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Analysis Study Research Paper | Computer Science & Engineering | India | Volume 12 Issue 8, August 2023
Enhanced Congestion Control in Wireless Networks: A Joint Random Early Detection and Drop Tail Mechanism
Abstract: Congestion control in wireless networks is a critical challenge due to limited resources and the dynamic nature of wireless channels. To mitigate congestion, various techniques have been proposed, including Random Early Detection (RED) and Drop Tail mechanisms. RED provides proactive congestion avoidance by dropping packets randomly before the network becomes heavily congested, while Drop Tail queues packets until the buffer is full and then starts dropping packets. In this paper, we propose a novel approach that combines the advantages of both RED and Drop Tail mechanisms, referred to as Joint Adaptive Random Early Detection and Drop Tail (JARED-DT). The objective of JARED-DT is to enhance the congestion control efficiency of wireless networks by reducing the occurrence of congestion and minimizing the packet loss. JARED-DT operates in two phases: the RED phase and the Drop Tail phase. During the RED phase, packets are randomly dropped based on certain probabilistic parameters, such as average queue length and packet arrival rate. This phase aims to detect and prevent congestion before it reaches a critical level. If congestion persists or escalates, the system switches to the Drop Tail phase. In the Drop Tail phase, packets are queued until the buffer becomes full. Once the buffer is full, incoming packets are dropped in a First-In-First-Out (FIFO) manner. This phase ensures fair packet treatment and prevents congestion from worsening. Our analytics and algorithmic results demonstrate that JARED-DT outperforms both RED and Drop Tail mechanisms individually. It achieves superior throughput, reduced packet loss, and improved fairness among flows. Furthermore, JARED-DT adapts well to dynamic network conditions, such as varying traffic loads and mobility patterns. In conclusion, our proposed JARED-DT mechanism presents a promising solution to congestion control in wireless networks. By combining the strengths of RED and Drop Tail mechanisms, it provides an effective approach to detect and mitigate congestion, resulting in improved network performance and enhanced Quality of Service (QoS) for wireless users.
Keywords: Congestion control, Packet loss reduction, Wireless networks, Adaptive drop-tail, Random Early Detection, Queue management, Threshold calculation, Marking probability, Adaptive algorithms
Edition: Volume 12 Issue 8, August 2023,
Pages: 734 - 741