A Self-Adaptive AP Selection Algorithm Based on Multiobjective Optimization for Indoor WiFi Positioning

With the widely deployed wireless access points (APs) and the worldwide popularization of smartphones, WiFi-based indoor positioning has attracted great attention to both industry and academia. Locating and tracking objects within an indoor environment plays an important role in Internet of Things a...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	IEEE internet of things journal Ročník 8; číslo 3; s. 1406 - 1416
Hlavní autori:	Zhang, Wei, Yu, Kegen, Wang, Weixi, Li, Xiaoming
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.02.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Access point (AP) selection Accuracy Adaptive algorithms Algorithms Calibration Fingerprint recognition Fixtures Indoor environments indoor WiFi positioning Internet of Things Internet of Things (IoT) IP networks Machine learning multiobjective optimization Multiple objective analysis Normalizing Optimization self-adaptive algorithm Signal quality Signal strength Wireless access points Wireless communication systems Wireless fidelity
ISSN:	2327-4662, 2327-4662
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	With the widely deployed wireless access points (APs) and the worldwide popularization of smartphones, WiFi-based indoor positioning has attracted great attention to both industry and academia. Locating and tracking objects within an indoor environment plays an important role in Internet of Things application and service. However, it is a challenging problem to achieve high accuracy using WiFi positioning technique due to the high instability in received signal strength from AP. Thus, it is desirable to select APs by considering both signal strength and connection quality. In this article, an AP selection algorithm based on multiobjective optimization is proposed to improve indoor WiFi positioning accuracy. The self-adaptive AP selection algorithm can be easily applied to various real scenarios and the performance of the new method is considerably better than classical algorithms. Learning algorithm is exploited to obtain the optimal solution for the self-adaptive AP selection algorithm. Experiments are conducted and the proposed algorithm is compared with classical algorithms. The experimental results demonstrate that the performance of the self-adaptive AP selection algorithm is at least a few decimeters better than classical algorithms in terms of RMSE of position estimation. Meanwhile, the new method is robust to the random generation of initial particles and normalizing factor as their effect on the positional accuracy is less than 1 decimeter.
AbstractList	With the widely deployed wireless access points (APs) and the worldwide popularization of smartphones, WiFi-based indoor positioning has attracted great attention to both industry and academia. Locating and tracking objects within an indoor environment plays an important role in Internet of Things application and service. However, it is a challenging problem to achieve high accuracy using WiFi positioning technique due to the high instability in received signal strength from AP. Thus, it is desirable to select APs by considering both signal strength and connection quality. In this article, an AP selection algorithm based on multiobjective optimization is proposed to improve indoor WiFi positioning accuracy. The self-adaptive AP selection algorithm can be easily applied to various real scenarios and the performance of the new method is considerably better than classical algorithms. Learning algorithm is exploited to obtain the optimal solution for the self-adaptive AP selection algorithm. Experiments are conducted and the proposed algorithm is compared with classical algorithms. The experimental results demonstrate that the performance of the self-adaptive AP selection algorithm is at least a few decimeters better than classical algorithms in terms of RMSE of position estimation. Meanwhile, the new method is robust to the random generation of initial particles and normalizing factor as their effect on the positional accuracy is less than 1 decimeter.
