Energy efficient Computational Data Offloading for Prolonging Lifetime of WSN: A Machine Learning Framework

Energy efficient Computational Data Offloading for Prolonging Lifetime of WSN: A Machine Learning Framework | 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 Energy efficient Computational Data Offloading for Prolonging Lifetime of WSN: A Machine Learning Framework Ranadeep Dey, Parag Kumar Guha Thakurta This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7482296/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 11 You are reading this latest preprint version Abstract In a cluster based hierarchical wireless sensor networks (WSNs), multiple sensor nodes are grouped together to build a cluster. Here, a cluster head (CH) node is selected to perform the computational task for aggregating the sensor collected data and forward the aggregated data towards a network gateway for further analysis. Thus, the computational data offloading from CH node is an important task for designing an energy efficient WSN. In order to improve the energy efficiency of the WSN, a computational data offloading technique is proposed in this paper under hierarchical arrangements of the sensor nodes. The proposed approach distributes the task of computational data aggregation into some other member sensor nodes, instead of only relying on the CH node of a cluster. In this proposed approach, the relevant component analysis (RCA) is applied to learn intra-cluster distance metric, based on the selected features of sensor nodes. After performing RCA, the distance metric learning (DML) approach is used to find a nearest neighbour node from a sensor node to aggregate the collected data, which is either a CH or any other member sensor node placed closer. To connect any other member sensor node with any sensor node, a temporary link has been created to find a route to reach data towards the nearest sensor node. The proposed work improves the energy efficiency of the network, and that in turn can prolong the WSN lifetime. Various simulation results show the superiority of the proposed approach over state-of-the-art works. Cluster Head Data Offloading Energy Relevant Components Analysis Distance Metric Learning WSN Lifetime Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 13 Nov, 2025 Reviews received at journal 11 Nov, 2025 Reviewers agreed at journal 25 Sep, 2025 Reviews received at journal 25 Sep, 2025 Reviewers agreed at journal 24 Sep, 2025 Reviewers agreed at journal 24 Sep, 2025 Reviewers agreed at journal 24 Sep, 2025 Reviewers invited by journal 23 Sep, 2025 Editor assigned by journal 09 Sep, 2025 Submission checks completed at journal 09 Sep, 2025 First submitted to journal 28 Aug, 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. 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-7482296","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":524442535,"identity":"5c420799-6ad9-4181-8485-a7c8c20c194e","order_by":0,"name":"Ranadeep Dey","email":"data:image/png;base64,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","orcid":"","institution":"National Institute of Technology","correspondingAuthor":true,"prefix":"","firstName":"Ranadeep","middleName":"","lastName":"Dey","suffix":""},{"id":524442536,"identity":"3e9836db-9c9a-4e67-bc04-8491ea36577e","order_by":1,"name":"Parag Kumar Guha Thakurta","email":"","orcid":"","institution":"National Institute of Technology","correspondingAuthor":false,"prefix":"","firstName":"Parag","middleName":"Kumar Guha","lastName":"Thakurta","suffix":""}],"badges":[],"createdAt":"2025-08-28 16:53:17","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-7482296/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7482296/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":92877142,"identity":"7282ba24-6f2f-468d-a32c-6bd8e5c8eed4","added_by":"auto","created_at":"2025-10-06 14:53:59","extension":"docx","order_by":0,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":801473,"visible":true,"origin":"","legend":"","description":"","filename":"EnergyefficientComputationalDataOffloadingforProlonginglifetimeofWSNAMachineLearningFramework.docx","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/a5b09b1ef729dcd80bf7be0d.docx"},{"id":92877133,"identity":"fb3ce9aa-6d25-4ae7-a7d2-45eb1c491fd4","added_by":"auto","created_at":"2025-10-06 14:53:58","extension":"json","order_by":1,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4546,"visible":true,"origin":"","legend":"","description":"","filename":"b32a7da3a7fe4fa7ae7c718b0f30eb58.json","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/b848d0819ec479a2987e89e7.json"},{"id":92877182,"identity":"b6ab03b5-e83f-4a53-b57d-89ab876053c3","added_by":"auto","created_at":"2025-10-06 14:54:02","extension":"xml","order_by":2,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":147569,"visible":true,"origin":"","legend":"","description":"","filename":"b32a7da3a7fe4fa7ae7c718b0f30eb581enriched.xml","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/5d1226046f2b76f00d4759ed.xml"},{"id":92877137,"identity":"b71d3595-8a2f-4185-97b7-dbf07fc40d20","added_by":"auto","created_at":"2025-10-06 14:53:59","extension":"png","order_by":3,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":41178,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/34490152095168684675495a.png"},{"id":92877175,"identity":"2a9d4e5c-a82d-418e-8e9b-7a3d453dc8a3","added_by":"auto","created_at":"2025-10-06 14:54:01","extension":"jpeg","order_by":4,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":239884,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage10.