Calculation unloading method based on improved particle swarm optimization in mobile edge calculation
The invention provides a calculation unloading method based on an improved particle swarm optimization algorithm, which combines energy information and charging state information of local equipment, comprehensively considers energy consumption and time delay unloading cost, establishes an MEC calcul...
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| creator | JIANG PENG CAI LIJING MENG YANJUN DING CHENYANG KANG DAE-LIM FU SHUANG |
| description | The invention provides a calculation unloading method based on an improved particle swarm optimization algorithm, which combines energy information and charging state information of local equipment, comprehensively considers energy consumption and time delay unloading cost, establishes an MEC calculation unloading system model in a multi-equipment multi-task multi-server scene, and provides a calculation unloading system model for a mixed integer nonlinear programming problem of calculation unloading. And solving an unloading decision and a resource allocation variable by adopting an improved particle swarm algorithm, and finally obtaining an optimal unloading decision and resource allocation scheme. According to the method, under the scene of multiple devices, multiple tasks and multiple servers, the problem that calculation resource allocation of the MEC server is not considered in an existing calculation unloading method is solved.
本发明提供一种基于改进粒子群算法的计算卸载方法，本方法结合本地设备的能量信息及充电状态信息，综合考虑能耗和时延卸载成本，建立多设备多任务多服务器场景下 |
| format | Patent |
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本发明提供一种基于改进粒子群算法的计算卸载方法，本方法结合本地设备的能量信息及充电状态信息，综合考虑能耗和时延卸载成本，建立多设备多任务多服务器场景下</description><language>chi ; eng</language><subject>ELECTRIC COMMUNICATION TECHNIQUE ; ELECTRICITY ; WIRELESS COMMUNICATIONS NETWORKS</subject><creationdate>2022</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221125&DB=EPODOC&CC=CN&NR=115396953A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,309,781,886,25569,76552</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20221125&DB=EPODOC&CC=CN&NR=115396953A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>JIANG PENG</creatorcontrib><creatorcontrib>CAI LIJING</creatorcontrib><creatorcontrib>MENG YANJUN</creatorcontrib><creatorcontrib>DING CHENYANG</creatorcontrib><creatorcontrib>KANG DAE-LIM</creatorcontrib><creatorcontrib>FU SHUANG</creatorcontrib><title>Calculation unloading method based on improved particle swarm optimization in mobile edge calculation</title><description>The invention provides a calculation unloading method based on an improved particle swarm optimization algorithm, which combines energy information and charging state information of local equipment, comprehensively considers energy consumption and time delay unloading cost, establishes an MEC calculation unloading system model in a multi-equipment multi-task multi-server scene, and provides a calculation unloading system model for a mixed integer nonlinear programming problem of calculation unloading. And solving an unloading decision and a resource allocation variable by adopting an improved particle swarm algorithm, and finally obtaining an optimal unloading decision and resource allocation scheme. According to the method, under the scene of multiple devices, multiple tasks and multiple servers, the problem that calculation resource allocation of the MEC server is not considered in an existing calculation unloading method is solved.
本发明提供一种基于改进粒子群算法的计算卸载方法，本方法结合本地设备的能量信息及充电状态信息，综合考虑能耗和时延卸载成本，建立多设备多任务多服务器场景下</description><subject>ELECTRIC COMMUNICATION TECHNIQUE</subject><subject>ELECTRICITY</subject><subject>WIRELESS COMMUNICATIONS NETWORKS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2022</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNqNjLEKAjEQRK-xEPUf1g-wOMIJV0pQrKzsj71kPReSbEhyCn69AQVbqxl4b2bZkEZnZoeFJcAcnKDlMIGnchcLI2ayUAn7mORRe8RU2DiC_MTkQWJhz6_PnAN4GblCshOB-T2vm8UNXabNN1fN9nS86vOOogyUIxoKVAZ9adtO9fu-Uwf1j_MGhNU_6w</recordid><startdate>20221125</startdate><enddate>20221125</enddate><creator>JIANG PENG</creator><creator>CAI LIJING</creator><creator>MENG YANJUN</creator><creator>DING CHENYANG</creator><creator>KANG DAE-LIM</creator><creator>FU SHUANG</creator><scope>EVB</scope></search><sort><creationdate>20221125</creationdate><title>Calculation unloading method based on improved particle swarm optimization in mobile edge calculation</title><author>JIANG PENG ; CAI LIJING ; MENG YANJUN ; DING CHENYANG ; KANG DAE-LIM ; FU SHUANG</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_CN115396953A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>chi ; eng</language><creationdate>2022</creationdate><topic>ELECTRIC COMMUNICATION TECHNIQUE</topic><topic>ELECTRICITY</topic><topic>WIRELESS COMMUNICATIONS NETWORKS</topic><toplevel>online_resources</toplevel><creatorcontrib>JIANG PENG</creatorcontrib><creatorcontrib>CAI LIJING</creatorcontrib><creatorcontrib>MENG YANJUN</creatorcontrib><creatorcontrib>DING CHENYANG</creatorcontrib><creatorcontrib>KANG DAE-LIM</creatorcontrib><creatorcontrib>FU SHUANG</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>JIANG PENG</au><au>CAI LIJING</au><au>MENG YANJUN</au><au>DING CHENYANG</au><au>KANG DAE-LIM</au><au>FU SHUANG</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>Calculation unloading method based on improved particle swarm optimization in mobile edge calculation</title><date>2022-11-25</date><risdate>2022</risdate><abstract>The invention provides a calculation unloading method based on an improved particle swarm optimization algorithm, which combines energy information and charging state information of local equipment, comprehensively considers energy consumption and time delay unloading cost, establishes an MEC calculation unloading system model in a multi-equipment multi-task multi-server scene, and provides a calculation unloading system model for a mixed integer nonlinear programming problem of calculation unloading. And solving an unloading decision and a resource allocation variable by adopting an improved particle swarm algorithm, and finally obtaining an optimal unloading decision and resource allocation scheme. According to the method, under the scene of multiple devices, multiple tasks and multiple servers, the problem that calculation resource allocation of the MEC server is not considered in an existing calculation unloading method is solved.
本发明提供一种基于改进粒子群算法的计算卸载方法，本方法结合本地设备的能量信息及充电状态信息，综合考虑能耗和时延卸载成本，建立多设备多任务多服务器场景下</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | ELECTRIC COMMUNICATION TECHNIQUE ELECTRICITY WIRELESS COMMUNICATIONS NETWORKS |
| title | Calculation unloading method based on improved particle swarm optimization in mobile edge calculation |
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