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Development of a UWB-Based Trilateration System for Multi-Mobile Node Indoor Localization

Journal of Electrical and Intelligent Systems · Vol. 1 No. 1 (2026) · pp. 18–23

DOI
10.68129/jeis.v1i1.3
ISSN
3163-7663
Published
2026-04-30
Publisher
Politeknik Elektronika Negeri Surabaya
Language
eng
License
creativecommons.org/licenses/by-sa/4.0

Abstract

Accurate indoor localization is essential for navigation and coordination in multi-agent systems, particularly in environments where Global Positioning System (GPS) signals are unavailable. While ultrawideband (UWB)-based trilateration has been widely studied, most existing works focus on single-node localization and do not explicitly address scalability in terms of computational cost and processing time. This study proposes a scalable multi-mobile node localization framework based on UWB trilateration, with a key contribution in demonstrating linear computational growth with respect to the number of mobile nodes. The system employs UWB DWM1000 modules and the Symmetrical Double-Sided Two-Way Ranging (SDS-TWR) method to estimate distances between mobile nodes and anchor nodes, followed by onboard trilateration for position estimation. Experimental validation is conducted using up to four simultaneous mobile nodes within a 10×10 m indoor environment. The results show that the proposed system maintains centimeter-level accuracy, with RMSE values of 10.08 cm, 11.46 cm, 12.25 cm, and 9.13 cm for nodes 1 to 4, respectively. More importantly, the processing time increases consistently from 55 ms (one node) to 115 ms (four nodes), exhibiting an approximately constant incremental cost of 20 ms per additional node, which confirms the linear scalability of the proposed approach. These findings highlight that the proposed system not only achieves reliable localization accuracy but also ensures predictable and efficient computational performance, making it suitable for real-time multi-node applications such as robot swarm coordination and collaborative autonomous systems.

Keywords

Collaboration network of the authors

38 authors · 118 co-authorship links · 7 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Politeknik Elektronika Negeri Surabaya
  • Institut Teknologi Sepuluh Nopember
  • University of Malaya
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Novie Ayub WindarkoPoliteknik Elektronika Negeri Surabaya3
Evi Nafiatus SholikhahPoliteknik Elektronika Negeri Surabaya2
Rika RokhanaPoliteknik Elektronika Negeri Surabaya2
Wirawan WirawanInstitut Teknologi Sepuluh Nopember1
Gamantyo HendrantoroInstitut Teknologi Sepuluh Nopember1
Eko Henfri BinugrohoPoliteknik Elektronika Negeri Surabaya1
Ilham Mandala PutraPoliteknik Elektronika Negeri Surabaya1
Hazlie MokhlisUniversity of Malaya1
Muhammad Nizar HabibiPoliteknik Elektronika Negeri Surabaya1
Eka PrasetyonoPoliteknik Elektronika Negeri Surabaya1
Moh. Zaenal EfendiPoliteknik Elektronika Negeri Surabaya1
Muhammad Farizky AlvianandyPoliteknik Elektronika Negeri Surabaya1
Santi AnggrainiAffiliation unknown1
Retno SukmaningrumAffiliation unknown1
Paulus Susetyo WardanaAffiliation unknown1
Agrippina Waya RahmaningAffiliation unknown1
Moch. RochmadAffiliation unknown1
Kemalasari KemalasariAffiliation unknown1
Hendhi HermawanAffiliation unknown1
Zainal AriefAffiliation unknown1
Alwansyah Muhammad Mahardhika EndrawanAffiliation unknown1
Ali Husein AlasiryAffiliation unknown1
Era PurwantoPoliteknik Elektronika Negeri Surabaya1
Abdillah Aziz MuntashirAffiliation unknown1
Hanif Hasyier FAkhruddinAffiliation unknown1
Raden Akbar Nur ApriyantoAffiliation unknown1
Niam TamamiAffiliation unknown1
Rizqi Fauzil AzharAffiliation unknown1
Ahmad ZainudinAffiliation unknown1
Bagas Mardiasyah PrakosoAffiliation unknown1
Bima Sena Bayu DewantaraPoliteknik Elektronika Negeri Surabaya1
Bagus Nugraha Deby AriyadiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.pens.ac.id/index.php/jeis/oai, first harvested 6 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc)
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	<dc:title xml:lang="en">Development of a UWB-Based Trilateration System for Multi-Mobile Node Indoor Localization</dc:title>
	<dc:creator xml:lang="en">Oktavianto, Hary</dc:creator>
	<dc:creator xml:lang="en">Wicaksana, Haniif Mulya</dc:creator>
	<dc:creator xml:lang="en">Zhafirah, Audra Annisa</dc:creator>
	<dc:creator xml:lang="en">Syafrudin, Mohammad</dc:creator>
	<dc:creator xml:lang="en">Kristalina, Prima</dc:creator>
	<dc:creator xml:lang="en">Sumantri, Bambang</dc:creator>
	<dc:subject xml:lang="en">trilateration</dc:subject>
	<dc:subject xml:lang="en">localization</dc:subject>
	<dc:subject xml:lang="en">multi node</dc:subject>
	<dc:subject xml:lang="en">ultrawideband DWM1000</dc:subject>
	<dc:description xml:lang="en">Accurate indoor localization is essential for navigation and coordination in multi-agent systems, particularly in environments where Global Positioning System (GPS) signals are unavailable. While ultrawideband (UWB)-based trilateration has been widely studied, most existing works focus on single-node localization and do not explicitly address scalability in terms of computational cost and processing time. This study proposes a scalable multi-mobile node localization framework based on UWB trilateration, with a key contribution in demonstrating linear computational growth with respect to the number of mobile nodes. The system employs UWB DWM1000 modules and the Symmetrical Double-Sided Two-Way Ranging (SDS-TWR) method to estimate distances between mobile nodes and anchor nodes, followed by onboard trilateration for position estimation. Experimental validation is conducted using up to four simultaneous mobile nodes within a 10×10 m indoor environment. The results show that the proposed system maintains centimeter-level accuracy, with RMSE values of 10.08 cm, 11.46 cm, 12.25 cm, and 9.13 cm for nodes 1 to 4, respectively. More importantly, the processing time increases consistently from 55 ms (one node) to 115 ms (four nodes), exhibiting an approximately constant incremental cost of 20 ms per additional node, which confirms the linear scalability of the proposed approach. These findings highlight that the proposed system not only achieves reliable localization accuracy but also ensures predictable and efficient computational performance, making it suitable for real-time multi-node applications such as robot swarm coordination and collaborative autonomous systems.</dc:description>
	<dc:publisher xml:lang="en">Politeknik Elektronika Negeri Surabaya</dc:publisher>
	<dc:date>2026-04-30</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">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.pens.ac.id/jeis/article/view/39</dc:identifier>
	<dc:identifier>10.68129/jeis.v1i1.3</dc:identifier>
	<dc:source xml:lang="en">Journal of Electrical and Intelligent Systems; Vol. 1 No. 1 (2026): April; 18-23</dc:source>
	<dc:source>3163-7663</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.pens.ac.id/jeis/article/view/39/21</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2026 Hary Oktavianto, Haniif Mulya Wicaksana, Audra Annisa Zhafirah, Moch. Syafrudin, Prima Kristalina, Bambang Sumantri (Author)</dc:rights>
	<dc:rights xml:lang="en">https://creativecommons.org/licenses/by-sa/4.0</dc:rights>
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