Adaptive neuro-fuzzy interence system congestioi detection protocol

Congestion in Wireless Sensor Networks (WSNs) is a significant problem. Congestion causes QoS degradation due to packets loss, energy consumption in addition to delay that decreases the sensor lifetime. Therefore congestion detection is crucial for WSNs. In this paper, an Adaptive Neuro-Fuzzy Inference System Congestion Detection Protocol (ANFISCD) is proposed. It allows the sink node to estimate congestion degree by the use of local information like participants, buffer occupancy, and traffic rate as input for the protocol. Simulation results are provided, at last, to show the effectiveness of our conceived method.

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