Research papers in IoT standardization focus on the development of common frameworks, reference models, and globally accepted protocols that ensure interoperability, security, and scalability across diverse IoT systems. These works examine the contributions of major standardization bodies such as ISO/IEC, IEEE, IETF, ITU-T, ETSI, and oneM2M, which play critical roles in defining communication standards, data representation models, security guidelines, and quality-of-service (QoS) benchmarks. Studies also explore widely adopted IoT reference architectures such as the ISO/IEC IoT Reference Model, ETSI M2M framework, and the Industrial Internet Reference Architecture (IIRA), analyzing how they address challenges of heterogeneity, data exchange, device management, and seamless integration across domains. Standardization research emphasizes the importance of lightweight communication protocols like MQTT, CoAP, 6LoWPAN, and OPC-UA, as well as emerging frameworks for semantic interoperability using ontologies and metadata-driven models. Security and privacy standards receive significant attention, with guidelines focusing on encryption, identity management, zero-trust frameworks, and compliance with regulatory mandates such as GDPR, HIPAA, and NIST guidelines. Furthermore, research investigates standardization for domain-specific applications such as smart cities, e-health, industrial IoT, and intelligent transportation, where diverse devices and services must communicate through uniform specifications. Advanced works also highlight the challenges of aligning global standards in the face of rapidly evolving technologies such as 5G, 6G, blockchain, and AI-driven IoT systems, which demand dynamic and adaptive standardization efforts. Collectively, these studies underline the critical role of IoT standardization in fostering interoperability, trust, and global adoption, while providing a roadmap for harmonized, secure, and future-ready IoT ecosystems.