Author	Wang, Weixi Zhang, Wei Yu, Kegen Li, Xiaoming
Author_xml	– sequence: 1 givenname: Wei orcidid: 0000-0002-9776-1214 surname: Zhang fullname: Zhang, Wei email: weizhsz@szu.edu.cn organization: Research Institute for Smart Cities, Shenzhen University, Shenzhen, China – sequence: 2 givenname: Kegen orcidid: 0000-0001-7710-3073 surname: Yu fullname: Yu, Kegen email: kegen.yu@cumt.edu.cn organization: School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China – sequence: 3 givenname: Weixi orcidid: 0000-0002-9941-7556 surname: Wang fullname: Wang, Weixi email: wangwx@szu.edu.cn organization: School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China – sequence: 4 givenname: Xiaoming surname: Li fullname: Li, Xiaoming email: lixming@szu.edu.cn organization: School of Architecture and Urban Planning, Shenzhen University, Shenzhen, China
BookMark	eNp9kE1LAzEQhoNUsNb-APGy4HlrPnazzXEtViuVFqx4DGl2UlO2m5rdCvrrzbZFxIOnGWaeZ0Lec9SpXAUIXRI8IASLm8fJbDGgmOIBw4QkmJ6gLmU0ixPOaedXf4b6db3GOFA4JYJ30SqPnqE0cV6obWM_IMrn7QB0Y10V5eXKedu8baJbVUMRhdHTrgyr5bolAj4L1sZ-qT1unI8mVeFCebVjG81dbduFrVYX6NSosob-sfbQy_huMXqIp7P7ySifxpoK1sQ64waE4BoAA1HC8IynwNUQNDNDIZQxS5JkYAQFzQ1hDFSiRVGkzKQAjPXQ9eHu1rv3HdSNXLudr8KTkiZDPOQ8pTxQ2YHS3tW1ByO1bfZ_aLyypSRYtsHKNljZBiuPwQaT_DG33m6U__zXuTo4FgB-eEESniacfQNhUobJ
CODEN	IITJAU
CitedBy_id	crossref_primary_10_1109_ACCESS_2024_3406550 crossref_primary_10_3390_s24144586 crossref_primary_10_1109_TVT_2024_3425466 crossref_primary_10_1155_2022_9631930 crossref_primary_10_1016_j_phycom_2025_102721 crossref_primary_10_3390_s23010153 crossref_primary_10_1109_JSEN_2025_3525624 crossref_primary_10_1016_j_adhoc_2023_103131 crossref_primary_10_1109_ACCESS_2024_3501304 crossref_primary_10_1007_s44443_025_00132_0 crossref_primary_10_3390_s22228840 crossref_primary_10_3390_rs13112137 crossref_primary_10_1088_1742_6596_1972_1_012022 crossref_primary_10_1186_s43067_023_00075_4 crossref_primary_10_3390_ijgi11020081 crossref_primary_10_1088_1361_6501_adb200 crossref_primary_10_1109_TVT_2022_3210945 crossref_primary_10_1016_j_optcom_2022_129245 crossref_primary_10_1109_JLT_2023_3265171 crossref_primary_10_3390_ijgi12040169 crossref_primary_10_1109_ACCESS_2023_3325352 crossref_primary_10_3390_s25030671 crossref_primary_10_32604_cmes_2023_031534 crossref_primary_10_1007_s11227_021_03788_3 crossref_primary_10_1109_TWC_2023_3275537 crossref_primary_10_1088_1361_6501_ad5de6 crossref_primary_10_1049_cmu2_12386 crossref_primary_10_1109_JSAC_2024_3413977 crossref_primary_10_1109_JIOT_2022_3219454 crossref_primary_10_1109_JIOT_2023_3331705 crossref_primary_10_1109_TCSS_2022_3152172 crossref_primary_10_1016_j_asoc_2024_112032 crossref_primary_10_1016_j_buildenv_2022_109153 crossref_primary_10_1088_1361_6501_ad71eb crossref_primary_10_1109_JIOT_2024_3517873 crossref_primary_10_3390_rs14174323 crossref_primary_10_1109_JSEN_2022_3211743 crossref_primary_10_1109_JIOT_2024_3494692 crossref_primary_10_3390_electronics10070856 crossref_primary_10_1109_TCOMM_2022_3145408 crossref_primary_10_1109_TVT_2024_3437640 crossref_primary_10_1109_JPHOT_2022_3219886 crossref_primary_10_1109_TIM_2023_3235426 crossref_primary_10_3390_s22207920 crossref_primary_10_1109_ACCESS_2023_3263583
