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A Proposed Hidden Markov Model Method for Dynamic Device Pairing on Internet of Things End-Devices

机译:一种提出的隐马尔可夫模型方法,用于在内部设备互联网上配对的动态设备配对

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Dynamic device pairing is a context-based zero-interaction method to pair end-devices in an IoT System based on Received Signal Strength Indicator (RSSI) values. But if RSSI detection is done in high level, the accuracy is troublesome due to poor sampling rates. This research proposes the Hidden Markov Model method to increase the performance of dynamic device pairing detection. This research implements an IoT system consisting an Access Point, an IoT End Device, an IoT Platform, and an IoT application and performs a comparison of two different methods to prove the concept. The results show that the precision of dynamic device pairing with HMM is better than without HMM and the value is 83,93%.
机译:动态设备配对是一种基于上下文的零交互方法,用于基于接收的信号强度指示符(RSSI)值对IOT系统中的终端设备配对。但是,如果RSSI检测到高水平完成,则由于采样率差,准确性是麻烦的。本研究提出了隐藏的马尔可夫模型方法来提高动态设备配对检测的性能。该研究实现了由接入点,物联网端设备,物联网平台和物联网应用程序组成的IOT系统,并执行两个不同方法来证明该概念的比较。结果表明,动态装置与嗯,恒生的精度比没有HMM更好,值为83,93%。

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