Clustering-based Time efficient Concurrent Data Collection Network structure for Shared IoT Applications

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This preprint studies time-efficient concurrent data collection and transmission in shared IoT infrastructures where multiple application entities have similar data requirements and where devices may not directly reach base stations. The authors propose a clustering-based network design that divides devices into multiple clusters, performs concurrent data collection within each cluster, and then concurrently transmits cluster data to multiple base stations to reduce overall delay and transmission count. They validate the approach using extensive simulations showing improved efficiency in total time slots compared with existing concurrent data collection network structures, while explicitly noting the work is a preprint that has not undergone journal peer review. 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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Clustering-based Time efficient Concurrent Data Collection Network structure for Shared IoT Applications | 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 Clustering-based Time efficient Concurrent Data Collection Network structure for Shared IoT Applications Arvind Kumar, Rakesh Matam, Srinibas Swain, Somanath Tripathy This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6810155/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 Typical enterprise IoT implementation involves setting up of the entire infrastructure right from sensor devices to the cloud and is designed to operate in silos. When multiple entities of IoT applications with similar data requirements exist, each such entity must set up its own sensors, devices, gateways, etc., resulting in over-provisioning. This is specifically true for environments where sharing infrastructure is practical and beneficial. With hundreds of devices in a typical IoT network and multiple processes relying on their data, concurrent data collection in shared IoT infrastructure is a critical challenge. While recent algorithms have aimed to address the issue, they only consider network scenarios where devices can reach the base station(s) directly. As this is not always the case, and with device power constraints, data collection is done independently for each application. This paper presents a Clustering-based Time efficient design for Concurrent Data Collection Network structure in shared IoT applications. To solve this problem, the network is first divided into multiple clusters and then data collection is performed concurrently for each cluster. Later, the data is concurrently transmitted from each cluster to multiple base stations. The proposed network structure minimizes the delay in concurrent data collection and lowers the transmission count, which is validated through extensive simulation results. Through simulation, it is shown that the proposed network structure is efficient in terms of overall time slots as compared to existing concurrent data collection network structures. Shared IoT Applications Data Collection Concurrent Data Collection Time-efficient Data Collection 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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