Adaptive QoS-aware Congestion Window Adaptation through Contention Detection in Wireless Networks

In wireless networks, maintaining Quality of Service (QoS) while managing congestion effectively is a critical challenge due to changing network conditions. Quality of service (QoS) technique operates on a network to run high-priority applications and traffic reliably despite limited network capacity. This paper proposes an adaptive QoS-aware congestion window adaptation mechanism that leverages contention detection to optimize performance in wireless networks. A cooperative relay node has also been introduced to relay safety messages that failed to reach the destination. According to the proposed method, congestion window size is dynamically adjusted to maintain QoS standards even for high-priority traffic under varying network conditions. Simulation results obtained for our model show that using a dynamic window enhances the performance of the system by allowing higher throughput, stable performance, a decrease in delay, and a higher packet success rate.