Fuzzy C Means Clustering and Ant Colony Optimization based Routing Protocol for Underwater Wireless Sensor Networks

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This preprint presents FACOCRP, a routing protocol for underwater wireless sensor networks that integrates Fuzzy C Means (FCM) clustering with Ant Colony Optimization (ACO) for inter-cluster communication to a surface station. The authors describe cluster formation and cluster-head selection using cluster center considerations in an initial round and incorporating node residual energy for subsequent rounds, then using ACO to improve energy-efficient and reliable routing from cluster heads to the surface station. The paper reports improved performance over UWISN, SH-FEER, and MH-FEER, including reductions in energy consumption and increases in network lifetime, FND, and packets delivered. A major caveat explicitly stated is that the work is a preprint and has not been peer reviewed. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract Routing protocol based on Fuzzy C Means Clustering and Ant Colony Optimization for Underwater Wireless Sensor Networks (UWSN) is presented in this paper. The network consists of several underwater sensor nodes that transfer the data packets to the Surface Station (SS). Fuzzy C Means Clustering and Ant Colony Optimization based Routing Protocol (FACOCRP) for Underwater Wireless Sensor Networks encompasses cluster formation, selection of cluster heads, and inter-cluster routing protocol. The Fuzzy C Means (FCM) clustering technique is used to create clusters. Cluster heads are chosen by considering the center of the cluster into account in the first round. The leftover energy of underwater sensor nodes’ is considered for cluster head selection by keeping the same cluster from the second round. FACOCRP uses an Ant Colony Optimization (ACO) algorithm for energy-efficient and reliable inter-cluster communication from cluster heads to the surface station. The FACOCRP is better than UWISN, SH-FEER and MH-FEER for energy consumption up to 54.22%, for network lifetime up to 53.89%, for FND up to 39.44%, and packets transmitted to surface stations up to 73.73%.
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Fuzzy C Means Clustering and Ant Colony Optimization based Routing Protocol for Underwater 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 Fuzzy C Means Clustering and Ant Colony Optimization based Routing Protocol for Underwater Wireless Sensor Networks Hetal Panchal, Sachin Gajjar This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5922628/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 Routing protocol based on Fuzzy C Means Clustering and Ant Colony Optimization for Underwater Wireless Sensor Networks (UWSN) is presented in this paper. The network consists of several underwater sensor nodes that transfer the data packets to the Surface Station (SS). Fuzzy C Means Clustering and Ant Colony Optimization based Routing Protocol (FACOCRP) for Underwater Wireless Sensor Networks encompasses cluster formation, selection of cluster heads, and inter-cluster routing protocol. The Fuzzy C Means (FCM) clustering technique is used to create clusters. Cluster heads are chosen by considering the center of the cluster into account in the first round. The leftover energy of underwater sensor nodes’ is considered for cluster head selection by keeping the same cluster from the second round. FACOCRP uses an Ant Colony Optimization (ACO) algorithm for energy-efficient and reliable inter-cluster communication from cluster heads to the surface station. The FACOCRP is better than UWISN, SH-FEER and MH-FEER for energy consumption up to 54.22%, for network lifetime up to 53.89%, for FND up to 39.44%, and packets transmitted to surface stations up to 73.73%. Fuzzy C Means Clustering Cluster Head Selection Ant Colony Optimization Multihop Communication Routing Underwater Wireless Sensor Networks 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. 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