An Experimental Study of Cross-Technology Interference in In-Vehicle Wireless Sensor Networks

Rasool Tavakoli, Majid Nabi, T. Basten, K. Goossens
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引用次数: 13

Abstract

Wireless in-vehicle networks are considered as a flexible and cost-efficient solution for the new generation of cars. One of the candidate wireless technologies for these wireless sensor networks is the IEEE 802.15.4 standard which operates in the 2.4 GHz ISM band. This is while the number of wireless devices that operate in this band is ever increasing. This broad usage of the same RF band may cause considerable performance degradation of wireless networks due to interference. There is some work on the coexistence of the IEEE 802.15.4 protocol and other standard technologies such as IEEE 802.11 (Wi-Fi) and IEEE 802.15.1 (Bluetooth), but none of it considers the highly dynamic conditions of in-vehicle networks. In this paper, we investigate the interference behavior in in-vehicle environments using real-world experiments. We consider different scenarios and measure the interference on all the 16 channels of IEEE 802.15.4 in the 2.4 GHz band.The measurement data set is available to the public. This real-world data set can be used for realistic and accurate network simulation. To study the effect of interference on in-vehicle networks, we use this data set to evaluate the performance of an IEEE 802.15.4e TSCH link. The simulation results show that the packet error rate for some interference scenarios is considerably high and dynamic over time. This shows the value of the data set and reveals the importance of using adaptive interference mitigation techniques to improve the reliability of wireless in-vehicle networks.
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车载无线传感器网络中跨技术干扰的实验研究
无线车载网络被认为是新一代汽车灵活且经济高效的解决方案。这些无线传感器网络的候选无线技术之一是在2.4 GHz ISM频段工作的IEEE 802.15.4标准。与此同时,在该频段运行的无线设备数量也在不断增加。广泛使用相同的射频频段可能会由于干扰而导致无线网络的性能下降。有一些关于IEEE 802.15.4协议和其他标准技术(如IEEE 802.11 (Wi-Fi)和IEEE 802.15.1(蓝牙))共存的工作,但它们都没有考虑到车载网络的高度动态条件。在本文中,我们通过实际实验研究了车载环境中的干扰行为。我们考虑了不同的场景,并测量了2.4 GHz频段IEEE 802.15.4所有16个通道的干扰。该测量数据集可供公众使用。这个真实世界的数据集可以用于真实和准确的网络模拟。为了研究干扰对车载网络的影响,我们使用该数据集来评估IEEE 802.15.4e TSCH链路的性能。仿真结果表明,在某些干扰情况下,数据包错误率相当高,且随时间变化呈动态变化。这显示了数据集的价值,并揭示了使用自适应干扰缓解技术来提高无线车载网络可靠性的重要性。
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