A novel centralised clustering algorithm for energy-efficient Wireless Sensor Networks

Stefano Colombo, Naveen Chilamkurti, Sherali Zeadally

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


Wireless Sensor Networks (WSNs) consist of a large number of low-power nodes sensing data from the environment. The sensor nodes are equipped with small and often irreplaceable batteries with limited power capacity. One of the areas of sensor networking that has attracted a lot of attention recently is the prolonging of the life span of sensor networks by exploiting energy-efficient routing schemes. We propose a novel energyefficient centralised clustering algorithm for WSN. The proposed algorithm generates a set of possible clustering alternatives from which it selects the optimal clustering. We also present a performance evaluation of the proposed algorithm using two performance metrics Max-min and Max-sum. We found that Max-sum yields superior performance. In addition, our proposed algorithm improves the system lifetime performance over Low Energy Adaptive Clustering Hierarchy-C by almost 15%. We also compare performance results obtained with the chosen metric (Max-sum) with those obtained using other strategies (such as random and configuration 0). The Max-sum metric outperforms the random and configuration 0 strategies by almost 8.5 and 11%, respectively, for system lifetime. Moreover, we found that the total amount of data collected using the Max-sum metric is at least 9% higher than with random and configuration 0 strategies.

Original languageEnglish
Pages (from-to)242-261
Number of pages20
JournalInternational Journal of Autonomous and Adaptive Communications Systems
Issue number2
StatePublished - Aug 2008


  • Communications
  • Energy
  • Networking
  • Performance
  • Protocol
  • Sensors
  • Wireless

ASJC Scopus subject areas

  • Computer Science (all)
  • Electrical and Electronic Engineering


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