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Energy-efficient selection of cluster headers in wireless sensor networks

Author

Listed:
  • Adem Fanos Jemal
  • Redwan Hassen Hussen
  • Do-Yun Kim
  • Zhetao Li
  • Tingrui Pei
  • Young-June Choi

Abstract

Clustering is vital for lengthening the lives of resource-constrained wireless sensor nodes. In this work, we propose a cluster-based energy-efficient router placement scheme for wireless sensor networks, where the K-means algorithm is used to select the initial cluster headers and then a cluster header with sufficient battery energy is selected within each cluster. The performance of the proposed scheme was evaluated in terms of the energy consumption, end-to-end delay, and packet loss. Our simulation results using the OPNET simulator revealed that the energy consumption of our proposed scheme was better than that of the low-energy adaptive clustering hierarchy, which is known to be an energy-efficient clustering mechanism. Furthermore, our scheme outperformed low-energy adaptive clustering hierarchy in terms of the end-to-end delay, throughput, and packet loss rate.

Suggested Citation

  • Adem Fanos Jemal & Redwan Hassen Hussen & Do-Yun Kim & Zhetao Li & Tingrui Pei & Young-June Choi, 2018. "Energy-efficient selection of cluster headers in wireless sensor networks," International Journal of Distributed Sensor Networks, , vol. 14(3), pages 15501477187, March.
    • Handle: RePEc:sae:intdis:v:14:y:2018:i:3:p:1550147718764642
    DOI: 10.1177/1550147718764642
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