Priority-Based Task Offloading of Cooperative Edge Computing for Security Monitoring IoT System

Priority-Based Task Offloading of Cooperative Edge Computing for Security Monitoring IoT System | 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 Priority-Based Task Offloading of Cooperative Edge Computing for Security Monitoring IoT System Xubin He, Yi Liu, Guoxu Zhou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6447535/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 18 Feb, 2026 Read the published version in Wireless Networks → Version 1 posted 12 You are reading this latest preprint version Abstract Mobile edge computing (MEC) is expected as a promising technology toincrease the computational capability of security monitoringinternet of things (IoT) system which integrates various artificialintelligence (AI)-based applications such as intelligent videoanalysis, dynamic target tracking, etc., However, due to the complexwireless environment and dynamic computing demands, MEC may sufferinaccurate task offloading issue and result in performancedegradation of security monitoring IoT system. In this paper, wefirstly design a cooperative MEC framework for IoT devices andunmanned monitoring vehicles (UMVs) collaboratively to process taskswith different priority levels. Then, we propose a priority-basedtask offloading method to maximize the system utility under energyconstraints of IoT devices and UMVs. Given that the policy of taskoffloading depends on the system state, we formulate the taskoffloading problem as a Markov decision process (MDP) and propose anadaptive long-term optimization algorithm to solve it. Suchalgorithm combines deep deterministic policy gradient (DDPG) and areward estimation method in case the reward function may be lost dueto communication errors. Finally, numerical results validate theeffectiveness and superiority of our proposed scheme compared totraditional algorithms. Mobile edge computing prioritized task offloading security monitoring IoT system DDPG reward function estimation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 18 Feb, 2026 Read the published version in Wireless Networks → Version 1 posted Editorial decision: Revision requested 21 Oct, 2025 Reviews received at journal 17 Sep, 2025 Reviews received at journal 15 Sep, 2025 Reviews received at journal 30 Aug, 2025 Reviewers agreed at journal 25 Aug, 2025 Reviewers agreed at journal 20 Aug, 2025 Reviewers agreed at journal 20 Aug, 2025 Reviewers agreed at journal 20 Aug, 2025 Reviewers invited by journal 20 Aug, 2025 Editor assigned by journal 16 Jun, 2025 Submission checks completed at journal 17 Apr, 2025 First submitted to journal 14 Apr, 2025 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-6447535","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":505105407,"identity":"bbf7c686-0399-4d64-adac-7a8d26020609","order_by":0,"name":"Xubin He","email":"","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Xubin","middleName":"","lastName":"He","suffix":""},{"id":505105408,"identity":"a7b47a3c-407b-4308-8165-1e435cf141ba","order_by":1,"name":"Yi Liu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAw0lEQVRIie3MsQrCMBCA4QsFp2rXdlEfIbvSvkpKQUe3zpk6iXPFl7mSoYuka0EHiy/g2EUwaXeTboL5ITkC9wXA5frFPCDIYAuA+jWzI6DITt2eLYHhfzGB0Fotd0UTn9oDwisXEFy4gej/0+KWndsMSCkFhHe0JFQRb14IoCGzInIk7wkE44EQGxIJwpHJjEXXJ62Ocu+HrYEsGlF1fR4nizrtHn2+WQalgayRcD1TfaM6/vd91YqPMzFuulwu1//2AcnWSYc2hkiqAAAAAElFTkSuQmCC","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":true,"prefix":"","firstName":"Yi","middleName":"","lastName":"Liu","suffix":""},{"id":505105409,"identity":"ccc2eea4-75ef-4bb2-a00f-166761d80672","order_by":2,"name":"Guoxu Zhou","email":"","orcid":"","institution":"Guangdong University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Guoxu","middleName":"","lastName":"Zhou","suffix":""}],"badges":[],"createdAt":"2025-04-14 15:38:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6447535/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6447535/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1007/s11276-026-04104-8","type":"published","date":"2026-02-18T15:57:05+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":103251130,"identity":"d547d1dc-6818-465c-9818-ae0745a6d2cd","added_by":"auto","created_at":"2026-02-23 16:04:40","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":645216,"visible":true,"origin":"","legend":"","description":"","filename":"MECPriority1.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6447535/v1_covered_81a18774-2141-4e82-8225-fbef35257f11.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Priority-Based Task Offloading of Cooperative Edge Computing for Security Monitoring IoT System","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":"wireless-networks","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wine","sideBox":"Learn more about [Wireless Networks](http://link.springer.com/journal/11276)","snPcode":"11276","submissionUrl":"https://submission.nature.com/new-submission/11276/3","title":"Wireless Networks","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Mobile edge computing, prioritized task offloading, security monitoring IoT system, DDPG, reward function estimation","lastPublishedDoi":"10.21203/rs.3.rs-6447535/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6447535/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Mobile edge computing (MEC) is expected as a promising technology toincrease the computational capability of security monitoringinternet of things (IoT) system which integrates various artificialintelligence (AI)-based applications such as intelligent videoanalysis, dynamic target tracking, etc., However, due to the complexwireless environment and dynamic computing demands, MEC may sufferinaccurate task offloading issue and result in performancedegradation of security monitoring IoT system. 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