Wireless Personal Communications

Wireless Sensor Network has been widely used in a variety of applications such as; medical, agriculture, military, monitoring environment and so on. In healthcare wireless sensor networks, sensors which are placed on specific parts of the patient’s body, detect patient’s vital signs and transmit them to a medical center. As a matter of fact, too many of these sensors begin to simultaneously send the information congestion which is likely to happen in a network. In other words, when the sensors on the patient’s body are constantly sending data packets, the congestion is more likely to happen. This could result in an increase of packet loss ratio and thus efficiency decreases and it affects the overall performance of the system, In this regard, so the congestion control is a major challenge. Congestion detection and control are essential for such systems. In this protocol a new active queue management method is proposed to determine packet loss probability. The proposed AQM integrates the random early detection and fuzzy proportional integral derivative (FuzzyPID) controller methods together. When fuzzy logic combines with PID, it helps to control the target buffer queue. A fuzzy logical controller also estimates and adjusts the sending rate of each node. With the help of OPNET simulator and MATLAB, we compared this proposed protocol with Priority-based Congestion Control protocol and Optimized Congestion management protocol protocols, and simulation results suggest that the proposed protocol performs better than other approaches regarding aspects such as data loss rate and end-to-end delay.