Amin Farhan, Abbasi Rashid, Mateen Abdul, Ali Abid Muhammad, Khan Salabat
Department of Information and Communication Engineering, Yeungnam University, Gyeongsan 38541, Korea.
School of Electrical Engineering, Anhui Polytechnic University, Jiujiang District, Wuhu 241000, China.
Sensors (Basel). 2022 Oct 21;22(20):8072. doi: 10.3390/s22208072.
The Internet of Things (IoT) devices generate a large amount of data over networks; therefore, the efficiency, complexity, interfaces, dynamics, robustness, and interaction need to be re-examined on a large scale. This phenomenon will lead to seamless network connectivity and the capability to provide support for the IoT. The traditional IoT is not enough to provide support. Therefore, we designed this study to provide a systematic analysis of next-generation advancements in the IoT. We propose a systematic catalog that covers the most recent advances in the traditional IoT. An overview of the IoT from the perspectives of big data, data science, and network science disciplines and also connecting technologies is given. We highlight the conceptual view of the IoT, key concepts, growth, and most recent trends. We discuss and highlight the importance and the integration of big data, data science, and network science along with key applications such as artificial intelligence, machine learning, blockchain, federated learning, etc. Finally, we discuss various challenges and issues of IoT such as architecture, integration, data provenance, and important applications such as cloud and edge computing, etc. This article will provide aid to the readers and other researchers in an understanding of the IoT's next-generation developments and tell how they apply to the real world.
物联网（IoT）设备通过网络生成大量数据；因此，需要大规模重新审视效率、复杂性、接口、动态性、鲁棒性和交互性。这种现象将带来无缝的网络连接以及为物联网提供支持的能力。传统的物联网不足以提供支持。因此，我们开展了本研究，以对物联网的下一代进展进行系统分析。我们提出了一个系统的分类目录，涵盖了传统物联网的最新进展。从大数据、数据科学、网络科学学科以及连接技术的角度给出了物联网的概述。我们突出了物联网的概念视图、关键概念、发展情况和最新趋势。我们讨论并强调了大数据、数据科学和网络科学的重要性与整合，以及人工智能、机器学习、区块链、联邦学习等关键应用。最后，我们讨论了物联网的各种挑战和问题，如架构、整合、数据溯源，以及云与边缘计算等重要应用。本文将帮助读者和其他研究人员理解物联网的下一代发展，并说明它们如何应用于现实世界。
