Amin Farhan, Abbasi Rashid, Khan Salabat, Abid Muhammad Ali, Mateen Abdul, de la Torre Isabel, Kuc Castilla Angel, Garcia Villena Eduardo
School of Computer Science and Engineering, Yeungnam University, Gyeongsan, Republic of South Korea.
College of Computer Science and Artificial Intelligence, Wenzhou University, Wenzhou, China.
PeerJ Comput Sci. 2024 Oct 25;10:e2434. doi: 10.7717/peerj-cs.2434. eCollection 2024.
The Internet of Things (IoT) is a sophisticated network of objects embedded with electronic systems that enable devices to collect and exchange data. IoT is a recent trending leading technology and changing the way we live. However, it has several challenges especially efficiency, architecture, complexity, and network topology. The traditional technologies are not enough to provide support. It is evident from the literature that complex networks are used to study the topology and the structure of a network and are applied to modern technologies. Thus, the capability of powerful computational tools and the existence of theoretical frameworks enable complex networks to derive new approaches in analyzing IoT-based technologies in terms of improving efficiency, architecture, complexity, and topology. In this direction, limited research has been carried out. The integration aspect remains a key challenge. Therefore, in order to fill this gap. Herein, we design a comprehensive literature review. In this research effort, we explore a newly leading emerging technology named the Social Internet of Things (SIoT). It is developed to overcome the challenges in IoT. We discuss the importance and the key applications of SIoT. We first presented a conceptual view along with a recent technological roadmap. The big data play an important role in the modern world. We discuss big data and the 5 Vs along with suitable applications and examples. Then, we highlighted the key concepts in complex networks, scale-free, random networks, and small-world networks. We explored and presented various graph models and metrics aligned with social networks and the most recent trends. The novelty of this research is to propose a synergy of complex networks to the IoT, SIoT, and big data together. We discuss the advantages of integration in detail. We present a detailed discussion on complex networks emerging technologies and cyber-physical systems (CPS). Briefly, our literature review covers the most recent advancements and developments in 10 years. In addition, our critical analysis is based on up-to-date surveys and case studies. Finally, we outline the impact of recent emerging technologies on challenges applications, and solutions for the future. This paper provides a good reference for researchers and readers in the IoT domain.
物联网(IoT)是一个由嵌入电子系统的对象组成的复杂网络,这些电子系统使设备能够收集和交换数据。物联网是最近一种流行的前沿技术,正在改变我们的生活方式。然而,它面临着几个挑战,特别是效率、架构、复杂性和网络拓扑方面。传统技术不足以提供支持。从文献中可以明显看出,复杂网络被用于研究网络的拓扑结构,并应用于现代技术。因此,强大的计算工具的能力和理论框架的存在使复杂网络能够在提高效率、架构、复杂性和拓扑方面推导出分析基于物联网技术的新方法。在这个方向上,已经开展了有限的研究。集成方面仍然是一个关键挑战。因此,为了填补这一空白,我们在此设计了一项全面的文献综述。在这项研究工作中,我们探索了一种新的前沿新兴技术,即社交物联网(SIoT)。它的开发是为了克服物联网中的挑战。我们讨论了社交物联网的重要性和关键应用。我们首先提出了一个概念视图以及最近的技术路线图。大数据在现代世界中发挥着重要作用。我们讨论了大数据和5V以及合适的应用和示例。然后,我们强调了复杂网络、无标度网络、随机网络和小世界网络中的关键概念。我们探索并展示了与社交网络和最新趋势相关的各种图模型和指标。这项研究的新颖之处在于将复杂网络与物联网、社交物联网和大数据协同起来。我们详细讨论了集成的优势。我们对复杂网络新兴技术和网络物理系统(CPS)进行了详细讨论。简而言之,我们的文献综述涵盖了10年来的最新进展和发展。此外,我们的批判性分析基于最新的调查和案例研究。最后,我们概述了最近新兴技术对未来挑战、应用和解决方案的影响。本文为物联网领域的研究人员和读者提供了很好的参考。