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

Journal of ICT Research and Applications (JICTRA) · Vol. 14 No. 3 (2021) · pp. 274–285

DOI
10.5614/itbj.ict.res.appl.2020.14.3.5
ISSN
2338-5499, 2337-5787
Published
2021-04-06
Publisher
DRI - ITB
Language
eng

Abstract

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%.

Keywords

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2 authors · 1 co-authorship link

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Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">A Proposed Hidden Markov Model Method for Dynamic Device Pairing on Internet of Things End-Devices</dc:title>
	<dc:creator>Putrada, Aji Gautama</dc:creator>
	<dc:creator>Ramadhan, Nur Ghaniaviyanto</dc:creator>
	<dc:subject xml:lang="en-US">device  pairing</dc:subject>
	<dc:subject xml:lang="en-US">dynamic  device  pairing</dc:subject>
	<dc:subject xml:lang="en-US">hidden Markov  model</dc:subject>
	<dc:subject xml:lang="en-US">Internet  of Things</dc:subject>
	<dc:subject xml:lang="en-US">received signal strength indicator</dc:subject>
	<dc:description xml:lang="en-US">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%.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2021-04-06</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/14656</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2020.14.3.5</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 14 No. 3 (2021); 274-285</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/14656/5142</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2021 Journal of ICT Research and Applications</dc:rights>
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