Article ID Journal Published Year Pages File Type
4954326 Computer Communications 2017 8 Pages PDF
Abstract
The rapid development of Internet of Things (IoT) systems has escalated the demand of spectrum resources. However, most of the spectrum resources have been allocated to primary users and the residual ones may not meet the need. Cognitive radio technique has been proposed as a solution to address the problem of spectrum scarcity. The main cognitive radio functionality is accomplished in a cycle composed of spectrum sensing and spectrum sharing. In this paper, we develop a new cognitive radio spectrum sensing and sharing scheme for IoT systems. In order to ensure cooperative spectrum sensing and sharing, we have added a new concept, called reciprocal fairness, and used a game theoretical tool in the proposed scheme. To reason the adaptive spectrum sensing and sharing problems in IoT systems, game theory is well-suited and an effective way. The experimental result illustrates that our game-based approach can get a better spectrum utilization, which can make the IoT performance maximal. This result proves the proposed scheme efficient under dynamic cognitive radio based IoT system environments.
Related Topics
Physical Sciences and Engineering Computer Science Computer Networks and Communications
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