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Cooperative Localization for the Internet of Things
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS).ORCID iD: 0000-0002-6715-6830
Halmstad University, School of Information Technology, Halmstad Embedded and Intelligent Systems Research (EIS), Centre for Research on Embedded Systems (CERES).ORCID iD: 0000-0003-4894-4134
Federal University of Rio Grande do Sul (UFRGS), Informatics Institute, Porto Alegre, Brazil.
University of Brasilia (UnB), Department of Electrical Engineering (ENE), Brasilia, Brazil.
2021 (English)In: 16. WONS 2021: Virtual Conference: 16th IEEE/IFIP Wireless On-demand Network systems and Services Conference (WONS), WONS 2021, Virtual Conference, March 9-11, 2021, International Federation for Information Processing, 2021, p. 95-99, article id 9415583Conference paper, Published paper (Refereed)
Abstract [en]

The internet of things (IoT) currently has a large range of applications, from wearable to smart cities. Many of these applications require that the nodes inside the networks know their relative or absolute position. To this end, multiple positioning methods can be applied, among such methods are Global Positioning Systems (GPS) or methods that employ time delay of arrival (TDOA). This work presents node localization methods that employ a dual polarization receiver on a single node, or a virtual array when multiple nodes are capable of coop- erating. The proposed approaches aim to minimize the economic cost associated with implementing localization methods, and can be done with simple hardware. The accuracy of the proposed methods is measured trough a set of numerical simulations. © IFIP

Place, publisher, year, edition, pages
International Federation for Information Processing, 2021. p. 95-99, article id 9415583
Keywords [en]
Radio Localization, Cooperative Localization, Internet of Things
National Category
Communication Systems Signal Processing Telecommunications
Identifiers
URN: urn:nbn:se:hh:diva-44274Scopus ID: 2-s2.0-85106024975ISBN: 978-3-903176-35-5 (print)OAI: oai:DiVA.org:hh-44274DiVA, id: diva2:1554428
Conference
16th IEEE/IFIP Wireless On-demand Network systems and Services Conference (WONS), WONS 2021, Virtual Conference, March 9-11, 2021
Funder
Knowledge FoundationSwedish Foundation for Strategic Research
Note

The research leading to the results reported in this work has received funding from the Knowledge Foundation in the framework of SafeSmart ”Safety of Connected Intelligent Ve- hicles in Smart Cities” Synergy project (2019– 2023), Swedish Foundation for Strategic Research (SSF) in the framework of Strategic Mobility Program (2019-2020) and the ELLIIT Strategic Research Network.

Available from: 2021-05-13 Created: 2021-05-13 Last updated: 2021-06-08Bibliographically approved

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Scopushttp://dl.ifip.org/db/conf/wons/wons2021/1570697234.pdf

Authority records

Marques Marinho, Marco AntonioVinel, Alexey

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