Trust-enabled Decentralized Task Offloading for Collaborative Edge Computing Using Blockchain and Deep Reinforcement Learning

Trust-enabled Decentralized Task Offloading for Collaborative Edge Computing Using Blockchain and Deep Reinforcement Learning | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL Software: Practice and Experience This is a preprint and has not been peer reviewed. Data may be preliminary. 24 July 2025 V1 Latest version Share on Trust-enabled Decentralized Task Offloading for Collaborative Edge Computing Using Blockchain and Deep Reinforcement Learning Authors : Genyuan Yang , Wenjuan Li [email protected] , Qifei Zhang , Minxian Xu , Chengjie Pan , and Ben Wang Authors Info & Affiliations https://doi.org/10.22541/au.175335130.03019297/v1 Published Software: Practice and Experience Version of record Peer review timeline 345 views 206 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Collaborative edge computing (CEC) addresses resource limitations of single-node architectures by integrating resources from multiple edge nodes. However, ensuring reliable task offloading in the CEC environment remains a significant challenge. Existing solutions struggle to balance intelligence and trustworthiness in offloading decisions, leading to poor performance and low task success rates, especially when tasks are offloaded to malicious nodes. To tackle these challenges, this paper proposes a trust-enabled decentralized task offloading scheme combining blockchain technology and deep reinforcement learning (DRL). We introduce a blockchain-based reputation mechanism with smart contracts to facilitate trusted collaboration among nodes, a beta distribution-based three-factor reputation update (BTRU) algorithm for accurate reputation evaluation, and a decentralized trust-enabled task offloading (DTTO) algorithm that uses on-chain reputation data to guide trustworthy offloading policies. Based on Kubernetes and Ethereum, we developed a testbed to assess the performance of the proposed scheme. Experimental results demonstrate that BTRU reduces malicious nodes’ average reputation by 97.54%, with 9.94% improvement over competitors, while DTTO increases task success rates by at least 3.04%, reaching 5.41% improvement over competitors when malicious nodes comprise 40% of the network. Supplementary Material File (wileynjdv5_ama.pdf) Download 4.14 MB Information & Authors Information Version history V1 Version 1 24 July 2025 Peer review timeline Published Software: Practice and Experience Version of Record 12 Nov 2025 Published Copyright This work is licensed under a Non Exclusive No Reuse License. Collection Software: Practice and Experience Keywords blockchain collaborative edge computing decentralized task offloading deep reinforcement learning reputation management Authors Affiliations Genyuan Yang Hangzhou Normal University View all articles by this author Wenjuan Li [email protected] Hangzhou Normal University View all articles by this author Qifei Zhang Zhejiang University View all articles by this author Minxian Xu Chinese Academy of Sciences View all articles by this author Chengjie Pan Hangzhou Normal University View all articles by this author Ben Wang Hangzhou Normal University View all articles by this author Metrics & Citations Metrics Article Usage 345 views 206 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Genyuan Yang, Wenjuan Li, Qifei Zhang, et al. Trust-enabled Decentralized Task Offloading for Collaborative Edge Computing Using Blockchain and Deep Reinforcement Learning. Authorea . 24 July 2025. DOI: https://doi.org/10.22541/au.175335130.03019297/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . Format Please select one from the list RIS (ProCite, Reference Manager) EndNote BibTex Medlars RefWorks Direct import Tips for downloading citations document.getElementById('citMgrHelpLink').addEventListener('click', function() { popupHelp(this.href); return false; }); $(".js__slcInclude").on("change", function(e){ if ($(this).val() == 'refworks') $('#direct').prop("checked", false); $('#direct').prop("disabled", ($(this).val() == 'refworks')); }); View Options View options PDF View PDF Figures Tables Media Share Share Share article link Copy Link Copied! Copying failed. 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