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/57951e0a79b87da58ad14d4d.jpeg"},{"id":92877180,"identity":"947ae2d8-3868-424b-bdc5-2e8d8886256c","added_by":"auto","created_at":"2025-10-06 14:54:02","extension":"png","order_by":5,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":22425,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage11.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/16bd13de605b4e8111eb5b06.png"},{"id":92877154,"identity":"85ceb3ba-e0fd-40dd-b49b-7a86a7bf297b","added_by":"auto","created_at":"2025-10-06 14:54:00","extension":"png","order_by":6,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":9906,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage12.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/14e9cdf9649424c8e121d553.png"},{"id":92877637,"identity":"255fe127-d56e-4e62-a7e8-524f36bd0ec3","added_by":"auto","created_at":"2025-10-06 15:01:59","extension":"png","order_by":7,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":5900,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage13.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/9e405bd33d00e713db89d873.png"},{"id":92877149,"identity":"6bd1cb83-f8ea-44e0-8728-51f3d1dfe6a2","added_by":"auto","created_at":"2025-10-06 14:53:59","extension":"emf","order_by":8,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":35044,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage14.emf","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/31b056b4207f90f4b0fd8472.emf"},{"id":92877150,"identity":"2929a2eb-e271-4df1-a737-81bdc89373ad","added_by":"auto","created_at":"2025-10-06 14:54:00","extension":"jpeg","order_by":9,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":40516,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage15.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/f65af239cf99932a3363a5a1.jpeg"},{"id":92877140,"identity":"a1aac462-161d-40f7-863e-90c25cbaea91","added_by":"auto","created_at":"2025-10-06 14:53:59","extension":"jpeg","order_by":10,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":27829,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage16.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/6ddc4776d01bb1e2a727c3c5.jpeg"},{"id":92877156,"identity":"e24f70f6-d514-4252-9676-5fc2e8ff45b7","added_by":"auto","created_at":"2025-10-06 14:54:00","extension":"jpeg","order_by":11,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":136376,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage2.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/d69c18f696bbd4b2f98ed0a1.jpeg"},{"id":92877636,"identity":"5c8c6057-b011-4024-bc9e-076b4ab05f6e","added_by":"auto","created_at":"2025-10-06 15:01:59","extension":"jpeg","order_by":12,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":288387,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage3.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/6ff1dc53f76a7dff7a50ac9b.jpeg"},{"id":92877143,"identity":"5bf6acda-2fbe-41c8-aec0-3bd3d8fc3307","added_by":"auto","created_at":"2025-10-06 14:53:59","extension":"jpeg","order_by":13,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":108617,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage4.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/fe4dc84cb1ba1933b1788fd6.jpeg"},{"id":92877126,"identity":"a1df0e43-1a2a-448e-8c7f-eaa18cd2307c","added_by":"auto","created_at":"2025-10-06 14:53:56","extension":"jpeg","order_by":14,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":248420,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage5.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/75c4037fd4b8deb0118dbbfe.jpeg"},{"id":92877151,"identity":"f5011924-0f23-4b06-b997-9e67812fd210","added_by":"auto","created_at":"2025-10-06 14:54:00","extension":"jpeg","order_by":15,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":198223,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage6.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/4ba011a8db683b260f2d0867.jpeg"},{"id":92877124,"identity":"eded4d66-395f-4f51-996b-f00930c0b29b","added_by":"auto","created_at":"2025-10-06 14:53:55","extension":"jpeg","order_by":16,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":126738,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage7.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/0b1c2439248331946ac0c0d3.jpeg"},{"id":92877152,"identity":"7d800272-da63-49a0-b68d-ea2bc9661630","added_by":"auto","created_at":"2025-10-06 14:54:00","extension":"jpeg","order_by":17,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":533183,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage8.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/779cd3be93b6b50bf0ec398b.jpeg"},{"id":92877129,"identity":"8b35ac2f-b9a4-4b47-b48e-bca634131392","added_by":"auto","created_at":"2025-10-06 14:53:58","extension":"jpeg","order_by":18,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":277244,"visible":true,"origin":"","legend":"","description":"","filename":"floatimage9.jpeg","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/afc44209686fad818aedd220.jpeg"},{"id":92877132,"identity":"7bf60b87-3e8a-4bc3-b6c5-f29a86076822","added_by":"auto","created_at":"2025-10-06 14:53:58","extension":"png","order_by":19,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":13884,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage1.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/87567cac17707d0b283e2a72.png"},{"id":92877136,"identity":"142d9335-f367-4d5a-8cd5-becc9eb43075","added_by":"auto","created_at":"2025-10-06 14:53:58","extension":"png","order_by":20,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":64766,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage10.