Distributed Energy Efficient Clustering Routing Protocol for Wireless Sensor Networks Using Affinity Propagation And Fuzzy Logic

Distributed Energy Efficient Clustering Routing Protocol for Wireless Sensor Networks Using Affinity Propagation And Fuzzy Logic | 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 Distributed Energy Efficient Clustering Routing Protocol for Wireless Sensor Networks Using Affinity Propagation And Fuzzy Logic Chu-hang Wang, Huang-shui Hu, Zhi-gang Zhang, Yu-xin Guo, Jin-feng Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-706673/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 5 You are reading this latest preprint version Abstract Organizing nodes into clusters and forwarding data to the Base Station (BS) in clustering routing protocols have been widely utilized to improve the energy efficiency, scalability and stability of Wireless Sensor Networks (WSN). Making decisions on how many clusters are formed, which nodes are selected as Cluster Heads (CHs) and who become the relay nodes significantly impact the network performance. Therefore, a Distributed clustering routing protocol combined Affinity Propagation (AP) with Fuzzy Logic called DAPFL is proposed in this paper, which considers not only energy efficiency but also energy balance to extend the network lifetime. In DAPFL, AP is firstly used to determine the number of clusters and select the best CHs simultaneously based on residual energy, distance between nodes. Then the optimal next-hop CHs are chosen by using fuzzy logic system with residual energy, data length and distance to BS as descriptors. Simulations in different scenarios are carried out to verify the effectiveness of DAPFL, and the results show that DAPFL exhibits the promising performance in terms of network energy consumption, standard deviation of residual energy, network throughput and lifetime, compared with the up-to-date distributed clustering routing protocols EEFUC, EEFRP, LEACH-AP and APSA. Geometry Theoretical Computer Science WSNs Affinity propagation Fuzzy logic Energy balance and efficiency Multi-hop routing Full Text Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Minor Revision 28 Mar, 2022 Reviews received at journal 08 Mar, 2022 Reviewers invited by journal 19 Nov, 2021 Editor assigned by journal 03 Aug, 2021 First submitted to journal 10 Jul, 2021 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-706673","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":64679928,"identity":"6c46ebd7-2173-4848-84d6-57958a795b27","order_by":0,"name":"Chu-hang Wang","email":"","orcid":"","institution":"Changchun Normal University","correspondingAuthor":false,"prefix":"","firstName":"Chu-hang","middleName":"","lastName":"Wang","suffix":""},{"id":64679929,"identity":"442a4044-bc6c-4598-825d-09794fb9299b","order_by":1,"name":"Huang-shui Hu","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAArUlEQVRIiWNgGAWjYBACAwYeBoaEChsefv4GUrR8OJMmIznjAAlaGGe2HbYxaEggUou5RO7hzzxnzvMYMBxg/PAxhwgtljPy0qR5Km7zmDM3MEvO3EaMw27kmDHznLnNY9lwgI2Zl0gtxp95287xGBxIIF6LgeTMtgOkaDnzxkziw5lkHskZB5uJ9MvxHOMPCRV29vz8zQc/fCRGCxJgbCBN/SgYBaNgFIwC3AAAQtA3r67kJUsAAAAASUVORK5CYII=","orcid":"","institution":"Changchun University Tourism College","correspondingAuthor":true,"prefix":"","firstName":"Huang-shui","middleName":"","lastName":"Hu","suffix":""},{"id":64679930,"identity":"83bd1ede-ad13-4d5c-b3eb-bc0defe71f8b","order_by":2,"name":"Zhi-gang Zhang","email":"","orcid":"","institution":"Changchun University Tourism College","correspondingAuthor":false,"prefix":"","firstName":"Zhi-gang","middleName":"","lastName":"Zhang","suffix":""},{"id":64679931,"identity":"da5c6ee5-7043-44eb-bdde-e6b6be4d88bd","order_by":3,"name":"Yu-xin Guo","email":"","orcid":"","institution":"Changchun University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Yu-xin","middleName":"","lastName":"Guo","suffix":""},{"id":64679932,"identity":"d32f2c1d-7c50-407c-a05e-ba4d86007531","order_by":4,"name":"Jin-feng Zhang","email":"","orcid":"","institution":"Changchun University Tourism College","correspondingAuthor":false,"prefix":"","firstName":"Jin-feng","middleName":"","lastName":"Zhang","suffix":""}],"badges":[],"createdAt":"2021-07-11 02:37:28","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-706673/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-706673/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":15792764,"identity":"b2e4f92a-277b-44e3-9ad7-6d4fb6eb62db","added_by":"auto","created_at":"2021-11-22 17:11:29","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":2609418,"visible":true,"origin":"","legend":"","description":"","filename":"Dstributedenergyefficientclusteringrouting.pdf","url":"https://assets-eu.researchsquare.com/files/rs-706673/v1_covered.pdf"}],"financialInterests":"","formattedTitle":"\u003cp\u003eDistributed Energy Efficient Clustering Routing Protocol for Wireless Sensor Networks Using Affinity Propagation And Fuzzy Logic\u003c/p\u003e","fulltext":[{"header":"Full Text","content":"This preprint is available for \u003ca href='/article/rs-706673/latest.pdf' target='_blank'\u003edownload as a PDF\u003c/a\u003e."}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":true,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"soft-computing","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"soco","sideBox":"Learn more about [Soft Computing](https://www.springer.com/journal/500)","snPcode":"500","submissionUrl":"https://submission.nature.com/new-submission/500/3","title":"Soft Computing","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"Springer Hybrid","inReviewEnabled":true,"inReviewRevisionsEnabled":false},"keywords":"WSNs, Affinity propagation, Fuzzy logic, Energy balance and efficiency, Multi-hop routing","lastPublishedDoi":"10.21203/rs.3.rs-706673/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-706673/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Organizing nodes into clusters and forwarding data to the Base Station (BS) in clustering routing protocols have been widely utilized to improve the energy efficiency, scalability and stability of Wireless Sensor Networks (WSN). 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