XiaoYongqin, XuLi, XieZhengrong. A GROUPING MECHANISM TO IMPROVE HALOW NETWORK THROUGHPUT[J]. Computer Applications and Software, 2025, 42(7): 126-131,147. DOI: 10.3969/j.issn.1000-386x.2025.07.017
Citation: XiaoYongqin, XuLi, XieZhengrong. A GROUPING MECHANISM TO IMPROVE HALOW NETWORK THROUGHPUT[J]. Computer Applications and Software, 2025, 42(7): 126-131,147. DOI: 10.3969/j.issn.1000-386x.2025.07.017

A GROUPING MECHANISM TO IMPROVE HALOW NETWORK THROUGHPUT

  • Addressing the challenges of reducing hidden nodes and contention collisions in massive IoT connection scenarios to improve per-node throughput is critical for HaLow applications. This paper proposes an Enhanced Restricted Access Window (E-RAW) grouping method based on IEEE 802.11ah technical features, incorporating channel fading and throughput models. The mechanism grouped nodes by signal-to-noise ratio (SNR) under the RAW framework, followed by secondary verification to eliminate intra-group hidden nodes. Simulation results demonstrate approximately about 40% total network throughput improvement and over 20% reduction in hidden terminals compared to baseline methods.
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