基于IEEE 802.15.4物理层的无线网络链路质量估计方法研究
Research onWireless Network Link Quality Estimation Method Based on IEEE 802.15.4 Physical Layer
DOI: 10.12677/mos.2024.133365, PDF,  被引量    国家自然科学基金支持
作者: 史佳杰, 邱宇航, 龙海兵, 施伟斌*：上海理工大学光电信息与计算机工程学院，上海
关键词: IEEE 802.15.4；链路质量估计；Matlab仿真；PSR；IEEE 802.15.4； Link Quality Estimation； Matlab Simulation； PSR
摘要: 链路质量估计是无线网络选择传输路径的基础，本文对基于理论模型估计链路质量的方法进行了研究，对IEEE 802.15.4接收机的接收成功率进行了分析，并通过仿真验证了理论计算方法的正确性。本文进一步提出一种链路质量估计方法LEAS (Link Estimation with Asynchronous Samples)，利用异步采集的SINR样本按照简化的模型计算瞬时PSR估计值，再通过滑动窗口和指数加权移动平均算法对PSR瞬时值进行滤波，与现有方法相比，本文提出的方法具有较高的估计精度，无需离线训练模型，并且，通用性好，计算开销较小，适用于资源有限的无线传感器网络节点。实验结果显示，LEAS具有较高的精度，在多种实验条件下平均的MSE为1.1 × 10−2。
Abstract: Link quality estimation is the basis of wireless network transmission path selection. This paper studies the method of link quality estimation based on theoretical model, analyzes the receiving success rate of IEEE 802.15.4 receiver, and verifies the correctness of the theoretical calculation method through simulation. This paper further proposes a Link Estimation method, LEAS (Link Estimation with Asynchronous Samples), which uses SINR samples collected asynchronously to calculate the instantaneous PSR estimates according to a simplified model. Then, the PSR transient value is filtered by sliding window and exponential weighted moving average algorithm. Compared with the existing methods, the proposed method has higher estimation accuracy, no need to train the model offline, and has good universality and low calculation cost, which is suitable for the nodes of wireless sensor networks with limited resources. The experimental results show that LEAS has high accuracy, and under various experimental conditions, the average MSE is 1.1 × 10−2.
文章引用：史佳杰, 邱宇航, 龙海兵, 施伟斌. 基于IEEE 802.15.4物理层的无线网络链路质量估计方法研究[J]. 建模与仿真, 2024, 13(3): 4019-4034. https://doi.org/10.12677/mos.2024.133365

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