Authors: Devansh Rithala
Abstract: Distributed wireless cloud–IoT architectures are increasingly critical in enabling real-time monitoring, data analytics, and intelligent decision-making across various industries, including smart cities, healthcare, industrial automation, and agriculture. However, the complexity, heterogeneity, and geographic distribution of these systems introduce significant operational risks that can compromise performance, reliability, and security. This article provides a comprehensive analysis of operational risks in distributed wireless cloud–IoT architectures, including hardware failures, network disruptions, cybersecurity threats, data integrity issues, and cloud service outages. It examines risk assessment and analysis techniques, such as fault tree analysis, failure mode effects analysis, and probabilistic modeling, to identify and prioritize vulnerabilities. The article also presents mitigation strategies, including redundancy, edge computing, network optimization, real-time monitoring, predictive maintenance, and security measures, while discussing challenges in implementation, such as scalability, interoperability, cost, and performance trade-offs. Future directions, including the integration of artificial intelligence, blockchain, next-generation wireless networks, and standardized risk management frameworks, are explored to enhance system resilience. By adopting a proactive and systematic approach to operational risk management, organizations can ensure reliability, efficiency, and sustainability in complex distributed wireless cloud–IoT ecosystems.
DOI: http://doi.org/10.5281/zenodo.18169504
