物联网终端设备动态设备配对的隐马尔可夫模型方法

IF 0.5 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Journal of ICT Research and Applications Pub Date : 2021-04-06 DOI:10.5614/ITBJ.ICT.RES.APPL.2020.14.3.5

Aji Gautama Putrada, Nur Ghaniaviyanto Ramadhan

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引用次数: 0

摘要

动态设备配对是一种基于上下文的零交互方法，用于基于接收信号强度指标（RSSI）值对物联网系统中的终端设备进行配对。但是，如果RSSI检测是在高水平下进行的，则由于采样率低，精度很麻烦。本研究提出了隐马尔可夫模型方法来提高动态设备配对检测的性能。本研究实现了一个由接入点、物联网终端设备、物联网平台和物联网应用程序组成的物联网系统，并对两种不同的方法进行了比较，以证明这一概念。结果表明，有HMM的动态设备配对精度优于无HMM的，其值为83,93%。

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

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%.

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来源期刊

Journal of ICT Research and Applications COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

24 weeks

期刊介绍： Journal of ICT Research and Applications welcomes full research articles in the area of Information and Communication Technology from the following subject areas: Information Theory, Signal Processing, Electronics, Computer Network, Telecommunication, Wireless & Mobile Computing, Internet Technology, Multimedia, Software Engineering, Computer Science, Information System and Knowledge Management. Authors are invited to submit articles that have not been published previously and are not under consideration elsewhere.