Cites_doi	10.1109/TIM.2015.2427892 10.1016/j.pmcj.2016.02.003 10.1166/jctn.2019.8064 10.1007/s12553-016-0161-3 10.1108/EL-08-2014-0148 10.1109/JIOT.2015.2495229 10.3390/s150921824 10.3923/itj.2013.3773.3776 10.1109/CC.2013.6488829 10.1109/MIC.2017.2911420 10.3390/electronics8050559 10.1109/JIOT.2018.2864607 10.1109/TKDE.2006.112 10.1016/j.engappai.2010.05.003 10.1109/ACCESS.2016.2579879 10.1007/s11276-017-1507-0 10.1109/ACCESS.2018.2843325 10.1016/j.proeng.2010.09.087 10.1166/asl.2016.7836 10.1109/COMST.2017.2671454 10.1109/JSEN.2018.2873052 10.1109/MCOM.2017.1700269 10.1007/s11036-016-0749-x 10.1155/2015/573582 10.1109/MPRV.2009.30 10.1109/ICNN.1995.488968 10.1109/TWC.2017.2757472 10.1109/JSEN.2017.2660522 10.3390/s17122917 10.1155/2016/8765874 10.1155/2016/2083094 10.1109/JSEE.2015.00131 10.1016/j.ijdrr.2017.09.032 10.3901/CJME.2014.0527.302 10.1186/s12942-016-0034-z 10.1002/ett.2864 10.3390/s16050737 10.1109/JIOT.2016.2591766 10.1109/ACCESS.2019.2935225 10.1016/j.apm.2010.08.008 10.1109/TWC.2015.2487963 10.3390/ijgi6070214 10.1007/978-981-10-8791-2 10.1108/SR-06-2017-0109 10.1109/MCOM.2015.7060497 10.1109/CoASE.2015.7294059 10.1016/j.physa.2011.12.004 10.1109/SURV.2009.090103 10.3390/s16122074
ContentType	Journal Article
Copyright	Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
Copyright_xml	– notice: Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2021
DBID	97E RIA RIE AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D
DOI	10.1109/JIOT.2020.3011402
DatabaseName	IEEE All-Society Periodicals Package (ASPP) 2005-present IEEE All-Society Periodicals Package (ASPP) 1998-Present IEEE Electronic Library (IEL) CrossRef Computer and Information Systems Abstracts Technology Research Database ProQuest Computer Science Collection Advanced Technologies Database with Aerospace Computer and Information Systems Abstracts Academic Computer and Information Systems Abstracts Professional
DatabaseTitle	CrossRef Computer and Information Systems Abstracts Technology Research Database Computer and Information Systems Abstracts – Academic Advanced Technologies Database with Aerospace ProQuest Computer Science Collection Computer and Information Systems Abstracts Professional
DatabaseTitleList	Computer and Information Systems Abstracts
Database_xml	– sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://ieeexplore.ieee.org/ sourceTypes: Publisher
DeliveryMethod	fulltext_linktorsrc
Discipline	Computer Science
EISSN	2327-4662
EndPage	1416
ExternalDocumentID	10_1109_JIOT_2020_3011402 9146546
Genre	orig-research
GrantInformation_xml	– fundername: China National Nature Science Foundation of China grantid: 61402047; 61511130081; 61273217 funderid: 10.13039/501100001809 – fundername: Natural Science Foundation of Guangdong Province grantid: 2019A1515010748; 2019A1515011872 funderid: 10.13039/501100003453 – fundername: National Key Research and Development Program of China grantid: 2016YFB0502102 – fundername: China 973 Program grantid: 2013CB228305 funderid: 10.13039/501100012166 – fundername: National Nature Science Foundation of China grantid: 41971341; 41971354 funderid: 10.13039/501100001809 – fundername: Natural Science Foundation of Shandong Province grantid: ZR2014EEM025 funderid: 10.13039/501100007129
