This paper investigates the feasibility of using LoRaWAN as the communication protocol for a Spectrum Sensing Provider (SSP) in Cognitive Radio (CR) networks. We evaluate LoRaWAN capability to deliver reliable spectrum detection services by analyzing the impact of key protocol parameters such as duty cycle restrictions, gateway capacity, and network interference on delivering the sensing outcome in Cooperative Spectrum Sensing (CSS) scenarios. Additionally, we propose a novel cost function for selecting CSS groups, optimizing the trade-off between energy consumption and channel availability, along with a greedy scheduling algorithm to enhance sensing timeliness. Numerical analysis shows that our cost function may improve spectral and energy efficiency by 50% compared to classical SNR-based approaches, while the greedy algorithm effectively balances the SSP’s response to service requests. Our findings highlight that despite LoRaWAN constraints, increasing the number of users and detected channels significantly enhances SSP performance, enabling it to meet diverse spectrum sensing demands more efficiently. © 2025 Elsevier B.V.