Joint Energy Management and Task Assignment for Mobile Servers Assisted Mobile Edge Computing

Joint Energy Management and Task Assignment for Mobile Servers Assisted Mobile Edge Computing | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Joint Energy Management and Task Assignment for Mobile Servers Assisted Mobile Edge Computing Xiaoyao Huang, Guoliang Ji, Bo Lei, Jing Tang, Hang Lv This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-2175903/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Mobile edge computing is an important computing paradigm for delay-sensitive and computation-intensive tasks, which are growing explosively. In this paper, we study the joint optimization of task assignment and energy management in the mobile servers assisted edge computing network in order to minimize the system task delay. Considering the constraints of computing capacity of heterogeneous servers and energy capacity of mobile servers, this paper introduces the energy protection threshold to dynamically determine the energy-critical mobile servers and prevents them from participating in task processing, so as to effectively extend the overall service time of mobile computing resources, and thus finally minimize the average overall system delay. The system delay minimization problem is first formulated as a Mixed Integer Programming (MIP) problem, and we design a heuristic algorithm--dynamic Energy protection based delayed minimization Ant Colony algorithm (EACO) to solve the problem. In addition, the transition probability function is constructed according to the optimization objective and the characteristics of the ant colony algorithm. We conduct extensive simulations and the results demonstrate the high performance of the proposed algorithms compared to the benchmark algorithms. Mobile edge computing mobile servers task assignment energy balancing Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-2175903","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":145357160,"identity":"2df355cc-4b32-4f6a-9b4d-8b831c69e47c","order_by":0,"name":"Xiaoyao Huang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDklEQVRIiWNgGAWjYBACAyhtx8/ewMaQAGKyE6klWbLnAFiLBAMzkVoYN9xIYAMxCGsxl0h+9vBr22FmhpuPnz14uMOujp+Z+eCHjzkM8uY4tFjOSDM3ljlzmI9xdpq5QeKZZAnJZrZkyZnbGAx3NuBw2I0EM2mJisPMzNI5bBKJbcwSBod5zJh5tzEkGBzApSX9mzRQGWOb5BmQlnoJ+8P83whoyTGT/FBxmLFHggek5bCEATMPG34tZ96USTOcSU+W4EkzA2o5LjnjMJsx0C8ShhtwaTmevk3yZ5u1nf3xw8+AjGp+/vbmhx8+brORx2ULCDDzMDRjCErgVg8EjD8Y6vAqGAWjYBSMghEOABdUVlV2qQLBAAAAAElFTkSuQmCC","orcid":"","institution":"Research Institute, China Telecom","correspondingAuthor":true,"submittingAuthor":false,"prefix":"","firstName":"Xiaoyao","middleName":"","lastName":"Huang","suffix":""},{"id":145357162,"identity":"fc99d980-045e-4ec1-8b13-823023ddb9b8","order_by":1,"name":"Guoliang Ji","email":"","orcid":"","institution":"No.208 Research Institute of China Ordnance Industries","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Guoliang","middleName":"","lastName":"Ji","suffix":""},{"id":145357163,"identity":"c8352a5a-3764-4f37-b7fc-ae3ee821b37b","order_by":2,"name":"Bo Lei","email":"","orcid":"","institution":"Research Institute, China Telecom","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Bo","middleName":"","lastName":"Lei","suffix":""},{"id":145357164,"identity":"43aa23e6-1a31-49be-a927-22140a743623","order_by":3,"name":"Jing Tang","email":"","orcid":"","institution":"Research Institute, China Telecom","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Jing","middleName":"","lastName":"Tang","suffix":""},{"id":145357165,"identity":"8a8ffeaf-55a2-42c2-bf66-fbc9804f76ce","order_by":4,"name":"Hang Lv","email":"","orcid":"","institution":"Research Institute, China Telecom","correspondingAuthor":false,"submittingAuthor":false,"prefix":"","firstName":"Hang","middleName":"","lastName":"Lv","suffix":""}],"badges":[],"createdAt":"2022-10-17 16:29:33","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-2175903/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-2175903/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":31579862,"identity":"c25de5ab-49c6-417f-8cf8-51832bf37e22","added_by":"auto","created_at":"2023-01-14 20:29:24","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":100897,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-2175903/v1/06f15dc7-c6c4-43a7-a62d-878eda0d317a.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eJoint Energy Management and Task Assignment for Mobile Servers Assisted Mobile Edge Computing\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-2175903/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"Mobile edge computing, mobile servers, task assignment, energy balancing","lastPublishedDoi":"10.21203/rs.3.rs-2175903/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-2175903/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Mobile edge computing is an important computing paradigm for delay-sensitive and computation-intensive tasks, which are growing explosively. 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