Adaptive Cognitive Radio-Enabled Spectrum Access for Power-Constrained IoT Communication Systems

Abstract

The exploding number of Internet of Things (IoT) devices has created new, extreme demands on both wireless spectrum and energy source especially in power-limited communication settings. The needs that IoT systems have in terms of dynamic spectrum access and energy budget constraints cannot match well with conventional fixed-spectrum allocation schemes. In order to address them, in the research, a new adaptive spectrum access protocol with the use of the cognitive radio (CR) technology, which is designed specifically to support power-limited IoT networks is presented. The suggested protocol integrates real-time spectrum sensing, context-based decision and lightweight energy-conservation control to dynamically find and acquire unused spectral channels whilst keeping power consumption to a minimum. An end-to-end simulation-driven summation shows that the proposed scheme substantially outperforms the spectrum use efficiency, energy per transmission and provides high packet delivery performance than the conventional static and greedy access schemes. The findings confirm the promising of the suggested framework to enable energy-saving, large-scale, and smart communication in IoT ecosystems of the next generation.