A Balanced Clustering Mechanism for Routing in Software Defined Wireless Sensor Networks

A Balanced Clustering Mechanism for Routing in Software Defined Wireless Sensor 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 Research Article A Balanced Clustering Mechanism for Routing in Software Defined Wireless Sensor Networks Nuhu Bello Kontagora, Muhammed Bashir Muazu, Habeeb Bello-Salau, and 4 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3972666/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 In conserving energy during routing in Wireless Sensor networks (WSN), Software Define Networking (SDN) was integrated into WSN and referred to as Software Defined Wireless Sensor Network (SDWSN). This is to exclude sensor nodes from routing decisions. Thus, enabling the SDN controller to handle hierarchical routing decisions. The existing WSN hierarchical routing protocols are not adequate for SDWSN due to their unbalanced characteristics in clustering and cluster head selection. In this regard, a Balanced Machine Learning-based Clustering (B-MLC) algorithm is proposed and compared with two closely related hierarchical algorithms (LEACH and FCM) for routing. The outcome indicated that, the B-MLC algorithm maintained a low average packet loss and is efficient in network lifetime elongation, with an average improvement of 60.4% and 89.8% respectively, over LEACH and FCM. Hence, the B-MLC can be adopted in SDWSN for complex monitoring applications. Wireless Sensor Network Software Defined Networking Clustering Routing Protocol Energy Efficiency Network Lifetime 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-3972666","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":274253038,"identity":"80a2a1bd-65ee-4832-b700-df22dcbefe1a","order_by":0,"name":"Nuhu Bello Kontagora","email":"","orcid":"","institution":"Federal University of Technology","correspondingAuthor":false,"prefix":"","firstName":"Nuhu","middleName":"Bello","lastName":"Kontagora","suffix":""},{"id":274253039,"identity":"150d1cfe-6b9c-4a36-9265-003cd19982c8","order_by":1,"name":"Muhammed Bashir Muazu","email":"","orcid":"","institution":"Ahmadu Bello 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