An Energy-Saving Hybrid-Optimization Scheduling Algorithm Based on Fat Tree in WSN


Cheng Li, Guoyin Zhang, Honglie Zhang, Journal of Information Processing Systems Vol. 21, No. 4, pp. 413-426, Aug. 2025  

https://doi.org/10.3745/JIPS.03.0206
Keywords: energy consumption, Fat Tree, Hybrid-Optimization Scheduling Algorithm, Lifecycle
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Abstract

In the data scheduling process of wireless sensor network (WSN), node data fusion is one of the main methods to reduce network communication volume. The decrease in network communication volume contributes to the network energy consumption reduction, which is crucial for improving the WSN lifecycle. Hence, we propose an energy-saving hybrid-optimization scheduling algorithm based on fat tree (FT) for WSN, which is referred to as the FTEBHSA algorithm. In the scheduling algorithm, multiple strategies are adopted to optimize for saving energy, involving shortest path tree optimization, fusion tree load balance, a fusion node rotation mechanism, and a sleep mechanism for monitoring nodes. More importantly, we introduce the FT structure to organically integrate these strategies for reducing the energy consumption and boosting the WSN lifecycle. The simulation experiment results verify that the proposed hybrid-optimization scheduling algorithm performs optimally in optimizing the energy consumption.


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Cite this article
[APA Style]
Li, C., Zhang, G., & Zhang, H. (2025). An Energy-Saving Hybrid-Optimization Scheduling Algorithm Based on Fat Tree in WSN. Journal of Information Processing Systems, 21(4), 413-426. DOI: 10.3745/JIPS.03.0206.

[IEEE Style]
C. Li, G. Zhang, H. Zhang, "An Energy-Saving Hybrid-Optimization Scheduling Algorithm Based on Fat Tree in WSN," Journal of Information Processing Systems, vol. 21, no. 4, pp. 413-426, 2025. DOI: 10.3745/JIPS.03.0206.

[ACM Style]
Cheng Li, Guoyin Zhang, and Honglie Zhang. 2025. An Energy-Saving Hybrid-Optimization Scheduling Algorithm Based on Fat Tree in WSN. Journal of Information Processing Systems, 21, 4, (2025), 413-426. DOI: 10.3745/JIPS.03.0206.