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An Enhanced Cluster Head Selection of LEACH Based on Power Consumption and Density of Sensor Nodes in Wireless Sensor Networks

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Abstract

The cluster head of LEACH algorithm was selected randomly in WSNs. It effects the distribution of clusters for the shadowing effect of obstruction in real scenarios. The network consumption is increased because of poor communication between nodes. A new selection method is presented to solve those problems in this paper. The logarithmic function is adopted to eliminate the shadowing effect of obstruction. The most suitable cluster is sorted out because the density of nodes is defined as the new threshold value. Simulation results show that the performances of new algorithm are obviously better than LEACH, ALEACH and Kost-LEACH algorithms. Compared with classical algorithms, the nodes utilization could enhance more than 2.0%, average energy consumption of the nodes is reduced by 9.1 J at least, and the probability of nodes failure to join the cluster could be decreased great than 3.7%.

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Acknowledgments

This work was founded by National Natural Science Foundation of China (Grant No. 61401004).

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Authors and Affiliations

  1. School of Physics and Electronic Information, Anhui Normal University, Wuhu, 241000, China

    Xu-Xing Ding, Ting-ting Wang, Hao Chu, Xuan Liu & You-hong Feng

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  1. Xu-Xing Ding
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  2. Ting-ting Wang
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  3. Hao Chu
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  4. Xuan Liu
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Correspondence to Xu-Xing Ding.

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Ding, XX., Wang, Tt., Chu, H. et al. An Enhanced Cluster Head Selection of LEACH Based on Power Consumption and Density of Sensor Nodes in Wireless Sensor Networks. Wireless Pers Commun 109, 2277–2287 (2019). https://doi.org/10.1007/s11277-019-06681-8

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  • DOI: https://doi.org/10.1007/s11277-019-06681-8

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