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Cognitive Radio (CR) is a promising technology that can alleviate the spectrum shortage problem by enabling unlicensed users equipped with CRs to coexist with incumbent users in licensed spectrum bands while causing no interference to incumbent communications. In this paper, we propose a new approach which uses CR for improving real-time application performance related to only one cognitive radio mobile terminal (CRMT). We also present a synthesis of research relating to dynamic spectrum allocation and sharing in the context of CR networks using multi-agent systems. In our future work, we will seek to improve real-time application performance related to many CRMT.

Internet of things (IoT) is a worldwide network of interconnected objects. However, the things-oriented, internet-oriented, semantic-oriented, and tactile-oriented versions of IoT are meaningless if the IoT objects are not equipped with intelligence. For this, current research trends are oriented towards cognitive radio. This paper presents IoT, its definition, its potential applications, its challenges, as well as its enabling technologies. Among these technologies, particular importance is given to cognitive radio. The overall objective of this paper is to make a global synthesis on the motivations as well as on the challenges to be raised by the integration of cognitive radio in IoT in order to serve as self-reconfigurable solutions for a certain number of IoT applications.