Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT
As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calc...
Gespeichert in:
| Veröffentlicht in: | Journal of physics. Conference series 2020-10, Vol.1650 (3), p.32112 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 3 |
| container_start_page | 32112 |
| container_title | Journal of physics. Conference series |
| container_volume | 1650 |
| creator | Wang, Yongchao Cai, Dongdong Nian, Yugui |
| description | As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calculation will put great pressure on the communication channel and the master station storage and calculation system. To solve the above-mentioned distribution network problems, edge computing technology is introduced and an edge computing platform is deployed on the end-side to achieve lightweight data processing. The contradiction between the huge amount of data generated by IoT terminals and their QoS requirements, and the limited system resources, makes it imperative to study QoS-awareness transmission methods for edge computing networks. |
| doi_str_mv | 10.1088/1742-6596/1650/3/032112 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2571078413</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2571078413</sourcerecordid><originalsourceid>FETCH-LOGICAL-c3282-bd076a81799692ef01c5ec81f5596903795033509916acb34ca1bc7a1c42d2323</originalsourceid><addsrcrecordid>eNqFkF1LwzAUhoMoOKe_wYB3Qm0-2qa9lOHHZKCyeR3SNJ2Za1OTlLF_b0plIgjm5gTO-5zkPABcYnSDUZ7HmCUkytIii3GWopjGiBKMyRGYHDrHh3uen4Iz5zYI0XDYBOil76s9NDV8NctI7IRV0KqtFqXear-H3orWNdo5bVrYKP9uKgdrY6Gq1gpK03S91-0atsrvjP1wULewMztlYaWdt7oM7UDOzeocnNRi69TFd52Ct_u71ewxWjw_zGe3i0hSkpOorBDLRI5ZUWQFUTXCMlUyx3UaFikQZUUa_p6iosCZkCVNpMClZALLhFSEEjoFV-PczprPXjnPN6a3bXiSk5RhxPIE05BiY0pa45xVNe-sboTdc4z44JUPxvhgjw9eOeWj10DSkdSm-xn9P3X9B_X0Mlv-DvKuqukXFBeH_Q</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2571078413</pqid></control><display><type>article</type><title>Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT</title><source>IOP Publishing Free Content</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>IOPscience extra</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Wang, Yongchao ; Cai, Dongdong ; Nian, Yugui</creator><creatorcontrib>Wang, Yongchao ; Cai, Dongdong ; Nian, Yugui</creatorcontrib><description>As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calculation will put great pressure on the communication channel and the master station storage and calculation system. To solve the above-mentioned distribution network problems, edge computing technology is introduced and an edge computing platform is deployed on the end-side to achieve lightweight data processing. The contradiction between the huge amount of data generated by IoT terminals and their QoS requirements, and the limited system resources, makes it imperative to study QoS-awareness transmission methods for edge computing networks.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/1650/3/032112</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Data processing ; Distribution IoT ; Edge computing ; Electric power distribution ; Mathematical analysis ; Network reliability ; Physics ; QoS awareness ; reliability ; Sensors</subject><ispartof>Journal of physics. Conference series, 2020-10, Vol.1650 (3), p.32112</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>2020. This work is published under http://creativecommons.org/licenses/by/3.0/ (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-c3282-bd076a81799692ef01c5ec81f5596903795033509916acb34ca1bc7a1c42d2323</citedby><cites>FETCH-LOGICAL-c3282-bd076a81799692ef01c5ec81f5596903795033509916acb34ca1bc7a1c42d2323</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/1650/3/032112/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>314,776,780,27901,27902,38845,38867,53815,53842</link.rule.ids></links><search><creatorcontrib>Wang, Yongchao</creatorcontrib><creatorcontrib>Cai, Dongdong</creatorcontrib><creatorcontrib>Nian, Yugui</creatorcontrib><title>Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calculation will put great pressure on the communication channel and the master station storage and calculation system. To solve the above-mentioned distribution network problems, edge computing technology is introduced and an edge computing platform is deployed on the end-side to achieve lightweight data processing. The contradiction between the huge amount of data generated by IoT terminals and their QoS requirements, and the limited system resources, makes it imperative to study QoS-awareness transmission methods for edge computing networks.