Improving Optical Network Efficiency: A Comprehensive Approach for Power Optimisation, Blocking Probability Reduction, and Resource Management Using the Modified Genetic Algorithm

Improving Optical Network Efficiency: A Comprehensive Approach for Power Optimisation, Blocking Probability Reduction, and Resource Management Using the Modified Genetic Algorithm | 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 Improving Optical Network Efficiency: A Comprehensive Approach for Power Optimisation, Blocking Probability Reduction, and Resource Management Using the Modified Genetic Algorithm Padmini Bhat, K.V.S.S.S.S Sairam This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6204366/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 Optical networks require effective resource allocation in Dense Wavelength Division Multiplexing (DWDM) networks for optimizing performance metrics such as blocking probability(BP), power economy(PE), and resource utilization(RU). This study evaluates Modified Genetic Algorithm (MGA) by comparing its performance with principal techniques like 2R,3R and All-Optical Wavelength Conversion (AOWC). MGA is used to improve Routing and Wavelength Assignment (RWA), minimising BP and enhancing RU via optimised selection of algorithms. The 2R and 3R regeneration systems combat signal degradation, therefore enhancing performance efficiency by reducing accumulated noise. AOWC facilitates dynamic wavelength reassignment, mitigating congestion and enhancing spectrum efficiency. Simulation results demonstrate that MGA takes minimum time to attain a desirable balance among BP, RU, and PE, establishing it as the most efficient method for mitigating congestion in high-traffic optical networks. These findings highlight the importance of combining intelligent optimisation algorithms with signal regeneration techniques to improve the sustainability of WDM networks. Modified Genetic Algorithm Resource Allocation Blocking Probability Power Cost All Optical Wavelength Conversio 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-6204366","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":428441655,"identity":"fb3391c6-d325-4edb-b5cb-f986c1b48783","order_by":0,"name":"Padmini Bhat","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA0UlEQVRIiWNgGAWjYHACA4YEBokEfgYgBQbMxGqRbCBJCxAkGBwg1lXm7Ie3bni4wyLP+PyBhw9+MNjJM7Dz4tdt2ZNWdiPxjESx2Y2EZMMehmTDBma+BPyuOpBjdiOxTSJx2w2GNGmgRxIYmHkM8Gs5/waiZXP/gfTfDAz1RGi5AbVlA0NCGjCsDhPWYjnjWRlIS7EE0C+SPQbHDdsIaTHnT95282dbXR5//5nEDz8qquX5+c8QcBiCyZMA5rLhVY+qhf0AIcWjYBSMglEwQgEAG7ZCrjohdQkAAAAASUVORK5CYII=","orcid":"","institution":"St. Joseph Engineering College (Affiliated to Visvesvaraya Technological University (VTU)","correspondingAuthor":true,"prefix":"","firstName":"Padmini","middleName":"","lastName":"Bhat","suffix":""},{"id":428441656,"identity":"f6dbcb55-bb15-4d60-9c8d-9d43f1550724","order_by":1,"name":"K.V.S.S.S.S Sairam","email":"","orcid":"","institution":"N.M.A.M. 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