Research Output

Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks

  In Wireless Sensor Networks, clustering sensor nodes into disjoint groups is widely used to achieve load balance and increase network lifetime. In particular, traditional unequal clustering approaches where small clusters located close to the base station suffer from rapid energy depletion compared to others.To overcome the traffic load problem of near base station clusters, we propose a new two level unequal cluster lightweight approach based on a threshold defined by the base station and using nodes’s residual energy and the distance from base station. Moreover, we developed a new re-clustering technique where Cluster heads rotate locally in each cluster on a per level basis. Simulation results shows that the proposed mechanism outperforms its counterpart algorithms.

  • Type:

    Conference Paper (unpublished)

  • Date:

    28 June 2018

  • Publication Status:

    Unpublished

  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    Edinburgh Napier Funded

Citation

Ali, A. E., Al-Dubai, A., Romdhani, I., & Eshaftri, M. (2018, June). Reliable and Energy-Efficient Two Levels Unequal Clustering Mechanism for Wireless Sensor Networks. Paper presented at The 16th IEEE International Conference on Smart City (IEEE SmartCity-2018), Exeter, UK

Authors

Keywords

Internet of Things, Wireless Sensor Networks,

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