Algorithmic construction of optimal and load balanced clusters in wireless sensor networks

  • Mohammad Hammoudeh*
  • , Omar Aldabbas
  • , Sarah Mount
  • , Saeed Abuzour
  • , Mai Alfawair
  • , Serein Alratrout
  • *Corresponding author for this work

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

7 Scopus citations

Abstract

This paper proposes a clustering algorithm - Balanced Minimum Radius Clustering (BMRC) - for use in large scale, distributed Wireless Sensor Networks (WSN). Cluster balancing is an intractable problem to solve in a distributed manner, and distribution is important, by reason of both avoiding specialised node vulnerability and minimising message overhead. The BMRC algorithm described here distributes several of the cluster balancing functions to the cluster-heads. In proposing this algorithm, several tentative claims have been made for it, namely that it is suitable for arbitrary number of cluster heads; that it specifies a way to elect cluster heads and use them to create the local models; that it accomplishes optimal balanced clusters in distributed manner; that it is scalable and it uses the number-of-hops as a clustering parameter; that it is energy efficient. These claims were studied and verified by simulation.

Original languageEnglish
Title of host publication2010 7th International Multi-Conference on Systems, Signals and Devices, SSD-10
DOIs
StatePublished - 2010
Externally publishedYes

Publication series

Name2010 7th International Multi-Conference on Systems, Signals and Devices, SSD-10

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Clustering
  • Load-Balancing
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Control and Systems Engineering

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