Published July 30, 2025 | Version CC-BY-NC-ND 4.0
Journal article Open

IoT-Based Social Device Network with Cloud Computing Architecture: A Systematic Review

Authors/Creators

  • 1. Department of Electronics and Communication Engineering, Lingaya's Vidyapeeth, Faridabad (Haryana), India.

Contributors

  • 1. Department of Electronics and Communication Engineering, Lingaya's Vidyapeeth, Faridabad (Haryana), India.
  • 2. Assistant Professor, Department of Electronics and Communication Engineering, Lingaya's Vidyapeeth, Faridabad (Haryana), India.

Description

Abstract: The Internet of Things (IoT) has redefined how devices interact, enabling a transition from isolated machine communication to dynamic, intelligent networks known as Social Device Networks (SDNs). These networks comprise interconnected devices that establish relationships based on context, proximity, functionality, or user preferences. With the growing need for efficient data handling, resource sharing, and real-time analytics, cloud computing has emerged as a key enabler of scalable, flexible, and cost-effective infrastructures for Internet of Things (IoT)- based Software-Defined Networks (SDNs). This systematic review examines the integration of Internet of Things (IoT)- based Software-Defined Networks (SDNs) with cloud computing architecture, focusing on their structural designs, data communication protocols, service models, and security mechanisms. By analysing scholarly articles published between 2013 and 2024—primarily from IEEE and other reputable databases—this paper synthesizes key findings, technological trends, and challenges faced in deploying such systems. We examine the evolution from traditional cloud-based systems to hybrid models that incorporate fog and edge computing to reduce latency and improve responsiveness in time-critical applications. The review also emphasizes the importance of secure communication protocols such as MQTT, CoAP, and AMQP for seamless device collaboration within social networks. In addition to identifying current gaps in security, privacy, and interoperability, this review highlights promising applications in healthcare, smart cities, industrial automation, and transportation. The convergence of AI with SDNs, along with the deployment of next-generation networks such as 5G, is expected to further enhance the performance and scalability of these systems. This paper offers a comprehensive foundation for future research and Development in IoT-enabled social device ecosystems powered by cloud computing.

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Additional details

Identifiers

DOI
10.35940/ijitee.G1106.14080725
EISSN
2278-3075

Dates

Accepted
2025-07-15
Manuscript received on 28 May 2025 | First Revised Manuscript received on 01 June 2025 | Second Revised Manuscript received on 19 June 2025 | Manuscript Accepted on 15 July 2025 | Manuscript published on 30 July 2025.

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