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Simplified Theoretical Model based Self-adaptive Packet Reception Rate Estimation in Sensor Networks

机译：传感器网络中基于简化理论模型的自适应分组接收速率估计

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Real-time and accurate packet reception rate estimation is crucial for wireless sensor networks. However, existing approaches usually rely on offline data collection and training, which limits their generality. Specifically, models fitted by the test data acquired under specific conditions cannot be used in all environments and for arbitrary packet sizes. In this paper, a simplification method for the theoretical bit error rate model of IEEE 802.15.42.4 GHz physical layer is proposed, which is about 18 to 38 times faster than the original one. Then, with the simplified model, a lightweight packet reception rate estimation approach is designed, which is self-adaptive to different environments and arbitrary packet sizes. With the proposed approach, offline data collection and training are no longer needed, which will reduce deployment cost effectively. Compared with state-of-the-art approaches, estimate error of the proposed one is reduced by 2.46%$sim$74.97% in different environments, and by 2.46%$sim$62.00% for different packet sizes.
机译：实时和准确的分组接收速率估计对于无线传感器网络至关重要。但是，现有方法通常依赖于脱机数据收集和培训，这限制了它们的通用性。特别是，在特定条件下获取的测试数据所拟合的模型不能在所有环境中和任意数据包大小中使用。本文提出了一种简化的IEEE 802.15.42.4 GHz物理层理论误码率模型的方法，该方法比原始方法快18到38倍。然后，利用简化模型，设计了一种轻量级的分组接收速率估计方法，该方法自适应于不同的环境和任意的分组大小。通过提出的方法，不再需要脱机数据收集和培训，这将有效地降低部署成本。与最新方法相比，在不同的环境中，所提出的方法的估计误差降低了2.46％\ sim $ 74.97％，对于不同的数据包大小，其估计误差降低了2.46％\ sim $ 62.00％。

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