基于流量建模的无线传感器WiFi聚合干扰检测研究

2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) Pub Date : 2016-05-26 DOI:10.1109/DCOSS.2016.31

I. Dhanapala, Ramona Marfievici, P. Agrawal, D. Pesch

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引用次数: 0

摘要

我们提出了一种在存在WiFi干扰的情况下识别基于IEEE 802.15.4的无线传感器网络(wsn)传输时序的技术。我们的技术是基于用调制马尔可夫泊松过程(MMPP)模型对WiFi流量进行建模，以便我们能够预测何时发生WiFi传输并避免它们。我们在一个小型试验台上评估了我们模型的准确性。结果是有希望的，表明我们的方法可以提高IEEE802.15.4传输的可靠性。

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Towards Detecting WiFi Aggregated Interference for Wireless Sensors Based on Traffic Modelling

We present a technique to identify transmission timing for IEEE 802.15.4 based Wireless Sensor Networks (WSNs) in the presence of WiFi interference. Our technique is based on modeling WiFi traffic with a Modulated Markov Poisson Process (MMPP) model in order to enable us to predict when WiFi transmissions take place and avoid them. We have evaluated the accuracy of our model in a small test-bed. Results are promising and suggest that our approach can increase the reliability of IEEE802.15.4 transmissions.

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2016 International Conference on Distributed Computing in Sensor Systems (DCOSS)

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