GroupedDBID	0R~ 6IK 97E AAJGR AARMG AASAJ AAWTH ABAZT ABJNI ABQJQ ABVLG AGQYO AHBIQ AKJIK AKQYR ALMA_UNASSIGNED_HOLDINGS ATWAV BEFXN BFFAM BGNUA BKEBE BPEOZ EBS IFIPE IPLJI JAVBF M43 OCL PQQKQ RIA RIE AAYXX CITATION 7SC 8FD JQ2 L7M L~C L~D
ID	FETCH-LOGICAL-c293t-c76fe996cee0e1a9f6765e6a8ec3f899affb147ef92ec6f133ea4c9dd53f5ee33
IEDL.DBID	RIE
ISICitedReferencesCount	56
ISICitedReferencesURI	http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000612146000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
ISSN	2327-4662
IngestDate	Sun Jun 29 15:59:24 EDT 2025 Sat Nov 29 06:16:52 EST 2025 Tue Nov 18 22:15:16 EST 2025 Wed Aug 27 06:00:11 EDT 2025
IsPeerReviewed	false
IsScholarly	true
Issue	3
Language	English
License	https://ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-037
LinkModel	DirectLink
MergedId	FETCHMERGED-LOGICAL-c293t-c76fe996cee0e1a9f6765e6a8ec3f899affb147ef92ec6f133ea4c9dd53f5ee33
Notes	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14
ORCID	0000-0001-7710-3073 0000-0002-9776-1214 0000-0002-9941-7556
PQID	2480866526
PQPubID	2040421
PageCount	11
ParticipantIDs	proquest_journals_2480866526 crossref_citationtrail_10_1109_JIOT_2020_3011402 ieee_primary_9146546 crossref_primary_10_1109_JIOT_2020_3011402
PublicationCentury	2000
PublicationDate	2021-02-01
PublicationDateYYYYMMDD	2021-02-01
PublicationDate_xml	– month: 02 year: 2021 text: 2021-02-01 day: 01
PublicationDecade	2020
PublicationPlace	Piscataway
PublicationPlace_xml	– name: Piscataway
PublicationTitle	IEEE internet of things journal
PublicationTitleAbbrev	JIoT
PublicationYear	2021
Publisher	IEEE The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher_xml	– name: IEEE – name: The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
References	ref13 ref12 ref15 ref14 ref53 ref52 ref54 ref10 ref17 ref16 ref19 darrell (ref45) 1994; 4 ref18 ref51 angeles (ref40) 2017; 2 harish (ref44) 2016; 274 elina (ref35) 2016; 16 malar (ref11) 2017; 22 ref48 ref47 ref42 ref41 ref43 ref49 ref8 jure (ref32) 2016; 16 ref9 ref4 ref3 ref6 ref5 ref34 ref37 ref36 ref31 hamidreza (ref50) 2010; 23 ref30 ref33 ref2 ref1 ref39 ref38 shim (ref7) 2015; 9 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29 adam (ref46) 2012; 391
References_xml	– ident: ref22 doi: 10.1109/TIM.2015.2427892 – ident: ref26 doi: 10.1016/j.pmcj.2016.02.003 – ident: ref4 doi: 10.1166/jctn.2019.8064 – ident: ref3 doi: 10.1007/s12553-016-0161-3 – ident: ref6 doi: 10.1108/EL-08-2014-0148 – ident: ref33 doi: 10.1109/JIOT.2015.2495229 – ident: ref27 doi: 10.3390/s150921824 – ident: ref37 doi: 10.3923/itj.2013.3773.3776 – ident: ref15 doi: 10.1109/CC.2013.6488829 – ident: ref5 doi: 10.1109/MIC.2017.2911420 – ident: ref39 doi: 10.3390/electronics8050559 – ident: ref54 doi: 10.1109/JIOT.2018.2864607 – ident: ref42 doi: 10.1109/TKDE.2006.112 – volume: 23 start-page: 1105 year: 2010 ident: ref50 article-title: Parameter estimation of bilinear systems based on an adaptive particle swarm optimization publication-title: Eng Appl Artif Intell doi: 