Khadam Umair, Davidsson Paul, Spalazzese Romina
Department of Computer Science and Media Technology, Malmö University, 20506 Malmö, Sweden.
Internet of Things and People Research Center, Malmö University, 20506 Malmö, Sweden.
Sensors (Basel). 2024 Oct 10;24(20):6511. doi: 10.3390/s24206511.
The use of Artificial Intelligence (AI) in Internet of Things (IoT) systems has gained significant attention due to its potential to improve efficiency, functionality and decision-making. To further advance research and practical implementation, it is crucial to better understand the specific roles of AI in IoT systems and identify the key application domains. In this article we aim to identify the different roles of AI in IoT systems and the application domains where AI is used most significantly. We have conducted a systematic mapping study using multiple databases, i.e., Scopus, ACM Digital Library, IEEE Xplore and Wiley Online. Eighty-one relevant survey articles were selected after applying the selection criteria and then analyzed to extract the key information. As a result, six general tasks of AI in IoT systems were identified: pattern recognition, decision support, decision-making and acting, prediction, data management and human interaction. Moreover, 15 subtasks were identified, as well as 13 application domains, where healthcare was the most frequent. We conclude that there are several important tasks that AI can perform in IoT systems, improving efficiency, security and functionality across many important application domains.
由于人工智能(AI)在提高物联网(IoT)系统效率、功能和决策能力方面的潜力,其在物联网系统中的应用已受到广泛关注。为了进一步推动相关研究和实际应用,深入了解人工智能在物联网系统中的具体作用并确定关键应用领域至关重要。在本文中,我们旨在确定人工智能在物联网系统中的不同作用以及人工智能应用最为显著的领域。我们使用多个数据库进行了系统映射研究,即Scopus、ACM数字图书馆、IEEE Xplore和Wiley Online。在应用选择标准后,我们挑选了81篇相关的综述文章,然后进行分析以提取关键信息。结果,确定了人工智能在物联网系统中的六项一般任务:模式识别、决策支持、决策与行动、预测、数据管理和人机交互。此外,还确定了15项子任务以及13个应用领域,其中医疗保健领域最为常见。我们得出结论,人工智能可以在物联网系统中执行多项重要任务,从而提高许多重要应用领域的效率、安全性和功能。