An Improved and Stable Routing Protocol for Cognitive Radio Based IoT Networks

In recent years, the fusion of Cognitive Radio Networks (CRNs) and the Internet of Things (IoT) into Cognitive Radio Based IoT (CR-IoT) networks is a quite promising proposal. But, achieving a high level of stability for such networks is extremely challenging. In this work, we present an improved and stable Half-Duplex (HD) routing protocol with a unique sensing method and no Common Control Channel (CCC) that employs a compound accumulative routing metric to select the required Quality of Service (QoS) paths featured with the highest level of stability and maximal throughput. Moreover, the proposed protocol makes all the essential calculations while sending the Route Request Packet (RRQP) leading to reducing many overheads. Not only to this extent, but rather, the presented protocol introduces a path recovery technique during the HD data transmission stage. The simulation results demonstrate an explicit significant improvement over the most relevant protocol called the MultiCast-based Half Duplex Routing Protocol (MC-HDRP).