Placement Optimization of UAV-Mounted Mobile Base Stations

In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distribut...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE communications letters 2017-03, Vol.21 (3), p.604-607
Hauptverfasser: Lyu, Jiangbin, Zeng, Yong, Zhang, Rui, Lim, Teng Joon
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 607
container_issue 3
container_start_page 604
container_title IEEE communications letters
container_volume 21
creator Lyu, Jiangbin
Zeng, Yong
Zhang, Rui
Lim, Teng Joon
description In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distributed ground terminals (GTs), ensuring that each GT is within the communication range of at least one MBS. We propose a polynomial-time algorithm with successive MBS placement, where the MBSs are placed sequentially starting on the area perimeter of the uncovered GTs along a spiral path toward the center, until all GTs are covered. Numerical results show that the proposed algorithm performs favorably compared with other schemes in terms of the number of required MBSs as well as time complexity.
doi_str_mv 10.1109/LCOMM.2016.2633248
format Article
fullrecord <record><control><sourceid>crossref_RIE</sourceid><recordid>TN_cdi_ieee_primary_7762053</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7762053</ieee_id><sourcerecordid>10_1109_LCOMM_2016_2633248</sourcerecordid><originalsourceid>FETCH-LOGICAL-c382t-4b884e7bfe79d0bc90043c5caf67d69d1a476e151f51d0c25b471269714c39263</originalsourceid><addsrcrecordid>eNo9j81Kw0AUhQdRsFZfQDd5gdR753_c1WJVaIigdRsmkxuIpE3JxIU-vekPbu65i_Md-Bi7RZghgrtfLfIsm3FAPeNaCC7tGZugUjbl4zkff7AuNcbZS3YV4xcAWK5wwh7eWh9oQ9shyXdDs2l-_dB026Srk_X8M8267-1AVZJ1ZdNS8ugjJe_DoRKv2UXt20g3p5yy9fLpY_GSrvLn18V8lQZh-ZDK0lpJpqzJuArK4ACkCCr4WptKuwq9NJpQYa2wgsBVKQ1y7QzKINxoM2X8uBv6Lsae6mLXNxvf_xQIxd6-ONgXe_viZD9Cd0eoIaJ_wBjNQQnxBymaVTQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Placement Optimization of UAV-Mounted Mobile Base Stations</title><source>IEEE Electronic Library (IEL)</source><creator>Lyu, Jiangbin ; Zeng, Yong ; Zhang, Rui ; Lim, Teng Joon</creator><creatorcontrib>Lyu, Jiangbin ; Zeng, Yong ; Zhang, Rui ; Lim, Teng Joon</creatorcontrib><description>In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distributed ground terminals (GTs), ensuring that each GT is within the communication range of at least one MBS. We propose a polynomial-time algorithm with successive MBS placement, where the MBSs are placed sequentially starting on the area perimeter of the uncovered GTs along a spiral path toward the center, until all GTs are covered. Numerical results show that the proposed algorithm performs favorably compared with other schemes in terms of the number of required MBSs as well as time complexity.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2016.2633248</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>IEEE</publisher><subject>Base stations ; Clustering algorithms ; geometric disk cover problem ; Heuristic algorithms ; mobile base station placement ; Mobile communication ; Partitioning algorithms ; Spirals ; Unmanned aerial vehicles ; user coverage ; Wireless communication</subject><ispartof>IEEE communications letters, 2017-03, Vol.21 (3), p.604-607</ispartof><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c382t-4b884e7bfe79d0bc90043c5caf67d69d1a476e151f51d0c25b471269714c39263</citedby><cites>FETCH-LOGICAL-c382t-4b884e7bfe79d0bc90043c5caf67d69d1a476e151f51d0c25b471269714c39263</cites><orcidid>0000-0001-5609-7647 ; 0000-0002-3670-0434</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7762053$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7762053$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lyu, Jiangbin</creatorcontrib><creatorcontrib>Zeng, Yong</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Lim, Teng Joon</creatorcontrib><title>Placement Optimization of UAV-Mounted Mobile Base Stations</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distributed ground terminals (GTs), ensuring that each GT is within the communication range of at least one MBS. We propose a polynomial-time algorithm with successive MBS placement, where the MBSs are placed sequentially starting on the area perimeter of the uncovered GTs along a spiral path toward the center, until all GTs are covered. Numerical results show that the proposed algorithm performs favorably compared with other schemes in terms of the number of required MBSs as well as time complexity.