This letter presents a novel Sliding Window selection scheme tailored for optimizing the Non-Overlapping Backoff Algorithm (SW-NOBA). SW-NOBA is devised to tackle inter-priority collisions, while minimizing instances of intra-priority collisions. Its adaptive nature, dynamically responding to channel conditions influenced by factors such as node density, collision occurrences, and successful data transmissions, allows SW-NOBA to enhance the overall utilization of superframes. Evaluating SW-NOBA’s efficacy involves a comparative analysis with two benchmarks: the Binary Exponential Backoff (BEB) and the traditional Non-Overlapping Backoff Algorithm (NOBA). The findings demonstrate that SW-NOBA significantly amplifies superframe utilization. Its introduction results in significant improvements in individual throughput, cumulative throughput, and latency when contrasted with BEB and NOBA.