Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory

Based on evolutionary game theory, this paper proposes a new information acquisition mechanism for intelligent mine construction, which solves the problem of incomplete information acquisition in the construction of new intelligent mining area and reduces the difficulty of information acquisition, w...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Wireless communications and mobile computing 2021, Vol.2021 (1)
Hauptverfasser: Dong, Lihong, Wang, Xirong, Liu, Beizhan, Zheng, Tianwei, Wang, Zheng
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page
container_title Wireless communications and mobile computing
container_volume 2021
creator Dong, Lihong
Wang, Xirong
Liu, Beizhan
Zheng, Tianwei
Wang, Zheng
description Based on evolutionary game theory, this paper proposes a new information acquisition mechanism for intelligent mine construction, which solves the problem of incomplete information acquisition in the construction of new intelligent mining area and reduces the difficulty of information acquisition, which solves the problem of the imperfect mine information acquisition in the construction of a new smart mine regions and decreases the difficulty of a mine information acquisition. Based on the evolutionary game model, the perceptual incentive model based on group is established. The reliability of information collection is ensured by sharing and modifying the information collector. Through the analysis of the simulation results, it is found that the regional coverage model based on the cooperation in game theory and evolutionary game theory has a good effect on solving the bottleneck problem of the current intelligent mining area. This paper has an enlightening effect on the optimization of the mine information acquisition system. Through the improvement of the mine information acquisition system, the working efficiency of the information acquisition terminal can be effectively increased by 6%.
doi_str_mv 10.1155/2021/5525791
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2565925166</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2565925166</sourcerecordid><originalsourceid>FETCH-LOGICAL-c337t-20a513bf3f0ecc919b543fe3c729d65d2a6b9451c9fa466bbf9ba4172353a3eb3</originalsourceid><addsrcrecordid>eNp90E1PAjEQBuDGaCKiN3_AJh51pR87XXtEg0gC8YLnpu22oYTtQruL4d-7CPHoaSaZJzOTF6F7gp8JARhRTMkIgEIpyAUaEGA4f-FlefnXc3GNblJaY4xZjwdoMQuuibVqfROysdl1PvnffhaMDa3f22xhzUoFn-rsVSVbZf1wsm823ZGpeMimqrbZcmWbeLhFV05tkr071yH6ep8s3z7y-ed09jae54axss0pVkCYdsxha4wgQkPBnGWmpKLiUFHFtSiAGOFUwbnWTmhVkJIyYIpZzYbo4bR3G5tdZ1Mr100XQ39SUuAgKBDOe_V0UiY2KUXr5Db6un9ZEiyPgcljYPIcWM8fT3zlQ6W-_f_6B8ZOamk</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2565925166</pqid></control><display><type>article</type><title>Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory</title><source>Wiley Online Library Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Alma/SFX Local Collection</source><creator>Dong, Lihong ; Wang, Xirong ; Liu, Beizhan ; Zheng, Tianwei ; Wang, Zheng</creator><contributor>Zhang, Yin ; Yin Zhang</contributor><creatorcontrib>Dong, Lihong ; Wang, Xirong ; Liu, Beizhan ; Zheng, Tianwei ; Wang, Zheng ; Zhang, Yin ; Yin Zhang</creatorcontrib><description>Based on evolutionary game theory, this paper proposes a new information acquisition mechanism for intelligent mine construction, which solves the problem of incomplete information acquisition in the construction of new intelligent mining area and reduces the difficulty of information acquisition, which solves the problem of the imperfect mine information acquisition in the construction of a new smart mine regions and decreases the difficulty of a mine information acquisition. Based on the evolutionary game model, the perceptual incentive model based on group is established. The reliability of information collection is ensured by sharing and modifying the information collector. Through the analysis of the simulation results, it is found that the regional coverage model based on the cooperation in game theory and evolutionary game theory has a good effect on solving the bottleneck problem of the current intelligent mining area. This paper has an enlightening effect on the optimization of the mine information acquisition system. Through the improvement of the mine information acquisition system, the working efficiency of the information acquisition terminal can be effectively increased by 6%.