Dependency-aware Task Collaborative Offloading and Resource Allocation in UAV Enabled Edge Computing

Dependency-aware Task Collaborative Offloading and Resource Allocation in UAV Enabled 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 Dependency-aware Task Collaborative Offloading and Resource Allocation in UAV Enabled Edge Computing Zhenqi Huang, Zhufang Kuang, Bin Xu, Yuanguo Bi, Anfeng Liu This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4689562/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 11 Mar, 2025 Read the published version in Peer-to-Peer Networking and Applications → Version 1 posted 12 You are reading this latest preprint version Abstract Edge computing, a new wireless communications technology, can provide abundant resources for computing and storage. Recently, it is a challenging problem to jointly consider the offloading and resource allocation of generally dependent tasks in multi Unmanned Aerial Vehicles (UAVs) multi Terminal Devices (TDs) edge computing system. In this paper, the joint problem of offloading decisions, collaborative decisions and resource allocation of general dependent tasks is investigated, considering and highlighting the cooperation between TDs. The corresponding optimization problem, which is a Mixed Integer Nonlinear Programming problem, is formulated. To make this problem solved, an iterative method based on Deep Reinforcement Learning (DRL) and Convex optimization is proposed to decompose the original problem into two subproblems. Given the resource allocation scheme, the Deep Q network (DQN) algorithm is employed to solve the offloading and collaborative decisions of all tasks. Then, given the offloading decision and cooperation decision of all tasks, the convex optimization algorithm is used to solve the optimal resource allocation scheme in the UAV enabled edge computing system. Two subproblems iterative alternately. The simulation results demonstrated that our proposed method can significantly reduce the system energy consumption compared to other schemes. Deep Reinforcement Learning Mixed Integer Nonlinear Programming UAV Task dependency Resource allocation Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 11 Mar, 2025 Read the published version in Peer-to-Peer Networking and Applications → Version 1 posted Editorial decision: Revision requested 02 Dec, 2024 Reviews received at journal 26 Nov, 2024 Reviewers agreed at journal 24 Nov, 2024 Reviews received at journal 22 Nov, 2024 Reviews received at journal 21 Nov, 2024 Reviewers agreed at journal 12 Nov, 2024 Reviewers agreed at journal 11 Nov, 2024 Reviewers agreed at journal 11 Nov, 2024 Reviewers invited by journal 11 Nov, 2024 Editor assigned by journal 04 Nov, 2024 Submission checks completed at journal 11 Jul, 2024 First submitted to journal 05 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. 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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-4689562","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":377424981,"identity":"d7e5fe81-5692-45cb-bc4d-24c53c2206c9","order_by":0,"name":"Zhenqi Huang","email":"","orcid":"","institution":"College of Computer and Mathematics, Central South University of Forestry and Technology","correspondingAuthor":false,"prefix":"","firstName":"Zhenqi","middleName":"","lastName":"Huang","suffix":""},{"id":377424982,"identity":"95a25992-90ff-4fc1-994a-4491d326ed82","order_by":1,"name":"Zhufang 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