Priority-based congestion control mechanism for wireless sensor networks using fuzzy logic

In this paper, a priority-based congestion control mechanism for wireless sensor networks using fuzzy logic is proposed. The proposed method tries to make a distinction between locally generated data and transit data in such a priority-based mechanism by providing a novel queueing model. Moreover, two parameters are used as the inputs of fuzzy rate controller: congestion score and buffer occupancy which are based on total packet input rate, packet forwarding rate at MAC layer, number of packets in the queue buffer, and total buffer size at node. As soon as the congestion is detected by the proposed congestion score relation, the notification signal is sent to offspring nodes and they regulate their data transmission rate to parent (sink) node. Simulation results clearly show that the implementation of the proposed method using fuzzy logic, has done significant reduction in terms of packet loss rate and end-to-end delay.