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2021/5525791</identifier><language>eng</language><publisher>Oxford: Hindawi</publisher><subject>Communication ; Crowdsourcing ; Data processing ; Equilibrium ; Evolution ; Game theory ; Incentives ; Internet of Things ; Lagrange multiplier ; Mining ; Monetary incentives ; Ontology ; Optimization ; Publishing ; Semantics ; Sensors</subject><ispartof>Wireless communications and mobile computing, 2021, Vol.2021 (1)</ispartof><rights>Copyright © 2021 Lihong Dong et al.</rights><rights>Copyright © 2021 Lihong Dong et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-20a513bf3f0ecc919b543fe3c729d65d2a6b9451c9fa466bbf9ba4172353a3eb3</citedby><cites>FETCH-LOGICAL-c337t-20a513bf3f0ecc919b543fe3c729d65d2a6b9451c9fa466bbf9ba4172353a3eb3</cites><orcidid>0000-0002-4753-3619 ; 0000-0001-7043-5657 ; 0000-0001-6253-9237</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,4021,27921,27922,27923</link.rule.ids></links><search><contributor>Zhang, Yin</contributor><contributor>Yin Zhang</contributor><creatorcontrib>Dong, Lihong</creatorcontrib><creatorcontrib>Wang, Xirong</creatorcontrib><creatorcontrib>Liu, Beizhan</creatorcontrib><creatorcontrib>Zheng, Tianwei</creatorcontrib><creatorcontrib>Wang, Zheng</creatorcontrib><title>Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory</title><title>Wireless communications and mobile computing</title><description>Based on evolutionary game theory, this paper proposes a new information acquisition mechanism for intelligent mine construction, which solves the problem of incomplete information acquisition in the construction of new intelligent mining area and reduces the difficulty of information acquisition, which solves the problem of the imperfect mine information acquisition in the construction of a new smart mine regions and decreases the difficulty of a mine information acquisition. Based on the evolutionary game model, the perceptual incentive model based on group is established. The reliability of information collection is ensured by sharing and modifying the information collector. Through the analysis of the simulation results, it is found that the regional coverage model based on the cooperation in game theory and evolutionary game theory has a good effect on solving the bottleneck problem of the current intelligent mining area. This paper has an enlightening effect on the optimization of the mine information acquisition system. Through the improvement of the mine information acquisition system, the working efficiency of the information acquisition terminal can be effectively increased by 6%.</description><subject>Communication</subject><subject>Crowdsourcing</subject><subject>Data processing</subject><subject>Equilibrium</subject><subject>Evolution</subject><subject>Game theory</subject><subject>Incentives</subject><subject>Internet of Things</subject><subject>Lagrange multiplier</subject><subject>Mining</subject><subject>Monetary incentives</subject><subject>Ontology</subject><subject>Optimization</subject><subject>Publishing</subject><subject>Semantics</subject><subject>Sensors</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp90E1PAjEQBuDGaCKiN3_AJh51pR87XXtEg0gC8YLnpu22oYTtQruL4d-7CPHoaSaZJzOTF6F7gp8JARhRTMkIgEIpyAUaEGA4f-FlefnXc3GNblJaY4xZjwdoMQuuibVqfROysdl1PvnffhaMDa3f22xhzUoFn-rsVSVbZf1wsm823ZGpeMimqrbZcmWbeLhFV05tkr071yH6ep8s3z7y-ed09jae54axss0pVkCYdsxha4wgQkPBnGWmpKLiUFHFtSiAGOFUwbnWTmhVkJIyYIpZzYbo4bR3G5tdZ1Mr100XQ39SUuAgKBDOe_V0UiY2KUXr5Db6un9ZEiyPgcljYPIcWM8fT3zlQ6W-_f_6B8ZOamk</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Dong, Lihong</creator><creator>Wang, Xirong</creator><creator>Liu, Beizhan</creator><creator>Zheng, Tianwei</creator><creator>Wang, Zheng</creator><general>Hindawi</general><general>Hindawi Limited</general><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-4753-3619</orcidid><orcidid>https://orcid.org/0000-0001-7043-5657</orcidid><orcidid>https://orcid.org/0000-0001-6253-9237</orcidid></search><sort><creationdate>2021</creationdate><title>Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory</title><author>Dong, Lihong ; Wang, Xirong ; Liu, Beizhan ; Zheng, Tianwei ; Wang, Zheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-20a513bf3f0ecc919b543fe3c729d65d2a6b9451c9fa466bbf9ba4172353a3eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Communication</topic><topic>Crowdsourcing</topic><topic>Data processing</topic><topic>Equilibrium</topic><topic>Evolution</topic><topic>Game theory</topic><topic>Incentives</topic><topic>Internet of Things</topic><topic>Lagrange multiplier</topic><topic>Mining</topic><topic>Monetary incentives</topic><topic>Ontology</topic><topic>Optimization</topic><topic>Publishing</topic><topic>Semantics</topic><topic>Sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dong, Lihong</creatorcontrib><creatorcontrib>Wang, Xirong</creatorcontrib><creatorcontrib>Liu, Beizhan</creatorcontrib><creatorcontrib>Zheng, Tianwei</creatorcontrib><creatorcontrib>Wang, Zheng</creatorcontrib><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access Journals</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection (ProQuest)</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</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>Computing Database</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless communications and mobile computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dong, Lihong</au><au>Wang, Xirong</au><au>Liu, Beizhan</au><au>Zheng, Tianwei</au><au>Wang, Zheng</au><au>Zhang, Yin</au><au>Yin Zhang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2021</date><risdate>2021</risdate><volume>2021</volume><issue>1</issue><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>Based on evolutionary game theory, this paper proposes a new information acquisition mechanism for intelligent mine construction, which solves the problem of incomplete information acquisition in the construction of new intelligent mining area and reduces the difficulty of information acquisition, which solves the problem of the imperfect mine information acquisition in the construction of a new smart mine regions and decreases the difficulty of a mine information acquisition. Based on the evolutionary game model, the perceptual incentive model based on group is established. The reliability of information collection is ensured by sharing and modifying the information collector. Through the analysis of the simulation results, it is found that the regional coverage model based on the cooperation in game theory and evolutionary game theory has a good effect on solving the bottleneck problem of the current intelligent mining area. This paper has an enlightening effect on the optimization of the mine information acquisition system. Through the improvement of the mine information acquisition system, the working efficiency of the information acquisition terminal can be effectively increased by 6%.</abstract><cop>Oxford</cop><pub>Hindawi</pub><doi>10.1155/2021/5525791</doi><orcidid>https://orcid.org/0000-0002-4753-3619</orcidid><orcidid>https://orcid.org/0000-0001-7043-5657</orcidid><orcidid>https://orcid.org/0000-0001-6253-9237</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1530-8669
ispartof Wireless communications and mobile computing, 2021, Vol.2021 (1)
issn 1530-8669
1530-8677
language eng
recordid cdi_proquest_journals_2565925166
source Wiley Online Library Open Access; EZB-FREE-00999 freely available EZB journals; Alma/SFX Local Collection
subjects Communication
Crowdsourcing
Data processing
Equilibrium
Evolution
Game theory
Incentives
Internet of Things
Lagrange multiplier
Mining
Monetary incentives
Ontology
Optimization
Publishing
Semantics
Sensors
title Information Acquisition Incentive Mechanism Based on Evolutionary Game Theory
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-14T14%3A08%3A43IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Information%20Acquisition%20Incentive%20Mechanism%20Based%20on%20Evolutionary%20Game%20Theory&rft.jtitle=Wireless%20communications%20and%20mobile%20computing&rft.au=Dong,%20Lihong&rft.date=2021&rft.volume=2021&rft.issue=1&rft.issn=1530-8669&rft.eissn=1530-8677&rft_id=info:doi/10.1155/2021/5525791&rft_dat=%3Cproquest_cross%3E2565925166%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2565925166&rft_id=info:pmid/&rfr_iscdi=true