Energy efficient wireless communication technique based on Cognitive Radio for Internet of Things

Due to the drastic growth and an upsurge in the wireless communication devices in the world in recent years, there is a high demand of uninterrupted and intelligent connectivity in a self-organising manner amongst the users. It becomes more challenging for the emerging users because of scarcity of bandwidth. To overcome the unforbidden challenges in the advanced technologies like smart cities, 5G and Internet of Things (IoT), Cognitive Radio provides the solution to achieve high throughput and continuous connectivity for reliable communication. A primary challenge in the Cognitive Radio (CR) technology is the identification of dependable Data Channels (DCHs) for Secondary Users (SUs) communication amongst the available channels, and the continuation of communication when the Primary Users (PUs) return. The objective of every SU is to intelligently choose reliable DCHs, thereby ensuring reliable connectivity and successful transfer of data frames across the cognitive networks. The proposed Reliable, Intelligent and Smart Cognitive Radio protocol consumes less computational time and transmits energy with high throughput, as compared to the benchmark Cognitive Radio MAC (CR-MAC) protocols. This paper provides new applications of CR technology for IoT and proposes new and effective solutions to the real challenges in CR technology that will make IoT more affordable and applicable. HighlightsWe introduce Novel Channel Selection Criteria for IoTCR ProtocolsWe introduce Backup Channel Techniques for the SUs when PUs turn ON on their respective channels.We propose a model for integration of IoT with CR technology.The proposed approach has achieved higher throughput and data rate as compared to other benchmark protocols.The proposed model can be utilised for other technologies such as Smart city, e-health, communication, 5G, it, IoE, etc., and make these technologies highly effective for the users around the world.