Advances and emerging challenges in cognitive internet-of-things

Li, Feng, Lam, Kwok-Yan, Li, Xiuhua, Sheng, Zhengguo, Hua, Jingyu and Wang, Li (2019) Advances and emerging challenges in cognitive internet-of-things. IEEE Transactions on Industrial Informatics. p. 1. ISSN 1551-3203

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Abstract

The evolution of IoT devices and their adoption in new generation intelligent systems has generated a huge demand for wireless bandwidth. This bandwidth problem is further exacerbated by another characteristics of IoT applications, i.e. IoT devices are usually deployed in massive number, thus leading to an awkward scenario that many bandwidth-hungry devices are chasing after the very limited wireless bandwidth within a small geographic area. As such, cognitive radio has received much attention of there search community as an important means for addressing the bandwidth needs of IoT applications. When enabling IoT devices with cognitive functionalities including spectrum sensing, dynamic spectrum accessing, circumstantial perceiving and self-learning, one will also need to fully study other critical issues such as standardization, privacy protection and heterogeneous coexistence. In this paper, we investigate the structural frameworks and potential applications of cognitive IoT. We further discuss the spectrum-based functionalities and heterogeneity for cognitive IoT. Security and privacy issues involved in cognitive IoT are also investigated. Finally, we present the key challenges and future direction of research on cognitiveradio-based IoT networks.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Advanced Communications, Mobile Technology and IoT (ACMI)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication
Depositing User: Zhengguo Sheng
Date Deposited: 13 Nov 2019 09:17
Last Modified: 12 Dec 2019 13:22
URI: http://sro.sussex.ac.uk/id/eprint/87994

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