</description><subject>Base stations</subject><subject>Clustering algorithms</subject><subject>geometric disk cover problem</subject><subject>Heuristic algorithms</subject><subject>mobile base station placement</subject><subject>Mobile communication</subject><subject>Partitioning algorithms</subject><subject>Spirals</subject><subject>Unmanned aerial vehicles</subject><subject>user coverage</subject><subject>Wireless communication</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9j81Kw0AUhQdRsFZfQDd5gdR753_c1WJVaIigdRsmkxuIpE3JxIU-vekPbu65i_Md-Bi7RZghgrtfLfIsm3FAPeNaCC7tGZugUjbl4zkff7AuNcbZS3YV4xcAWK5wwh7eWh9oQ9shyXdDs2l-_dB026Srk_X8M8267-1AVZJ1ZdNS8ugjJe_DoRKv2UXt20g3p5yy9fLpY_GSrvLn18V8lQZh-ZDK0lpJpqzJuArK4ACkCCr4WptKuwq9NJpQYa2wgsBVKQ1y7QzKINxoM2X8uBv6Lsae6mLXNxvf_xQIxd6-ONgXe_viZD9Cd0eoIaJ_wBjNQQnxBymaVTQ</recordid><startdate>201703</startdate><enddate>201703</enddate><creator>Lyu, Jiangbin</creator><creator>Zeng, Yong</creator><creator>Zhang, Rui</creator><creator>Lim, Teng Joon</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><orcidid>https://orcid.org/0000-0001-5609-7647</orcidid><orcidid>https://orcid.org/0000-0002-3670-0434</orcidid></search><sort><creationdate>201703</creationdate><title>Placement Optimization of UAV-Mounted Mobile Base Stations</title><author>Lyu, Jiangbin ; Zeng, Yong ; Zhang, Rui ; Lim, Teng Joon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c382t-4b884e7bfe79d0bc90043c5caf67d69d1a476e151f51d0c25b471269714c39263</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Base stations</topic><topic>Clustering algorithms</topic><topic>geometric disk cover problem</topic><topic>Heuristic algorithms</topic><topic>mobile base station placement</topic><topic>Mobile communication</topic><topic>Partitioning algorithms</topic><topic>Spirals</topic><topic>Unmanned aerial vehicles</topic><topic>user coverage</topic><topic>Wireless communication</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lyu, Jiangbin</creatorcontrib><creatorcontrib>Zeng, Yong</creatorcontrib><creatorcontrib>Zhang, Rui</creatorcontrib><creatorcontrib>Lim, Teng Joon</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><jtitle>IEEE communications letters</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lyu, Jiangbin</au><au>Zeng, Yong</au><au>Zhang, Rui</au><au>Lim, Teng Joon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Placement Optimization of UAV-Mounted Mobile Base Stations</atitle><jtitle>IEEE communications letters</jtitle><stitle>COML</stitle><date>2017-03</date><risdate>2017</risdate><volume>21</volume><issue>3</issue><spage>604</spage><epage>607</epage><pages>604-607</pages><issn>1089-7798</issn><eissn>1558-2558</eissn><coden>ICLEF6</coden><abstract>In terrestrial communication networks without fixed infrastructure, unmanned aerial vehicle-mounted mobile base stations (MBSs) provide an efficient solution to achieve wireless connectivity. This letter aims to minimize the number of MBSs needed to provide wireless coverage for a group of distributed ground terminals (GTs), ensuring that each GT is within the communication range of at least one MBS. We propose a polynomial-time algorithm with successive MBS placement, where the MBSs are placed sequentially starting on the area perimeter of the uncovered GTs along a spiral path toward the center, until all GTs are covered. Numerical results show that the proposed algorithm performs favorably compared with other schemes in terms of the number of required MBSs as well as time complexity.</abstract><pub>IEEE</pub><doi>10.1109/LCOMM.2016.2633248</doi><tpages>4</tpages><orcidid>https://orcid.org/0000-0001-5609-7647</orcidid><orcidid>https://orcid.org/0000-0002-3670-0434</orcidid></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 1089-7798
ispartof IEEE communications letters, 2017-03, Vol.21 (3), p.604-607
issn 1089-7798
1558-2558
language eng
recordid cdi_ieee_primary_7762053
source IEEE Electronic Library (IEL)
subjects Base stations
Clustering algorithms
geometric disk cover problem
Heuristic algorithms
mobile base station placement
Mobile communication
Partitioning algorithms
Spirals
Unmanned aerial vehicles
user coverage
Wireless communication
title Placement Optimization of UAV-Mounted Mobile Base Stations
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-31T15%3A40%3A57IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Placement%20Optimization%20of%20UAV-Mounted%20Mobile%20Base%20Stations&rft.jtitle=IEEE%20communications%20letters&rft.au=Lyu,%20Jiangbin&rft.date=2017-03&rft.volume=21&rft.issue=3&rft.spage=604&rft.epage=607&rft.pages=604-607&rft.issn=1089-7798&rft.eissn=1558-2558&rft.coden=ICLEF6&rft_id=info:doi/10.1109/LCOMM.2016.2633248&rft_dat=%3Ccrossref_RIE%3E10_1109_LCOMM_2016_2633248%3C/crossref_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_ieee_id=7762053&rfr_iscdi=true