A Neuro Fuzzy based conditional shortest path routing protocol for wireless mesh network

A modified nuero fuzzy based conditional shortest path routing protocol for wireless mesh network is simulated and studied. In wireless mesh networks many routing protocols used for conditional shortest path routing like AODV, by considering only the shortest route to destination .The data transfer in wireless mesh networks is to and from the AP. These protocol congested the routes and overloaded AP’s to reduce the congestion by avoiding a traffic aware process and to improving the network performance on the system. However, major problem based on routing, such as traffic, delay and low network performance. To make a efficient routing based on CSPR for wireless mesh network, a Neuro fuzzy logic routing is proposed in this paper. Neuro fuzzy logic to perform high level data to reach the destination, this one to choose the path from distance and time efficiency, network throughput, reduce delay on the network. Simulation results in ns-2 verify that they perform better than the existing fuzzy logic routing protocol.