AODV routing protocol for Cognitive radio access based Internet of Things (IoT)

Proactive based RPL is the network layer routing protocol designed for route-discovery to transmit the constrained application data from leaf nodes (LLN) to the LLN boarder router (LBR). From LLN boarder router (LBR) to the destination that is connected to non-constrained networks, traditional wired or wireless network is used to transmit the application data. Due to the flexibility and robustness of wireless networks, it can be used to transmit the application data from LBR to non-constrained networks. Opportunistic access based cognitive radio networks can be the most promising networking technology to transmit the constrained IoT data opportunistically in licensed PU free channels from LLN-LBR to the non-constrained networks. In this paper, hybrid control channel based cognitive AODV routing protocol with directional antennas is proposed to discover the channel-route from the LBR to the destination that is connected within the Cognitive Radio Networks. Experimental results reveal that the proposed cognitive AODV protocol with directional antennas is outperformed in comparison with traditional Infrastructure based wireless networks.