In Mobile Wireless Sensor Networks (MWSN) has been employed to monitor the health conditions of remotely located patient’s. It has different kind of networks challenges including service differentiation, detection and avoidance of congestion through the network while the traffic becomes higher than the aggregated channel capacity. For this case, specific considerations are required. As a result, a Dynamic Random Early Detection with Fuzzy Proportional Integral Derivative (DRED-FPID) controller based on Active Queue Management (AQM) technique has been designed to control the target buffer queue and sending rate of each node. However, some limitations are addressed in this technique such as it does not consider the service differentiation, traffic flow estimation at congested nodes, high energy consumption and packet loss that degrades the network performance. Hence, the major objective of this proposed work is to improve the network performance by detecting and controlling the congestion in the network.