Fuzzy Logic Based Congestion Estimation for QoS in Wireless Sensor Network

In this paper, we present a model for fuzzy logic based congestion estimation within a proposed QoS architecture. The architecture comprises of a QoS management and control module which is implemented both at node level and at the sink for a system level QoS administration. The QoS module implemented at sensor node forms a subset of the larger QoS Management and Control module implemented for the system wide information, so as not to encumber the resource constrained wireless sensor network While much research has been conducted in wireless sensor network, little attention has been given to a holistic QoS approach for WSN. Energy efficiency has been the main QoS metric in research efforts. In this paper, we present a congestion estimation model for QoS in wireless sensor network, and implement it using fuzzy logic with fuzzy set variables. Simulations are conducted for our scheme which shows that with increased network dynamics and with increased packets generation rate, our implementation efficiently sorts out the traffic and minimizes the packet loss for prioritized event-driven traffic.