A New Approach to Estimate RED Parameters Using Global Congestion Notification

In communication networks, congestion avoidance in routers is one of the hottest topics. In this work, a new queue management approach is proposed on the RED (Random Early Detection) algorithm by monitoring the global congestion situation of an autonomous system. In order to observe the congestion situation of the system, a traffic is generated between routers and a centralized unit. IP routers are arranged in order to send information packets regarding current output queue levels to the centralized unit which helps to produce a global picture of congestion. The autonomous routers update their RED parameters according to the congestion notification of the control unit. In this work the benchmarks of the proposed algorithm have been investigated in an OPNET model and improvements on recent queue management technologies which are Drop Tail and RED have been introduced.