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/aa4533e03b658c6967fcaab4.png"},{"id":92877172,"identity":"4bd154b2-dd0b-4aa8-9221-c0faef4eec0a","added_by":"auto","created_at":"2025-10-06 14:54:00","extension":"png","order_by":21,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":8826,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage11.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/93d98bae7d838d5dc52825e4.png"},{"id":92877131,"identity":"5d366dd9-0f88-4ce1-8e46-95437446ef25","added_by":"auto","created_at":"2025-10-06 14:53:58","extension":"png","order_by":22,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":4845,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage12.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/bfcba1612fb55930f0ecb6dd.png"},{"id":92877178,"identity":"c8ec96c8-efb1-41ac-9a3d-b2d8fdc3e9aa","added_by":"auto","created_at":"2025-10-06 14:54:01","extension":"png","order_by":23,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":5059,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage13.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/1b72ac516039c2c45fa4bf10.png"},{"id":92877128,"identity":"822a5c17-b72f-4394-a665-ec6eb3c789de","added_by":"auto","created_at":"2025-10-06 14:53:57","extension":"png","order_by":24,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":6376,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage14.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/7ea96b9e7bb60ea577619c3a.png"},{"id":92877635,"identity":"09bb3c8b-a8cc-4d1a-bec7-1826c7489b1d","added_by":"auto","created_at":"2025-10-06 15:01:58","extension":"png","order_by":25,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":32194,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage15.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/fad1b4991e896d8a70b31234.png"},{"id":92877174,"identity":"4109dae5-2e65-42c2-bcc2-39e1400bbade","added_by":"auto","created_at":"2025-10-06 14:54:01","extension":"png","order_by":26,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":20717,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage16.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/2c97587dc40c3fb79266ef36.png"},{"id":92877135,"identity":"f42e8d58-4934-423c-b65a-f09acbb63754","added_by":"auto","created_at":"2025-10-06 14:53:58","extension":"png","order_by":27,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":75408,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage2.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/57249ceb5566b91d383eca64.png"},{"id":92877144,"identity":"a55bad3a-0139-4df1-813e-f01347a0ceda","added_by":"auto","created_at":"2025-10-06 14:53:59","extension":"png","order_by":28,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":71627,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage3.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/b46433a802a10c7fc39ab3cd.png"},{"id":92877185,"identity":"7467a422-73a6-4411-8826-3d14daf57cf2","added_by":"auto","created_at":"2025-10-06 14:54:02","extension":"png","order_by":29,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":62699,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage4.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/3c285011faafc91d05ed00dd.png"},{"id":92877155,"identity":"f18ccaba-02e6-4f44-aea3-960e8fde323c","added_by":"auto","created_at":"2025-10-06 14:54:00","extension":"png","order_by":30,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":57790,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage5.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/f2bdefa5b969f5cf6bba1f1c.png"},{"id":92877138,"identity":"f60358b9-1597-47ee-9a5c-2c7e4c19cbde","added_by":"auto","created_at":"2025-10-06 14:53:59","extension":"png","order_by":31,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":61113,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage6.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/b095bac130086474495fe1a6.png"},{"id":92877173,"identity":"10a98eb7-9b89-4c2c-878b-4b08c0b58eb1","added_by":"auto","created_at":"2025-10-06 14:54:01","extension":"png","order_by":32,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":19414,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage7.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/5860bf2a30ed497de08688d5.png"},{"id":92877184,"identity":"930878ba-75f0-4ad0-8d2c-9b3a0104435a","added_by":"auto","created_at":"2025-10-06 14:54:02","extension":"png","order_by":33,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":89790,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage8.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/2f5f31ea809303fdfe748ef7.png"},{"id":92877177,"identity":"8c5cfd5d-c8e6-460d-a068-f7454006c2e2","added_by":"auto","created_at":"2025-10-06 14:54:01","extension":"png","order_by":34,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":63252,"visible":true,"origin":"","legend":"","description":"","filename":"Onlinefloatimage9.png","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/4ff48d7590873bad1d933f11.png"},{"id":92877179,"identity":"2cc39364-aaa6-4a31-830d-817d392f32e6","added_by":"auto","created_at":"2025-10-06 14:54:01","extension":"xml","order_by":35,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":147086,"visible":true,"origin":"","legend":"","description":"","filename":"b32a7da3a7fe4fa7ae7c718b0f30eb581structuring.xml","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/fa66c5a4669d740f46eb5fb2.xml"},{"id":92877130,"identity":"00c8765a-6933-45be-ac25-db28820b9d32","added_by":"auto","created_at":"2025-10-06 14:53:58","extension":"html","order_by":36,"title":"","display":"","copyAsset":false,"role":"acdc-reference","size":167517,"visible":true,"origin":"","legend":"","description":"","filename":"earlyproof.html","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1/9f8f262c1987bcdb9c459769.html"},{"id":92877642,"identity":"8aebe7fb-6c4a-4572-9125-7d64b71a6a34","added_by":"auto","created_at":"2025-10-06 15:02:05","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":844540,"visible":true,"origin":"","legend":"","description":"","filename":"EnergyefficientComputationalDataOffloadingforProlonginglifetimeofWSNAMachineLearningFramework.