Internet of Things (IoT) devices used in various fields, such as medicine, factories, and transportation, use wireless communication technology, resulting in performance degradation and service availability problems owing to interference. Conventional interference mitigation studies utilize trial-and-error methods to avoid interference; however, this approach is inefficient from a performance and security perspective. To solve these problems, in this study, STAs (stations) and APs (access points) affected by interference cooperate to learn the location, power, and pattern of interference sources and minimize the impact of interference through the cooperation of the station (STA) and access point (AP) affected by interference. Experimental results show that the proposed technique, which adjusts the TX power of neighboring nodes when the TX power of the interference source was 15 dBm, improves throughput by at least 195% compared to the conventional technique. In addition, the proposed technique can reduce latency by up to 0.52 s compared to the conventional method.