and Communication Technology Convergence, ICTC 2013 - Jeju Island, Korea, Republic of
Duration: 14 Oct 201316 Oct 2013

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241


Conference2013 International Conference on Information and Communication Technology Convergence, ICTC 2013
Country/TerritoryKorea, Republic of
CityJeju Island


  • Cluster head re-election
  • Clustering
  • Energy level
  • Wireless sensor network


Dive into the research topics of 'On-demand clustering mechanism for wireless sensor networks'. Together they form a unique fingerprint.

Cite this