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T-LEACH: The method of threshold-based cluster head replacement for wireless sensor networks

Author

Listed:
  • Jiman Hong

    (Soongsil University)

  • Joongjin Kook

    (Soongsil University)

  • Sangjun Lee

    (Soongsil University)

  • Dongseop Kwon

    (Myongji University)

  • Sangho Yi

    (Seoul National University)

Abstract

In wireless sensor networks, power is the most essential resource because each sensor node has limited batteries. Many kinds of existing clustering protocols have been developed to balance and maximize lifetime of the sensor nodes in wireless sensor networks. These protocols select cluster heads periodically, and they considered only ‘How can we select cluster heads energy-efficiently?’ or ‘What is the best selection of cluster heads?’ without considering energy-efficient period of the cluster heads replacement. Unnecessary head selection may dissipate limited battery power of the entire sensor networks. In this paper, we present T-LEACH, which is a threshold-based cluster head replacement scheme for clustering protocols of wireless sensor networks. T-LEACH minimizes the number of cluster head selection by using threshold of residual energy. Reducing the amount of head selection and replacement cost, the lifetime of the entire networks can be extended compared with the existing clustering protocols. Our simulation results show that T-LEACH outperformed LEACH in terms of balancing energy consumption and network lifetime.

Suggested Citation

  • Jiman Hong & Joongjin Kook & Sangjun Lee & Dongseop Kwon & Sangho Yi, 2009. "T-LEACH: The method of threshold-based cluster head replacement for wireless sensor networks," Information Systems Frontiers, Springer, vol. 11(5), pages 513-521, November.
    • Handle: RePEc:spr:infosf:v:11:y:2009:i:5:d:10.1007_s10796-008-9121-4
    DOI: 10.1007/s10796-008-9121-4
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    Cited by:

    1. Li, Mingxue & Zhang, Yufeng & Li, Kexin & Zhang, Yiwen & Xu, Kaixuan & Liu, Xiaoqiang & Zhong, Shaoxuan & Cao, Jiamu, 2022. "Self-powered wireless sensor system for water monitoring based on low-frequency electromagnetic-pendulum energy harvester," Energy, Elsevier, vol. 251(C).

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