Efficient Channel Management Scheme for Cognitive Radio based Internet of Things

Abstract

Internet of Things (IoT) are expected to enable communication between numerous devices in homes, workplaces, agricultural areas and industries, resulting in a significant rise in infrastructure requirements for IoT. Wireless Sensor Network (WSN) is an essential component of IoT systems. The number of sensor nodes in the WSNs will grow rapidly as IoT expands. As these nodes interact wirelessly, they need frequency spectrum for communication, resulting in a growth in demand for frequency spectrum but not in its availability. To improve spectrum utilization, the proposed research describes a Cognitive Radio (CR) based channel assignment method for the WSNs. The suggested technique improves the channel utilization efficiency by distributing available frequency bands to wireless sensor nodes based on their bandwidth requirements. When the number of accessible channels is smaller than the number of active nodes, the presented method outperformed the previous schemes in terms of the number of successfully reporting nodes. For instance, 13 sensor nodes reported successfully for the proposed scheme when the number of accessible channels were 15 whereas not more than 7 nodes reported successfully in case of previous schemes.