{"paper_id":"050de3c7-94c2-4ecb-a0cd-92c09c4f7b24","body_text":"Adaptive Mobility-Aware Hierarchical Task Offloading for Delay-Sensitive Applications in Fog 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 Article Adaptive Mobility-Aware Hierarchical Task Offloading for Delay-Sensitive Applications in Fog Computing Deepa Devendiran, Jothi K R This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7932026/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 14 You are reading this latest preprint version Abstract Delay-sensitive IoT applications require an immediate response, while computing tasks in a fog-enabled network must be executed efficiently. Fog computing nodes are resource-limited and cannot handle more requests within the deadline. The process of task offloading continues to be difficult because of the user's mobility and the processing capabilities of the fog node. A new multi-level fog layer is proposed in the system architecture of the fog computing. In addition to this, this model utilizes the IoT device as a fog computing node based on certain criteria like computational capacity, mobility, etc. Random mobility prediction model is used to predict the future location of the user and the IoT device. A task offloading scheme that optimize the location aware module before engaging the device for task computation. Comprehensive MobFogSim simulations demonstrate that the proposed model and algorithm converge effectively, reducing latency and improving the user experience of handling sensitive applications by 20% compared to existing methods. Physical sciences/Engineering Physical sciences/Mathematics and computing Latency Mobility Resource allocation Task offloading Deadline-aware Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 07 Jan, 2026 Reviews received at journal 07 Jan, 2026 Reviews received at journal 07 Jan, 2026 Reviewers agreed at journal 04 Jan, 2026 Reviewers agreed at journal 31 Dec, 2025 Reviews received at journal 15 Dec, 2025 Reviewers agreed at journal 01 Nov, 2025 Reviewers agreed at journal 29 Oct, 2025 Reviewers agreed at journal 29 Oct, 2025 Reviewers invited by journal 29 Oct, 2025 Editor invited by journal 29 Oct, 2025 Editor assigned by journal 27 Oct, 2025 Submission checks completed at journal 27 Oct, 2025 First submitted to journal 23 Oct, 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-7932026\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":false,\"archivedVersions\":[],\"articleType\":\"Article\",\"associatedPublications\":[],\"authors\":[{\"id\":541971695,\"identity\":\"4467485d-8115-4f52-9906-f60393d36c23\",\"order_by\":0,\"name\":\"Deepa Devendiran\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"Vellore Institute of Technology\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Deepa\",\"middleName\":\"\",\"lastName\":\"Devendiran\",\"suffix\":\"\"},{\"id\":541971696,\"identity\":\"d457017d-a692-4fcd-8f53-c393ba3ce5f4\",\"order_by\":1,\"name\":\"Jothi K 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Fog computing nodes are resource-limited and cannot handle more requests within the deadline. The process of task offloading continues to be difficult because of the user's mobility and the processing capabilities of the fog node. A new multi-level fog layer is proposed in the system architecture of the fog computing. In addition to this, this model utilizes the IoT device as a fog computing node based on certain criteria like computational capacity, mobility, etc. Random mobility prediction model is used to predict the future location of the user and the IoT device. A task offloading scheme that optimize the location aware module before engaging the device for task computation. Comprehensive MobFogSim simulations demonstrate that the proposed model and algorithm converge effectively, reducing latency and improving the user experience of handling sensitive applications by 20% compared to existing methods.\\u003c/p\\u003e\",\"manuscriptTitle\":\"Adaptive Mobility-Aware Hierarchical Task Offloading for Delay-Sensitive Applications in Fog Computing\",\"msid\":\"\",\"msnumber\":\"\",\"nonDraftVersions\":[{\"code\":1,\"date\":\"2025-11-10 03:34:13\",\"doi\":\"10.21203/rs.3.rs-7932026/v1\",\"editorialEvents\":[{\"type\":\"communityComments\",\"content\":0},{\"type\":\"decision\",\"content\":\"Revision requested\",\"date\":\"2026-01-07T15:01:00+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-01-07T11:11:38+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2026-01-07T06:01:28+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"266034389716954029258498203482964274683\",\"date\":\"2026-01-04T09:55:48+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"28471458905476088919257735787381153732\",\"date\":\"2025-12-31T16:17:44+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"editorInvitedReview\",\"content\":\"\",\"date\":\"2025-12-15T06:21:31+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"307851989515512236729088681144012652851\",\"date\":\"2025-11-01T15:23:43+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"329839085708814831023352729185307513586\",\"date\":\"2025-10-30T03:37:39+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewerAgreed\",\"content\":\"313528169278862281773883964086425111363\",\"date\":\"2025-10-29T16:10:43+00:00\",\"index\":\"hide\",\"fulltext\":\"\"},{\"type\":\"reviewersInvited\",\"content\":\"\",\"date\":\"2025-10-29T14:46:26+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorInvited\",\"content\":\"\",\"date\":\"2025-10-29T13:54:58+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"editorAssigned\",\"content\":\"\",\"date\":\"2025-10-27T05:14:18+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"checksComplete\",\"content\":\"\",\"date\":\"2025-10-27T05:11:59+00:00\",\"index\":\"\",\"fulltext\":\"\"},{\"type\":\"submitted\",\"content\":\"Scientific Reports\",\"date\":\"2025-10-23T11:59:35+00:00\",\"index\":\"\",\"fulltext\":\"\"}],\"status\":\"published\",\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"scientific-reports\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":false,\"externalIdentity\":\"scirep\",\"sideBox\":\"Learn more about [Scientific Reports](http://www.nature.com/srep/)\",\"snPcode\":\"\",\"submissionUrl\":\"\",\"title\":\"Scientific Reports\",\"twitterHandle\":\"\",\"acdcEnabled\":true,\"dfaEnabled\":true,\"editorialSystem\":\"stoa\",\"reportingPortfolio\":\"Scientific Reports\",\"inReviewEnabled\":true,\"inReviewRevisionsEnabled\":true}}],\"origin\":\"\",\"ownerIdentity\":\"eb572f48-87b0-4999-8710-9798509fa8e4\",\"owner\":[],\"postedDate\":\"November 10th, 2025\",\"published\":true,\"recentEditorialEvents\":[],\"rejectedJournal\":[],\"revision\":\"\",\"amendment\":\"\",\"status\":\"under-review\",\"subjectAreas\":[{\"id\":57661260,\"name\":\"Physical sciences/Engineering\"},{\"id\":57661261,\"name\":\"Physical sciences/Mathematics and computing\"}],\"tags\":[],\"updatedAt\":\"2026-04-09T13:25:44+00:00\",\"versionOfRecord\":[],\"versionCreatedAt\":\"2025-11-10 03:34:13\",\"video\":\"\",\"vorDoi\":\"\",\"vorDoiUrl\":\"\",\"workflowStages\":[]},\"version\":\"v1\",\"identity\":\"rs-7932026\",\"journalConfig\":\"researchsquare\"},\"__N_SSP\":true},\"page\":\"/article/[identity]/[[...version]]\",\"query\":{\"redirect\":\"/article/rs-7932026\",\"identity\":\"rs-7932026\",\"version\":[\"v1\"]},\"buildId\":\"8U1c8b4HqxoKbykW_rLl7\",\"isFallback\":false,\"isExperimentalCompile\":false,\"dynamicIds\":[84888],\"gssp\":true,\"scriptLoader\":[]}","source_license":"CC-BY-4.0","license_restricted":false}