A Dual Fuzzy Entropy Model for QoS Routing in MANET

Congestion leads to bandwidth degradation and, packet losses thereby causing retransmissions and higher energy drain rate by the nodes in Mobile Ad hoc Networks(MANET). So providing Quality of Service(QoS) and reducing congestion levels are some of the major issues to be addressed in these networks. However , use of appropriate congestion control measures is complicated due to the interdependence of various parameters that cause congestion. Applying cost based metrics for attaining QoS is prevalently used in MANET’s but they are inefficient because of the uncertainities involved in the channel characteristics. Hence routing solutions based on the principles of entropy and fuzzy logic would be appropriate for MANET’s. We are proposing a novel method based on entropy and fuzzy logic (Dual-Fuzzy-Entropy-AODV) to assess the quality of a path discovered by a routing protocol. Simulation studies and evaluation of our proposed mechanism shows improvement in the performance results.