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7482296/v1_covered_bb367493-d584-436e-98b3-80841b7fa08f.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"\u003cp\u003eEnergy efficient Computational Data Offloading for Prolonging Lifetime of WSN: A Machine Learning Framework\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"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":"wireless-personal-communications","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wire","sideBox":"Learn more about [Wireless Personal Communications](https://www.springer.com/journal/11277)","snPcode":"11277","submissionUrl":"https://submission.nature.com/new-submission/11277/3","title":"Wireless Personal Communications","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"Cluster Head, Data Offloading, Energy, Relevant Components Analysis, Distance Metric Learning, WSN Lifetime","lastPublishedDoi":"10.21203/rs.3.rs-7482296/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7482296/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn a cluster based hierarchical wireless sensor networks (WSNs), multiple sensor nodes are grouped together to build a cluster. Here, a cluster head (CH) node is selected to perform the computational task for aggregating the sensor collected data and forward the aggregated data towards a network gateway for further analysis. Thus, the computational data offloading from CH node is an important task for designing an energy efficient WSN. In order to improve the energy efficiency of the WSN, a computational data offloading technique is proposed in this paper under hierarchical arrangements of the sensor nodes. The proposed approach distributes the task of computational data aggregation into some other member sensor nodes, instead of only relying on the CH node of a cluster. In this proposed approach, the relevant component analysis (RCA) is applied to learn intra-cluster distance metric, based on the selected features of sensor nodes. After performing RCA, the distance metric learning (DML) approach is used to find a nearest neighbour node from a sensor node to aggregate the collected data, which is either a CH or any other member sensor node placed closer. To connect any other member sensor node with any sensor node, a temporary link has been created to find a route to reach data towards the nearest sensor node. The proposed work improves the energy efficiency of the network, and that in turn can prolong the WSN lifetime. Various simulation results show the superiority of the proposed approach over state-of-the-art works.\u003c/p\u003e","manuscriptTitle":"Energy efficient Computational Data Offloading for Prolonging Lifetime of WSN: A Machine Learning Framework","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-06 14:53:24","doi":"10.21203/rs.3.rs-7482296/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision requested","date":"2025-11-13T20:54:08+00:00","index":"","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-11-11T20:46:48+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"76983785656683909385563789535472634824","date":"2025-09-25T20:42:30+00:00","index":"hide","fulltext":""},{"type":"editorInvitedReview","content":"","date":"2025-09-25T12:09:02+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"148615945874000961225777139353665710041","date":"2025-09-24T11:43:05+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"13771024128636991645725725682560294085","date":"2025-09-24T05:46:12+00:00","index":"hide","fulltext":""},{"type":"reviewerAgreed","content":"143201281257698164209950877106790208360","date":"2025-09-24T04:10:28+00:00","index":"hide","fulltext":""},{"type":"reviewersInvited","content":"","date":"2025-09-23T20:41:00+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-09-09T13:57:14+00:00","index":"","fulltext":""},{"type":"checksComplete","content":"","date":"2025-09-09T13:56:01+00:00","index":"","fulltext":""},{"type":"submitted","content":"Wireless Personal Communications","date":"2025-08-28T16:47:45+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"wireless-personal-communications","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"wire","sideBox":"Learn more about [Wireless Personal Communications](https://www.springer.com/journal/11277)","snPcode":"11277","submissionUrl":"https://submission.nature.com/new-submission/11277/3","title":"Wireless Personal Communications","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false}}],"origin":"","ownerIdentity":"aec71961-2570-40dc-aa79-d1c41b83fd19","owner":[],"postedDate":"October 6th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-12-01T21:08:15+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-06 14:53:24","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7482296","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7482296","identity":"rs-7482296","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}