Fuzzy Neuro Approach for Active Queue Management

Abstract

Out internet is growing dressily day and night. One of the major problem in internet is to reduce the loss of packet during transmission. There are various nodes or devices so called router, switch, hub, and repeater are there between sender and receiver. Since the responsibility of network layer to transfer the packet to source to destination. Router is a network layer device, which route the data packets. Router give the path to the packets so that they reach the destination with minimum time and minimum loss. Each and every router has a buffer space in which packets wait for processing. This is known as queue of packets. These are also known as active queue, because they are alive they are waiting for processing they wait due to router processor speed, incoming packet rate, outgoing packet rates also due to difference of band width between incoming and outgoing packets. There are various active queue management mechanism or algorithm were developed such as RED, BLUE, SFB, CHOKE, PURPLE etc. but have their pros and cons. In this paper active queue management is done by using fuzzy logic. Basically fuzzy logic is used for decision making. Same here which packet have to drop or which not will be decided by fuzzy logic and some parameters which are used in this paper. There will be some membership graphs and rules and Mamdani mechanism use to get appropriate answer. Also a dataset is used to validate the theory.