The Cognitive Radio (CR) network is capable of autonomously detecting unoccupied channels within the wireless spectrum. The spectrum provides various frequency ranges that can be utilized for communication purposes. Furthermore, it should be noted that a specific amount of energy is expended during the process of communication among all nodes. Energy consumption is a prominent issue in sensor networks, thereby necessitating the implementation of efficient routing strategies to optimize energy utilization and improve overall network performance.These networks possess the ability to rapidly deploy in accordance with specific application needs, while also exhibiting self-sufficiency, self-organization, and self-configuration. The Low Energy Adaptive Clustering Hierarchy (LEACH) is a methodology that employs a cluster-based approach to optimize energy utilization. This study aims to conduct a comparative analysis of the energy-efficiency between the proposed LEACH CR, which is designed to be more energy-efficient, and the established LEACH protocol. Performance matrices are employed for the purpose of assessing the efficacy of the proposed LEACH protocol. The results of our experiments indicate that nodes, particularly in environments characterized by high levels of traffic, possess, at most, inaccurate state information. In the proposed methodology, the Low-Energy Adaptive Clustering Hierarchy (LEACH) algorithm is utilized to establish clusters and provide energy reports for each cluster's zone. In the context of enhancing communication reliability, LEACH employs a selection mechanism where nodes with higher energy levels are chosen for data transmission. This study also investigates the outcomes in relation to network metrics, such as throughput, packet delivery ratio, and additional metrics.

LEACH, Cognitive Radio (CR), Ad hoc CR, Sensor Network, Energy Efficiency.