Work-In-Progress: Rssi-Based Presence Detection In Industrial Wireless Sensor Networks

Hans-Peter Bernhard, Julian Karoliny, B. Etzlinger, A. Springer
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引用次数: 1

Abstract

We propose to add a monitoring system consisting of so-called path-and guard nodes to industrial wireless sensor networks (IWSNs), to increase the security level by using receive signal strength indicator (RSSI) measurements. Via these measurements, the monitoring system determines the presence of a mobile sensor node in a predefined area, which can be used to handle access rights and to increase automation capabilities in industrial applications. We add this monitoring system to an IWSN based on the EPhESOS protocol, which has a high degree of flexibility to meet industrial requirements in different applications throughout the lifetime of a sensor node while enabling energy-autonomous operation. Two practical machine learning algorithms for RSSI-based presence detection are presented, namely a support vector machine and a neural network algorithm. They are evaluated in an automotive example and tested for their robustness against malicious attacks. Additionally, a method to find the best node locations of the monitoring system is presented.
工作进展:基于rsi的工业无线传感器网络存在检测
我们建议在工业无线传感器网络(iwsn)中添加一个由所谓的路径和保护节点组成的监控系统,通过使用接收信号强度指示器(RSSI)测量来提高安全水平。通过这些测量,监控系统确定预定义区域中移动传感器节点的存在,该节点可用于处理访问权限并提高工业应用中的自动化能力。我们将该监控系统添加到基于EPhESOS协议的IWSN中,该协议具有高度的灵活性,可以在传感器节点的整个生命周期内满足不同应用的工业要求,同时实现能源自主操作。提出了两种实用的基于rssi的存在检测机器学习算法,即支持向量机和神经网络算法。在一个汽车示例中对它们进行了评估,并测试了它们对恶意攻击的鲁棒性。此外,还提出了一种寻找监控系统最佳节点位置的方法。
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