Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review
Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precisi...
Gespeichert in:
Veröffentlicht in: | IEEE access 2022, Vol.10, p.44413-44445 |
---|---|
Hauptverfasser: | , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 44445 |
---|---|
container_issue | |
container_start_page | 44413 |
container_title | IEEE access |
container_volume | 10 |
creator | Elsanhoury, Mahmoud Makela, Petteri Koljonen, Janne Valisuo, Petri Shamsuzzoha, Ahm Mantere, Timo Elmusrati, Mohammed Kuusniemi, Heidi |
description | Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based indoor localisation systems. In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications. However, UWB localisation technology faces several challenges that are somewhat similar to other technologies, such as mitigating errors that originate from non-line-of-sight (NLOS) situations and tackling signal interference in dense environments, and when required to operate in extreme conditions. This paper reviews the most recent advances made in UWB positioning systems over the last five years, with a focus on high-ranking articles. In addition to going through more conventional solutions to UWB challenges, modern solutions, which involve the use of machine learning and sensor data fusion, are discussed. We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. Additionally, we address a major challenge that faces the UWB positioning technology: NLOS situations, focusing on some proposed remedies such as multi-sensor fusion and machine learning. As an application, this study introduces how UWB technology promotes smart logistics by offering indoor positioning to improve efficiencies in the delivery of goods from the source to the customer. Furthermore, it demonstrates the benefits of UWB technology for accurate positioning and tracking of both stationary and moving items, and machinery in an indoor logistics environment. |
doi_str_mv | 10.1109/ACCESS.2022.3169267 |
format | Article |
fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_proquest_journals_2659345933</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9761257</ieee_id><doaj_id>oai_doaj_org_article_60f67b798972493aba25299e7564a472</doaj_id><sourcerecordid>2659345933</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-d167c468a9450e4b145d9cfefded2dccc203d0f0cdddf12b9cb66aef8706e1f53</originalsourceid><addsrcrecordid>eNpNUV1rGzEQPEoLDUl-QV4EfT5X3zr1zTVpajBpqGP6KHTS6iLXPaXSJSH_vnIuhAoWDbs7s7tM01wQvCAE68_L1epyu11QTOmCEampVO-aE1pRywST7__DH5vzUva4vq6mhDppft9kcLHENKKbVOJUQRwHFFJG2z82T2iThlim6AralWNld5iybX9FD70dPboFdzemQxqe26-2gEfr0adKvraPcbBHuS9oiX7CY4Sns-ZDsIcC56__abP7dnm7-t5uflytV8tN6zjuptYTqRyXndVcYOA94cJrFyB48NQ75yhmHgfsvPeB0F67XkoLoVNYAgmCnTbrWdcnuzf3OdZDnk2y0bwkUh5MvSy6AxiJg1S90p1WlGtme0sF1RqUkNxyRavWp1nrPqe_D1Ams08PeazrGyqFZrwGq11s7nI5lZIhvE0l2BxNMrNJ5miSeTWpsi5mVgSAN4ZWklCh2D_8_Y5X</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2659345933</pqid></control><display><type>article</type><title>Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Elsanhoury, Mahmoud ; Makela, Petteri ; Koljonen, Janne ; Valisuo, Petri ; Shamsuzzoha, Ahm ; Mantere, Timo ; Elmusrati, Mohammed ; Kuusniemi, Heidi</creator><creatorcontrib>Elsanhoury, Mahmoud ; Makela, Petteri ; Koljonen, Janne ; Valisuo, Petri ; Shamsuzzoha, Ahm ; Mantere, Timo ; Elmusrati, Mohammed ; Kuusniemi, Heidi</creatorcontrib><description>Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based indoor localisation systems. In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications. However, UWB localisation technology faces several challenges that are somewhat similar to other technologies, such as mitigating errors that originate from non-line-of-sight (NLOS) situations and tackling signal interference in dense environments, and when required to operate in extreme conditions. This paper reviews the most recent advances made in UWB positioning systems over the last five years, with a focus on high-ranking articles. In addition to going through more conventional solutions to UWB challenges, modern solutions, which involve the use of machine learning and sensor data fusion, are discussed. We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. Additionally, we address a major challenge that faces the UWB positioning technology: NLOS situations, focusing on some proposed remedies such as multi-sensor fusion and machine learning. As an application, this study introduces how UWB technology promotes smart logistics by offering indoor positioning to improve efficiencies in the delivery of goods from the source to the customer. Furthermore, it demonstrates the benefits of UWB technology for accurate positioning and tracking of both stationary and moving items, and machinery in an indoor logistics environment.