Active Queue Management (AQM) techniques are essential for addressing congestion in Mobile Ad Hoc Networks (MANETs), where the Ad hoc On-Demand Distance Vector (AODV) routing protocol is frequently used. AODV is a reactive routing protocol that establishes routes only when required, making it efficient in highly dynamic network environments. However, its performance can be adversely affected by congestion, resulting in packet loss, increased delays, and reduced throughput, especially in networks with limited resources and high traffic. This paper examines the integration of AQM techniques, specifically Random Early Detection (RED) and Drop Tail, within AODV for better congestion control in MANETs. RED is an AQM technique that anticipates congestion by monitoring the average queue length and selectively drops packets before the buffer overflows. This early packet dropping helps manage congestion and prevents network collapse, leading to more stable and efficient communication. Drop Tail, a simpler technique, drops packets only when the buffer is full, which may lead to bursty packet loss and affect real-time application performance. By incorporating AQM techniques like RED and Drop Tail, AODV can more effectively handle congestion and improve overall Quality of Service (QoS) in MANETs. These techniques contribute to reducing delays, minimizing packet loss, and ensuring more consistent throughput. This study highlights the importance of AQM in enhancing network performance, enabling more efficient communication in mobile ad hoc environments, and ensuring that AODV-based routing can perform well under varying network conditions.