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 Conference Paper Faculty Publications- Conference Papers 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 Poornima, Sharon; Immanuel, Ashok Title A name given to the resource Self-Organizing Microservice Composition for IoT-Enabled Neonatal Monitoring 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 2025 IEEE 2nd International Conference on Advances in Modern Age Technologies for Health and Engineering Science, AMATHE 2025 - Proceedings; Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1109/AMATHE65477.2025.11081365" target="_blank" rel="noreferrer noopener">https://doi.org/10.1109/AMATHE65477.2025.11081365</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105012713432?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105012713432?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 Poornima S., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India; Immanuel A., CHRIST (Deemed to be University), Department of Computer Science, Bengaluru, India Description An account of the resource The fast-paced growth of the Internet of Things (IoT) has revolutionized several industries, including the delivery of healthcare applications, due to its ability to support realtime and automated applications. However, several key challenges are associated with the dynamic and complex nature of IoT environments, such as scalability, increased system complexity, and network instability. This paper presents a self-organizing microservice Composition Model created especially for healthcare systems using IoT to address these issues. The Model employs decentralized, local interactions inspired by bio-inspired mechanisms. These mechanisms enable the system to autonomously form complex service composites with minimal human intervention through emergent behaviour. The model leverages an ant agent to optimize bio-inspired mechanisms and a deep learning agent for autonomous service choreography, enhancing the system's flexibility, adaptability, and overall performance. A continuous neonatal monitoring case study illustrates how the model works in composing services in a self-organizing manner. This research contributes to the advancement of smart healthcare infrastructures by proposing an innovative framework that adapts to the evolving needs of IoT-driven healthcare applications. 2025 IEEE. Subject The topic of the resource Healthcare; IoT; Self-Organization; Service Composition Publisher An entity responsible for making the resource available Institute of Electrical and Electronics Engineers Inc. Relation A related resource ISBN: 979-833150103-7; Language A language of the resource English Type The nature or genre of the resource Conference paper Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online