10.1016/j.engappai.2010.05.003 – ident: ref16 doi: 10.1109/ACCESS.2016.2579879 – ident: ref53 doi: 10.1007/s11276-017-1507-0 – ident: ref12 doi: 10.1109/ACCESS.2018.2843325 – ident: ref1 doi: 10.1016/j.proeng.2010.09.087 – volume: 22 start-page: 11805 year: 2017 ident: ref11 article-title: Markovian model based indoor location tracking for Internet of Things (IoT) applications publication-title: Clust Comput – ident: ref31 doi: 10.1166/asl.2016.7836 – ident: ref38 doi: 10.1109/COMST.2017.2671454 – ident: ref29 doi: 10.1109/JSEN.2018.2873052 – ident: ref13 doi: 10.1109/MCOM.2017.1700269 – ident: ref30 doi: 10.1007/s11036-016-0749-x – ident: ref28 doi: 10.1155/2015/573582 – ident: ref23 doi: 10.1109/MPRV.2009.30 – ident: ref47 doi: 10.1109/ICNN.1995.488968 – ident: ref17 doi: 10.1109/TWC.2017.2757472 – ident: ref19 doi: 10.1109/JSEN.2017.2660522 – ident: ref10 doi: 10.3390/s17122917 – volume: 274 start-page: 292 year: 2016 ident: ref44 article-title: A hybrid PSO-GA algorithm for constrained optimization problems publication-title: Appl Math Comput – ident: ref52 doi: 10.1155/2016/8765874 – ident: ref21 doi: 10.1155/2016/2083094 – volume: 4 start-page: 65 year: 1994 ident: ref45 article-title: A genetic algorithm tutorial publication-title: Stat Comput – ident: ref36 doi: 10.1109/JSEE.2015.00131 – ident: ref9 doi: 10.1016/j.ijdrr.2017.09.032 – ident: ref48 doi: 10.3901/CJME.2014.0527.302 – ident: ref2 doi: 10.1186/s12942-016-0034-z – ident: ref20 doi: 10.1002/ett.2864 – volume: 16 start-page: 737 year: 2016 ident: ref35 article-title: On the choice of access point selection criterion and other position estimation characteristics for WLAN-based indoor positioning publication-title: SENSORS doi: 10.3390/s16050737 – ident: ref14 doi: 10.1109/JIOT.2016.2591766 – ident: ref25 doi: 10.1109/ACCESS.2019.2935225 – ident: ref49 doi: 10.1016/j.apm.2010.08.008 – ident: ref34 doi: 10.1109/TWC.2015.2487963 – volume: 2 start-page: 40 year: 2017 ident: ref40 article-title: Self-adaptive WLAN access point for optimizing network performance using multi-objective genetic algorithm (MOGA) publication-title: J Comput Innov Eng Appl – ident: ref8 doi: 10.3390/ijgi6070214 – volume: 9 start-page: 195 year: 2015 ident: ref7 article-title: Development of an indoor-outdoor positioning Android app for Anapji tourist guides publication-title: Int J Softw Eng Appl – ident: ref43 doi: 10.1007/978-981-10-8791-2 – ident: ref51 doi: 10.1108/SR-06-2017-0109 – ident: ref18 doi: 10.1109/MCOM.2015.7060497 – ident: ref41 doi: 10.1109/CoASE.2015.7294059 – volume: 391 start-page: 2193 year: 2012 ident: ref46 article-title: Roulette-wheel selection via stochastic acceptance publication-title: Physica a Stat Mech Appl doi: 10.1016/j.physa.2011.12.004 – ident: ref24 doi: 10.1109/SURV.2009.090103 – volume: 16 start-page: 2074 year: 2016 ident: ref32 article-title: A self-adaptive model-based Wi-Fi indoor localization method publication-title: SENSORS doi: 10.3390/s16122074
SSID	ssj0001105196
Score	2.4327521
Snippet	With the widely deployed wireless access points (APs) and the worldwide popularization of smartphones, WiFi-based indoor positioning has attracted great...
