Internet of Things in Computer Science: Architecture, Applications, Security Challenges and Future Perspectives

Abstract

The Internet of Things (IoT) has emerged as a significant area of computer science by connecting physical objects, sensors, machines and everyday devices to communication networks and computational systems. IoT enables physical objects to collect, exchange and process data, creating an environment in which computational intelligence extends beyond conventional computers and mobile devices. The rapid development of wireless communication, embedded systems, cloud computing, data analytics and machine learning has accelerated the growth of IoT applications in healthcare, agriculture, manufacturing, transportation, smart cities, energy management and domestic environments. This research paper examines the conceptual foundations and technological architecture of IoT, focusing on sensing, communication, processing, storage and application layers. It analyzes the role of embedded systems, wireless networks, cloud computing, edge computing and data analytics in creating intelligent connected environments. The paper also discusses important IoT applications and examines challenges associated with interoperability, scalability, privacy, security, energy consumption and data management. Security is particularly significant because IoT devices frequently possess limited computational resources while remaining continuously connected to networks. The paper argues that the future development of IoT depends upon the integration of intelligent computing, secure communication, distributed processing and efficient device management. By 2018, research had already begun moving from conventional cloud-centric IoT architectures toward fog and edge computing models capable of processing information closer to data-generating devices. The study concludes that IoT represents not merely an expansion of Internet connectivity but a fundamental transformation of computer science toward pervasive, distributed and context-aware computing.