</description><subject>Data processing</subject><subject>Distribution IoT</subject><subject>Edge computing</subject><subject>Electric power distribution</subject><subject>Mathematical analysis</subject><subject>Network reliability</subject><subject>Physics</subject><subject>QoS awareness</subject><subject>reliability</subject><subject>Sensors</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>BENPR</sourceid><recordid>eNqFkF1LwzAUhoMoOKe_wYB3Qm0-2qa9lOHHZKCyeR3SNJ2Za1OTlLF_b0plIgjm5gTO-5zkPABcYnSDUZ7HmCUkytIii3GWopjGiBKMyRGYHDrHh3uen4Iz5zYI0XDYBOil76s9NDV8NctI7IRV0KqtFqXear-H3orWNdo5bVrYKP9uKgdrY6Gq1gpK03S91-0atsrvjP1wULewMztlYaWdt7oM7UDOzeocnNRi69TFd52Ct_u71ewxWjw_zGe3i0hSkpOorBDLRI5ZUWQFUTXCMlUyx3UaFikQZUUa_p6iosCZkCVNpMClZALLhFSEEjoFV-PczprPXjnPN6a3bXiSk5RhxPIE05BiY0pa45xVNe-sboTdc4z44JUPxvhgjw9eOeWj10DSkdSm-xn9P3X9B_X0Mlv-DvKuqukXFBeH_Q</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Wang, Yongchao</creator><creator>Cai, Dongdong</creator><creator>Nian, Yugui</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</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>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20201001</creationdate><title>Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT</title><author>Wang, Yongchao ; Cai, Dongdong ; Nian, Yugui</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3282-bd076a81799692ef01c5ec81f5596903795033509916acb34ca1bc7a1c42d2323</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Data processing</topic><topic>Distribution IoT</topic><topic>Edge computing</topic><topic>Electric power distribution</topic><topic>Mathematical analysis</topic><topic>Network reliability</topic><topic>Physics</topic><topic>QoS awareness</topic><topic>reliability</topic><topic>Sensors</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yongchao</creatorcontrib><creatorcontrib>Cai, Dongdong</creatorcontrib><creatorcontrib>Nian, Yugui</creatorcontrib><collection>IOP Publishing Free Content</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</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 & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & 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><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yongchao</au><au>Cai, Dongdong</au><au>Nian, Yugui</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>1650</volume><issue>3</issue><spage>32112</spage><pages>32112-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>As the construction of IoT for power distribution advances, millions of power distribution equipment, electrical quantity sensors and condition sensors will be connected to the IoT network, thus generating huge amounts of heterogeneous power distribution data, whose collection, transmission and calculation will put great pressure on the communication channel and the master station storage and calculation system. To solve the above-mentioned distribution network problems, edge computing technology is introduced and an edge computing platform is deployed on the end-side to achieve lightweight data processing. The contradiction between the huge amount of data generated by IoT terminals and their QoS requirements, and the limited system resources, makes it imperative to study QoS-awareness transmission methods for edge computing networks.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/1650/3/032112</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1742-6588 |
| ispartof | Journal of physics. Conference series, 2020-10, Vol.1650 (3), p.32112 |
| issn | 1742-6588 1742-6596 |
| language | eng |
| recordid | cdi_proquest_journals_2571078413 |
| source | IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry |
| subjects | Data processing Distribution IoT Edge computing Electric power distribution Mathematical analysis Network reliability Physics QoS awareness reliability Sensors |
| title | Study of QoS-aware reliability transmission methods for edge computing networks in power distribution IoT |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T16%3A17%3A27IST&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=Study%20of%20QoS-aware%20reliability%20transmission%20methods%20for%20edge%20computing%20networks%20in%20power%20distribution%20IoT&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Wang,%20Yongchao&rft.date=2020-10-01&rft.volume=1650&rft.issue=3&rft.spage=32112&rft.pages=32112-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/1650/3/032112&rft_dat=%3Cproquest_cross%3E2571078413%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=2571078413&rft_id=info:pmid/&rfr_iscdi=true |