基于无线传感器网络多径传输的数据丢包率预测

2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC) Pub Date : 2015-09-01 DOI:10.1109/IMCCC.2015.17

Feng Cui, C. Wang

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引用次数: 0

摘要

根据无线传感器网络运行环境的不同，网络参数的变化会导致数据丢包。提出了一种利用人工神经网络预测数据丢包率的方法。将DPL的百分比表示为实现可靠多径传输的传输路径选择概率。通过与FEC编码多径传输策略的比较，证明了该方法具有令人满意的仿真效果。

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Prediction of Percentage Data Packet Loss Based Multipath Transmission of Wireless Sensor Networks

Depending on the operational environment of wireless sensor networks, data packet loss happens when parameters changing of net. This paper presents a method to predict the percentage of data packet loss (DPL) by artificial neural networks. The percentage of DPL is presented as the path selecting probability of transmission path to achieving reliable multipath transmission. By comparing with the FEC coding multi-path transmission strategy, this method is proved to present satisfactory simulation result.

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来源期刊

2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)

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