Dynamic Radial Movement Optimization for Throughout Maximization in Energy Harvesting Cognitive Radio Network

The Energy Harvesting (EH) and corrperative communication technique and information accessibility of Energy Harvesting Cognitive Radio Network (EH-CRN). However, minimized throughput in EH, leading to longer EH periods where nodes are inactive and multi-use CRN secondary user interfere with each other transmissions overlap in time due to require maximum energy. In this paper, proposed Dynamic Inertia Weight with Radial Movement Optimization (DRMO) approach provides a framework for dynamic management of both energy and spectrum resources, allowing the network to adapt to changing conditions and maintain high throughput. The DRMO improves the utilization of under used spectrum bands by allowing secondary users to opportunistically transmit data while minimizing interference with primary user. The RMO adapts to changing environmental factors such as variations in harvested energy and spectrum access opportunities making it minimized energy for using dynamic wireless network. The DRMO method exhibits superior performance compared to existing method such as Whale Colony Optimization algorithm (WCO) and Particle Swarm Optimization (PSO). The proposed DRMO method achieving maximum throughput of 0.45, energy of 0.25mJ and time of 0.2, respectively.