A Comprehensive Dataset for Job Allocation in Internet of Things Networks.

A Comprehensive Dataset for Job Allocation in Internet of Things 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 data-descriptor A Comprehensive Dataset for Job Allocation in Internet of Things Networks. Murilo Táparo, Ricado Ribeiro Santos, Bianca Dantas This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8463941/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract This paper presents the Network and Application Dataset for Internet of Things (NADIoT), a dataset built to support research on job allocation in large-scale IoT networks. The dataset provides instances containing between 10 (101) and 1,000,000,000 (109) network nodes, each associated with multiple jobs that represent application demands. Nodes and jobs of the dataset have essential attributes such as processing capacity, bandwidth, and latency, allowing researchers to explore performance under a wide range of operating conditions. NAD-IoT is organized into scenarios defined by the ratio between jobs and nodes: lightweight scenarios, where jobs represent up to 20% of the nodes, and heavyweight scenarios, where jobs correspond to 70% of the nodes. It enables systematic assessments of heuristics, metaheuristics, and optimization strategies, supporting analyzes of scalability, efficiency, and runtime. It provides a reliable foundation for benchmarking algorithmic behavior, examining job-distribution patterns, and evaluating resource-management techniques.Beyond optimization studies, NAD-IoT can be used for experiments, simulation design, model training, and validation in investigations involving large-scale, heterogeneous, and resource-constrained IoT environments. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-8463941","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"data-descriptor","associatedPublications":[],"authors":[{"id":584654940,"identity":"f441ddb2-2112-4634-afff-e2878c473b1b","order_by":0,"name":"Murilo Táparo","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABCklEQVRIiWNgGAWjYJCCAw/gzAoGfgaGBAYGHjCJRwtQVgLCPMMg2UCMFga4FsY2IrTozsh9eCChgqGOf3bzsw8f5x2WkHdPYHzwto0hz7wBuxazG+kGBxLOMEhI3DlmPHPmtsMShmceMBvObWMoljmAS0saw4HENqDDbiQYM/NuO1xnOCOBTZq3jSFxBg6HwbXI30j/zMw7B2jLjAT230RpMbiRA7SlAegXiQQ2ZrxazjwDBvIZCcmNd84UM844li5hwPOwWXLOOYliCVxajqcxf/hQYcMvd7t9M8OHGmsJ+fbkgx/elNnk4dICBRLwyGQwOMDYwIDgEtAFBvINRCgeBaNgFIyCEQUAs8lb3jV6jloAAAAASUVORK5CYII=","orcid":"","institution":"Federal University of Grande Dourados","correspondingAuthor":true,"prefix":"","firstName":"Murilo","middleName":"","lastName":"Táparo","suffix":""},{"id":584654941,"identity":"2a2c5dba-1f09-41f7-ad17-f852ba77c795","order_by":1,"name":"Ricado Ribeiro Santos","email":"","orcid":"","institution":"Federal University of Mato Grosso do Sul","correspondingAuthor":false,"prefix":"","firstName":"Ricado","middleName":"Ribeiro","lastName":"Santos","suffix":""},{"id":584654943,"identity":"0273b165-f2c5-4b4c-a0c0-0a0bdad41380","order_by":2,"name":"Bianca Dantas","email":"","orcid":"","institution":"Federal University of Mato Grosso do Sul","correspondingAuthor":false,"prefix":"","firstName":"Bianca","middleName":"","lastName":"Dantas","suffix":""}],"badges":[],"createdAt":"2025-12-28 04:53:12","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-8463941/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-8463941/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":101881144,"identity":"12ab8cd2-b320-456b-a12f-e35b7fd4addf","added_by":"auto","created_at":"2026-02-04 15:10:12","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":984125,"visible":true,"origin":"","legend":"","description":"","filename":"ScientificData.pdf","url":"https://assets-eu.researchsquare.com/files/rs-8463941/v1_covered_41ba939f-230a-479a-8f4e-a996893dedab.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"A Comprehensive Dataset for Job Allocation in Internet of Things Networks.","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"","lastPublishedDoi":"10.21203/rs.3.rs-8463941/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-8463941/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"This paper presents the Network and Application Dataset for Internet of Things (NADIoT), a dataset built to support research on job allocation in large-scale IoT networks. 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