<p>To address the escalating demand for wireless spectrum, Cognitive Radio (CR) technology offers a solution for efficiently utilizing the scarce radio frequency (RF) spectrum. Spectrum utilization efficiency of a CR network majorly relies on spectrum sensing. Despite the effectiveness of cooperative spectrum sensing, achieving maximum throughput still poses many challenges. The present research investigates a cooperative spectrum-sensing model involving mobile CRs. We have adopted a non-cooperative game-theoretic model to optimize the sensing strategy to improve the overall throughput. Through evaluating the influence of node mobility on key sensing parameters like false alarm probability and detection probability, valuable insights are acquired regarding the design of efficient spectrum sensing strategies for mobile cognitive radio networks. The key contributions of the research include the impact of node mobility on the sensing strategies of CRs within a cooperative network, for an extensive variety of network conditions. This study illuminates the design of efficient and adaptive spectrum sensing strategies for future mobile cognitive radio networks.</p>