Interoperability in Internet of Things: Taxonomies and Open Challenges

Abstract

This research investigates the existing taxonomies of interoperability within the Internet of Things (IoT), focusing on the critical gaps and challenges that impede seamless integration across various IoT systems, particularly in the healthcare sector. It addresses the key issue of disparate standards and protocols that complicate interoperability, utilizing a comprehensive analysis of qualitative and quantitative data, including case studies, technical specifications, and user experiences. The research identifies significant barriers such as data silos, inconsistent protocol adoption, and the lack of standardized frameworks, highlighting a need for cohesive solutions that foster interoperability. The findings reveal that enhancing interoperability can lead to improved patient outcomes, greater operational efficiency, and reduced costs, thereby underscoring the importance of standardized communication between devices and systems in healthcare. The implications of this study extend beyond technical advancements, suggesting that addressing interoperability challenges could catalyze a paradigm shift towards more integrated, patient-centered healthcare delivery models. By proposing actionable solutions, this research not only contributes to the academic discourse on IoT interoperability but also offers practical insights for stakeholders aiming to optimize the use of IoT technology in health-related applications.