SourceID	proquest crossref ieee
SourceType	Aggregation Database Enrichment Source Index Database Publisher
StartPage	1406
SubjectTerms	Access point (AP) selection Accuracy Adaptive algorithms Algorithms Calibration Fingerprint recognition Fixtures Indoor environments indoor WiFi positioning Internet of Things Internet of Things (IoT) IP networks Machine learning multiobjective optimization Multiple objective analysis Normalizing Optimization self-adaptive algorithm Signal quality Signal strength Wireless access points Wireless communication systems Wireless fidelity
Title	A Self-Adaptive AP Selection Algorithm Based on Multiobjective Optimization for Indoor WiFi Positioning
URI	https://ieeexplore.ieee.org/document/9146546 https://www.proquest.com/docview/2480866526
Volume	8
WOSCitedRecordID	wos000612146000012&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D
hasFullText	1
inHoldings	1
isFullTextHit
isPrint
journalDatabaseRights	– providerCode: PRVIEE databaseName: IEEE Electronic Library (IEL) customDbUrl: eissn: 2327-4662 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0001105196 issn: 2327-4662 databaseCode: RIE dateStart: 20140101 isFulltext: true titleUrlDefault: https://ieeexplore.ieee.org/ providerName: IEEE
link	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV1JS8QwFH6oePDiLo4bOXgSq23TJpNjFQcV0QEVvZU0edGRsZVx9PebpJnxoAieWkIelH7J2xeAfS5zmiecRsZUaZTlUkQVJhhJk4pYYk5128T1il9fdx8fRX8GDqe1MIjok8_wyL36WL5u1IdzlR2LxHX_YrMwyzlva7W-_SmJU0ZYCFwmsTi-vLi5swZgau1Sp_UHx8lE9PhZKj8YsJcqvaX_fc8yLAbtkRQt3Cswg_UqLE0mM5BwUdfgqSC3ODRRoeWb42ek6LsFn3ZVk2L41IwG4-dXcmJlmCZ2ydfhNtVLy_7IjaV6DRWaxKq15KLWjX08DHoD0g95XlborcN97-zu9DwKIxUiZeX6OFKcGbQmjhWNMSZSGMZZjkx2UVFjTS9pIUsyjkakqJixBizKTAmtc2pyREo3YK5uatwEEnOV5ZXOtOyKzOpFlQWdqVhQSV10EjsQT_52qUK_cTf2Ylh6uyMWpQOodACVAaAOHExJ3tpmG39tXnOITDcGMDqwM4G0DNfxvUyzbuwa-6Vs63eqbVhIXbKKT8fegbnx6AN3YV59jgfvoz1_0r4Afa3TGQ
linkProvider	IEEE
linkToHtml	http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwlV3NT9swFH9iMGm7DAZD6wbMB05oGUn8kfqYTavoVkqldRq3yLGfoagkqJT9_bMdtztsQuKUyPKTovzs9_0BcFwoTnlW0MTaOk8YVzKpMcNE2VymCjk1XRPXUTEe9y8v5WQDPq5rYRAxJJ_hJ_8aYvmm1Q_eVXYqM9_9SzyDLc5YnnXVWn89KplXR0QMXWapPP02vJg6EzB3lqnX-6PrZCV8wjSVf1hwkCuD7ad90Q68ivojKTvAX8MGNruwvZrNQOJV3YOrkvzAuU1Ko-48RyPlxC-ExKuGlPOrdjFbXt-Sz06KGeKWQiVuW990DJBcOKrbWKNJnGJLho1p3ePXbDAjk5jp5cTeG_g5-Dr9cpbEoQqJdpJ9mehCWHRGjhOOKWZKWlEIjkL1UVPrjC_lQMtYgVbmqIV1JiwqpqUxnFqOSOk-bDZtg2-BpIVmvDbMqL5kTjOqHexCp5Iq6uOT2IN09bcrHTuO-8EX8ypYHqmsPECVB6iKAPXgZE1y17XbeGzznkdkvTGC0YODFaRVvJD3Vc76qW_tl4t3_6f6AC_OpuejajQcf38PL3OfuhKSsw9gc7l4wEN4rn8vZ_eLo3Dq_gCe2NZg
openUrl	ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+Self-Adaptive+AP+Selection+Algorithm+Based+on+Multiobjective+Optimization+for+Indoor+WiFi+Positioning&rft.jtitle=IEEE+internet+of+things+journal&rft.au=Zhang%2C+Wei&rft.au=Yu%2C+Kegen&rft.au=Wang%2C+Weixi&rft.au=Li%2C+Xiaoming&rft.date=2021-02-01&rft.pub=IEEE&rft.eissn=2327-4662&rft.volume=8&rft.issue=3&rft.spage=1406&rft.epage=1416&rft_id=info:doi/10.1109%2FJIOT.2020.3011402&rft.externalDocID=9146546
thumbnail_l	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2327-4662&client=summon
thumbnail_m	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2327-4662&client=summon
thumbnail_s	http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2327-4662&client=summon