Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Vaithianathan, Krishnakumar; Pernabas, Julian Benadit; Lamani, Manjunath Ramanna; Venkatachalam, K.; Askar, S.S.; Abouhawwash, Mohamed Title A name given to the resource Pearson correlation-based clustering with collaborative task allocation in 5G Industrial Internet of Things divergent health networks Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Scientific Reports;Volume;15;Issue;1;Article No.;43344; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1038/s41598-025-27366-2" target="_blank" rel="noreferrer noopener">https://doi.org/10.1038/s41598-025-27366-2</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105024216086?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105024216086?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Vaithianathan K., Department of Computer Engineering, Karaikal Polytechnic College, Varichikudy, Puducherry, Karaikal, 609609, India; Pernabas J.B., Department of Computer Science and Engineering, CHRIST (Deemed to be University), Kengeri Campus, Karnataka, Bangalore, 560074, India; Lamani M.R., Department of Computer Science and Engineering, Moodlakatte Institute of Technology Kundapura, Karnataka, Moodalkatte, 576217, India; Venkatachalam K., Department of Applied Cybernetics, Faculty of Science, University of Hradec Krov Hradec Krov 50003, Czech Republic; Askar S.S., Department of Statistics and Operations Research, College of Science, King Saud University, P.O. Box 2455, Riyadh, 11451, Saudi Arabia; Abouhawwash M., Department of Industrial and Systems Engineering, King Fahd University of Petroleum &amp; Minerals, Dhahran, 31261, Saudi Arabia, Interdisciplinary Research Center for Smart Mobility and Logistics (IRC-SML), King Fahd University of Petroleum &amp; Minerals, Dhahran, 31261, Saudi Arabia Description An account of the resource Simultaneous task allocation is crucial for enhancing service quality in Industrial Internet of Things (IIoT) environments. The distribution and management of tasks remain among the biggest challenges in the IIoT era. Efficient allocation strategies are needed to enable transparent network configurations and maximize task throughput. Although recent methods address the dynamic management of objects, they often overlook the correlations between tasks and their associated functionalities. This paper introduces a novel Connected Harmonical Adaptive Task Allocation (CHATA) model for IIoT health networks to ensure fair task distribution. CHATA leverages similarity measures of object functionalities to identify the most suitable object to perform each task. Simulations conducted in NS-3 demonstrate that CHATA achieves up to 90% allocation efficiency in 5G Radio Access Technologies IIoT health environments and significantly outperforms recent approaches in task assignment performance. The Author(s) 2025. Subject The topic of the resource 5G; Clustering; IIoT-health; Task allocation Publisher An entity responsible for making the resource available Nature Research Relation A related resource ISSN: 20452322; Language A language of the resource English Type The nature or genre of the resource Article Rights Information about rights held in and over the resource All Open Access; Gold Open Access; Green Open Access Format The file format, physical medium, or dimensions of the resource online