Context-aware computing for the Internet of Things (IoT) is a prominent research area focused on enabling smart systems to perceive, interpret, and respond to dynamic environmental, user, and device contexts. Research papers in this domain explore techniques for context acquisition, modeling, reasoning, and dissemination to support intelligent decision-making in IoT applications such as smart homes, healthcare, transportation, and industrial automation. Key contributions include ontology-based context representation, machine learning-driven context prediction, middleware frameworks for context management, and edge/fog-assisted real-time processing. Recent studies also address challenges related to scalability, heterogeneity of IoT devices, uncertainty in context data, privacy, and security. By integrating AI, semantic technologies, and distributed computing, context-aware IoT systems can provide adaptive, personalized, and efficient services, enhancing user experience and operational effectiveness across diverse smart environments.