A Multi-Layer Heterogeneous Task Scheduling Strategy in UAVs-assisted MEC Networks

A Multi-Layer Heterogeneous Task Scheduling Strategy in UAVs-assisted MEC Networks | 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 A Multi-Layer Heterogeneous Task Scheduling Strategy in UAVs-assisted MEC Networks ShanChen Pang, XiaoRan Zhu, Haiyuan Gui, Yanxiang Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4715867/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract This paper studies the task scheduling problem in the multiple unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) system. In order to reflect the complexity and diversity of the system, we propose a multi-layer heterogeneous task scheduling strategy. The strategy allows system model to simulate arrival and service of tasks by applying heterogeneous M/M/1, M/M/c, and M/M/c/K classical queues. In order to better evaluate the proposed strategy, we obtain various performance measures. By trading off delay and energy consumption, a single-objective optimization problem with constraints is formulated. Then we introduce the penalty function method to transform the problem into a single-objective optimization problem without any constraints, and propose a hierarchical heterogeneous task scheduling optimization (HHTSO) algorithm to optimize the formulated problem. Theoretical analysis and simulation results show that the proposed algorithm is more effective in ensuring low delay and low energy consumption. Mobile edge computing unmanned aerial vehicle task scheduling performance measures optimization algorithm Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 10 Dec, 2024 Reviews received at journal 09 Dec, 2024 Reviewers agreed at journal 29 Aug, 2024 Reviews received at journal 14 Aug, 2024 Reviewers agreed at journal 07 Aug, 2024 Reviewers invited by journal 05 Aug, 2024 Editor assigned by journal 14 Jul, 2024 Submission checks completed at journal 11 Jul, 2024 First submitted to journal 10 Jul, 2024 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. 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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-4715867","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":329939418,"identity":"8fa51ef4-9580-4fb6-b571-c2654d4a69d8","order_by":0,"name":"ShanChen Pang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAw0lEQVRIiWNgGAWjYPACGwjFQ4KWNNK1HCZBizn72cMvf9ScT9zOfoDxwds2BnlzQlose/LSrHmO3U7c2ZPAbDi3jcFwZwMBLQYHcsyMGRtuJ264wcAmzdvGkGBwgJCW82/MDH82nANpYf9NnJYbOcYPeBsOgG1hJkqL5Yw3Zsw8x5KNd/YkNkvOOSdhuIGQFnP+HOOPP2rsZLezHz744U2ZjTxhhzEwsElAGIwNQEqCgHqIFuYPUMYoGAWjYBSMAuwAAGXbQCQ+DYsgAAAAAElFTkSuQmCC","orcid":"","institution":"China University of Petroleum (East China)","correspondingAuthor":true,"prefix":"","firstName":"ShanChen","middleName":"","lastName":"Pang","suffix":""},{"id":329939419,"identity":"dd424990-61ea-4ccb-8eba-8fca1739f1be","order_by":1,"name":"XiaoRan Zhu","email":"","orcid":"","institution":"China University of Petroleum (East China)","correspondingAuthor":false,"prefix":"","firstName":"XiaoRan","middleName":"","lastName":"Zhu","suffix":""},{"id":329939421,"identity":"763c83c4-6f91-457d-956f-8dfcc6da191f","order_by":2,"name":"Haiyuan Gui","email":"","orcid":"","institution":"China University of Petroleum (East China)","correspondingAuthor":false,"prefix":"","firstName":"Haiyuan","middleName":"","lastName":"Gui","suffix":""},{"id":329939426,"identity":"67286980-6e2d-4e8d-aec0-2f4508695ec4","order_by":3,"name":"Yanxiang Zhang","email":"","orcid":"","institution":"China University of Petroleum (East China)","correspondingAuthor":false,"prefix":"","firstName":"Yanxiang","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2024-07-10 06:01:52","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4715867/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4715867/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":61738334,"identity":"36d98c73-dab1-4814-b456-ba37de055712","added_by":"auto","created_at":"2024-08-05 04:05:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":539178,"visible":true,"origin":"","legend":"","description":"","filename":"CLUSPaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4715867/v1_covered_07958ed5-6ad4-43a5-bcee-fe2c0c4f1197.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Multi-Layer Heterogeneous Task Scheduling Strategy in UAVs-assisted MEC Networks","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"cluster-computing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Cluster Computing](https://www.springer.com/journal/10586)","snPcode":"10586","submissionUrl":"https://submission.nature.com/new-submission/10586/3","title":"Cluster Computing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Mobile edge computing, unmanned aerial vehicle, task scheduling, performance measures, optimization algorithm","lastPublishedDoi":"10.21203/rs.3.rs-4715867/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4715867/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper studies the task scheduling problem in the multiple unmanned aerial vehicle (UAV) assisted mobile edge computing (MEC) system. 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