Abstract
Wireless Sensor Networks (WSNs) become active suddenly, when an event occurs in order to respond to the event. Depending on the network and the application, there exist different levels of congestion that need to be controlled. This article presents the design of a new fuzzy congestion controller (FCC) in WSNs. This FCC detects and avoids congestion by developing the ad hoc fuzzy rules base as well as membership functions. In this concept, two parameters have been used as the sign of congestion: a) Channel load b) The size of queue within intermediate nodes. These parameters constitute the input to FCC. The output of this FCC (sending rate) derives from the conjunction with Fuzzy Rules Base and Fuzzy Inference Engine. The congestion is controlled by the sending rate. The simulation results reveal that usage of fuzzy congestion controller has reduced packet-loss about 16%, comparing with non-fuzzy methods. It has also increased throughput and saving energy.
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