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2022.3169267</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Data integration ; Indoor environments ; Indoor navigation ; indoor positioning systems (IPS) ; IP networks ; Localization ; Logistics ; Machine learning ; Multisensor fusion ; Navigation ; navigation and localisation ; New technology ; Optimization ; Real-time systems ; Sensor fusion ; smart logistics ; Ultra wideband technology ; Ultra-wideband (UWB) ; Ultrawideband</subject><ispartof>IEEE access, 2022, Vol.10, p.44413-44445</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-d167c468a9450e4b145d9cfefded2dccc203d0f0cdddf12b9cb66aef8706e1f53</citedby><cites>FETCH-LOGICAL-c408t-d167c468a9450e4b145d9cfefded2dccc203d0f0cdddf12b9cb66aef8706e1f53</cites><orcidid>0000-0002-9195-4613 ; 0000-0001-9394-1114 ; 0000-0002-7551-9531 ; 0000-0001-5834-4437</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9761257$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,860,2096,4010,27610,27900,27901,27902,54908</link.rule.ids></links><search><creatorcontrib>Elsanhoury, Mahmoud</creatorcontrib><creatorcontrib>Makela, Petteri</creatorcontrib><creatorcontrib>Koljonen, Janne</creatorcontrib><creatorcontrib>Valisuo, Petri</creatorcontrib><creatorcontrib>Shamsuzzoha, Ahm</creatorcontrib><creatorcontrib>Mantere, Timo</creatorcontrib><creatorcontrib>Elmusrati, Mohammed</creatorcontrib><creatorcontrib>Kuusniemi, Heidi</creatorcontrib><title>Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review</title><title>IEEE access</title><addtitle>Access</addtitle><description>Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based indoor localisation systems. In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications. However, UWB localisation technology faces several challenges that are somewhat similar to other technologies, such as mitigating errors that originate from non-line-of-sight (NLOS) situations and tackling signal interference in dense environments, and when required to operate in extreme conditions. This paper reviews the most recent advances made in UWB positioning systems over the last five years, with a focus on high-ranking articles. In addition to going through more conventional solutions to UWB challenges, modern solutions, which involve the use of machine learning and sensor data fusion, are discussed. We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. Additionally, we address a major challenge that faces the UWB positioning technology: NLOS situations, focusing on some proposed remedies such as multi-sensor fusion and machine learning. As an application, this study introduces how UWB technology promotes smart logistics by offering indoor positioning to improve efficiencies in the delivery of goods from the source to the customer. Furthermore, it demonstrates the benefits of UWB technology for accurate positioning and tracking of both stationary and moving items, and machinery in an indoor logistics environment.</description><subject>Data integration</subject><subject>Indoor environments</subject><subject>Indoor navigation</subject><subject>indoor positioning systems (IPS)</subject><subject>IP networks</subject><subject>Localization</subject><subject>Logistics</subject><subject>Machine learning</subject><subject>Multisensor fusion</subject><subject>Navigation</subject><subject>navigation and localisation</subject><subject>New technology</subject><subject>Optimization</subject><subject>Real-time systems</subject><subject>Sensor fusion</subject><subject>smart logistics</subject><subject>Ultra wideband technology</subject><subject>Ultra-wideband (UWB)</subject><subject>Ultrawideband</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUV1rGzEQPEoLDUl-QV4EfT5X3zr1zTVpajBpqGP6KHTS6iLXPaXSJSH_vnIuhAoWDbs7s7tM01wQvCAE68_L1epyu11QTOmCEampVO-aE1pRywST7__DH5vzUva4vq6mhDppft9kcLHENKKbVOJUQRwHFFJG2z82T2iThlim6AralWNld5iybX9FD70dPboFdzemQxqe26-2gEfr0adKvraPcbBHuS9oiX7CY4Sns-ZDsIcC56__abP7dnm7-t5uflytV8tN6zjuptYTqRyXndVcYOA94cJrFyB48NQ75yhmHgfsvPeB0F67XkoLoVNYAgmCnTbrWdcnuzf3OdZDnk2y0bwkUh5MvSy6AxiJg1S90p1WlGtme0sF1RqUkNxyRavWp1nrPqe_D1Ams08PeazrGyqFZrwGq11s7nI5lZIhvE0l2BxNMrNJ5miSeTWpsi5mVgSAN4ZWklCh2D_8_Y5X</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Elsanhoury, Mahmoud</creator><creator>Makela, Petteri</creator><creator>Koljonen, Janne</creator><creator>Valisuo, Petri</creator><creator>Shamsuzzoha, Ahm</creator><creator>Mantere, Timo</creator><creator>Elmusrati, Mohammed</creator><creator>Kuusniemi, Heidi</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-9195-4613</orcidid><orcidid>https://orcid.org/0000-0001-9394-1114</orcidid><orcidid>https://orcid.org/0000-0002-7551-9531</orcidid><orcidid>https://orcid.org/0000-0001-5834-4437</orcidid></search><sort><creationdate>2022</creationdate><title>Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review</title><author>Elsanhoury, Mahmoud ; Makela, Petteri ; Koljonen, Janne ; Valisuo, Petri ; Shamsuzzoha, Ahm ; Mantere, Timo ; Elmusrati, Mohammed ; Kuusniemi, Heidi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-d167c468a9450e4b145d9cfefded2dccc203d0f0cdddf12b9cb66aef8706e1f53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Data integration</topic><topic>Indoor environments</topic><topic>Indoor navigation</topic><topic>indoor positioning systems (IPS)</topic><topic>IP networks</topic><topic>Localization</topic><topic>Logistics</topic><topic>Machine learning</topic><topic>Multisensor fusion</topic><topic>Navigation</topic><topic>navigation and localisation</topic><topic>New technology</topic><topic>Optimization</topic><topic>Real-time systems</topic><topic>Sensor fusion</topic><topic>smart logistics</topic><topic>Ultra wideband technology</topic><topic>Ultra-wideband (UWB)</topic><topic>Ultrawideband</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Elsanhoury, Mahmoud</creatorcontrib><creatorcontrib>Makela, Petteri</creatorcontrib><creatorcontrib>Koljonen, Janne</creatorcontrib><creatorcontrib>Valisuo, Petri</creatorcontrib><creatorcontrib>Shamsuzzoha, Ahm</creatorcontrib><creatorcontrib>Mantere, Timo</creatorcontrib><creatorcontrib>Elmusrati, Mohammed</creatorcontrib><creatorcontrib>Kuusniemi, Heidi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Elsanhoury, Mahmoud</au><au>Makela, Petteri</au><au>Koljonen, Janne</au><au>Valisuo, Petri</au><au>Shamsuzzoha, Ahm</au><au>Mantere, Timo</au><au>Elmusrati, Mohammed</au><au>Kuusniemi, Heidi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2022</date><risdate>2022</risdate><volume>10</volume><spage>44413</spage><epage>44445</epage><pages>44413-44445</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Logistics is an important driver for the competitiveness of industries and material supply. The development of smart logistics, powered by precise positioning and communication technologies can significantly improve the efficiency of logistics. The emerging technology of ultra-wideband (UWB) precision positioning has attracted significant attention throughout the previous decade owing to its promising capabilities over other radio frequency-based indoor localisation systems. In addition, UWB is characterised by large bandwidth and data rate, short message length, low transmission power and high penetration capability, which are all favourable for indoor positioning applications. However, UWB localisation technology faces several challenges that are somewhat similar to other technologies, such as mitigating errors that originate from non-line-of-sight (NLOS) situations and tackling signal interference in dense environments, and when required to operate in extreme conditions. This paper reviews the most recent advances made in UWB positioning systems over the last five years, with a focus on high-ranking articles. In addition to going through more conventional solutions to UWB challenges, modern solutions, which involve the use of machine learning and sensor data fusion, are discussed. We highlight the most promising findings of the recently implemented and foreseen UWB positioning systems by providing a summary of each reviewed article. Additionally, we address a major challenge that faces the UWB positioning technology: NLOS situations, focusing on some proposed remedies such as multi-sensor fusion and machine learning. As an application, this study introduces how UWB technology promotes smart logistics by offering indoor positioning to improve efficiencies in the delivery of goods from the source to the customer. Furthermore, it demonstrates the benefits of UWB technology for accurate positioning and tracking of both stationary and moving items, and machinery in an indoor logistics environment.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2022.3169267</doi><tpages>33</tpages><orcidid>https://orcid.org/0000-0002-9195-4613</orcidid><orcidid>https://orcid.org/0000-0001-9394-1114</orcidid><orcidid>https://orcid.org/0000-0002-7551-9531</orcidid><orcidid>https://orcid.org/0000-0001-5834-4437</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2169-3536 |
ispartof | IEEE access, 2022, Vol.10, p.44413-44445 |
issn | 2169-3536 2169-3536 |
language | eng |
recordid | cdi_proquest_journals_2659345933 |
source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Data integration Indoor environments Indoor navigation indoor positioning systems (IPS) IP networks Localization Logistics Machine learning Multisensor fusion Navigation navigation and localisation New technology Optimization Real-time systems Sensor fusion smart logistics Ultra wideband technology Ultra-wideband (UWB) Ultrawideband |
title | Precision Positioning for Smart Logistics Using Ultra-Wideband Technology-Based Indoor Navigation: A Review |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T13%3A17%3A14IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Precision%20Positioning%20for%20Smart%20Logistics%20Using%20Ultra-Wideband%20Technology-Based%20Indoor%20Navigation:%20A%20Review&rft.jtitle=IEEE%20access&rft.au=Elsanhoury,%20Mahmoud&rft.date=2022&rft.volume=10&rft.spage=44413&rft.epage=44445&rft.pages=44413-44445&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2022.3169267&rft_dat=%3Cproquest_doaj_%3E2659345933%3C/proquest_doaj_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2659345933&rft_id=info:pmid/&rft_ieee_id=9761257&rft_doaj_id=oai_doaj_org_article_60f67b798972493aba25299e7564a472&rfr_iscdi=true |