Internet of Things (IoT): A review of enabling technologies, challenges, and open research issues

By Alem Čolaković, Mesud Hadzialic. Comput. Networks, 2018

679 citations recorded by the source corpus.

Abstract IoT (Internet of Things) is a new paradigm which provides a set of new services for the next wave of technological innovations. IoT applications are nearly limitless while enabling seamless integration of the cyber-world with the physical world. However, despite the enormous efforts of standardization bodies, alliances, industries, researchers and others, there are still numerous problems to deal with in order to reach the full potential of IoT. These issues should be considered from various aspects such as enabling technologies, applications, business models, social and environmental impacts. In focus of this paper are open issues and challenges considered from the technological perspective. Just for clarification, we put in light different visions that stand behind this paradigm in order to facilitate a better understanding of the IoT's features. Furthermore, this exhaustive survey provides insights into the state-of-the-art of IoT enabling and emerging technologies. The most relevant among them are addressed with some details. The main scope is to deliver a comprehensive overview of open issues and challenges to be tackled by future research. We provide some insights into specific emerging ideas in order to facilitate future research. Also, this paper brings order in the existing literature by classifying contributions according to different research topics.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/00780882727692189320fd4a31fcb7f9c1751953

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Citations in the corpus

Digital Twin: Values, Challenges and Enablers From a Modeling Perspective (2019, background): “The availability of high-speed Wi-Fi internet connection, digital machines, low-cost sensors along with the development of ML algorithms to perform real-time analysis has contributed to enabling IoT [400], [401].”
Digital Twin: Enabling Technologies, Challenges and Open Research (2020, methodology): “The descriptions of enabling technologies for data analytics [73] and he classiﬁcation scheme outlined by [62] are sumarised in Table 3, below.”
Machine Learning in IoT Security: Current Solutions and Future Challenges (2019, methodology): “2017 [46] Trust models for service management in IoT N/A Coverage of different aspects of security with solutions based on ML and DL 2018 [47] Open issues and challenges in IoT and enabling technologies Sec.”
A Survey on the Internet of Things (IoT) Forensics: Challenges, Approaches, and Open Issues (2020, background): “In general, nearly every aspect in the IoT has been examined in extensive literature reviews [16]–[19], starting from the key enabling technologies and architectural elements, to ﬁelds of deployment and open challenges.”