End-to-End Architectural Assessment Of Wireless IoT And Cloud Computing Systems

6 Jan
Posted on Author

Authors: Tanvika Malrenu

Abstract: The rapid advancement of Internet of Things (IoT) technologies and cloud computing has fostered the development of highly integrated systems that enable real-time data acquisition, processing, and intelligent decision-making. This review presents an end-to-end architectural assessment of wireless IoT systems and their integration with cloud computing platforms. It begins by exploring the fundamental components of IoT networks, including sensors, actuators, and communication protocols, highlighting the heterogeneity and scalability challenges that arise from diverse application scenarios such as smart homes, healthcare monitoring, industrial automation, and agriculture. The study further examines cloud computing architectures, service models, and deployment strategies that support the high-volume data processing and storage requirements of IoT ecosystems. A critical evaluation of end-to-end IoT-cloud architectures is conducted, focusing on the interactions between device layers, network layers, edge computing, and cloud processing layers. Key performance metrics, including latency, throughput, energy efficiency, and reliability, are analyzed to identify design trade-offs and optimization opportunities. Additionally, security and privacy concerns are addressed, emphasizing authentication, data protection, and secure communication mechanisms essential for safeguarding sensitive information. Emerging trends, including edge and fog computing, artificial intelligence-enabled IoT systems, and the integration of 6G technologies, are discussed as future directions that can enhance system performance and adaptability. By synthesizing current research, practical case studies, and technological innovations, this review aims to provide system designers, researchers, and practitioners with a comprehensive understanding of architectural considerations, challenges, and strategies for developing efficient, secure, and scalable wireless IoT and cloud computing systems. Ultimately, this work contributes to guiding future research and facilitating the deployment of robust IoT-cloud solutions across diverse domains.

DOI: https://doi.org/10.5281/zenodo.18161448