Mobile ad-hoc network is a network without communications where every node has its own protocols and services for powerful collaboration in the network. The wireless links in MANET are highly error prone and can go down frequently due to mobility of nodes, interference and less infrastructure. Routing in MANET is a critical task due to highly lively environment. Hence, fuzzy logic is applied to supervise routing policies and to enhance routing performance dynamically. The parameters (energy, bandwidth, mobility and packet forwarding ratio) in MANET were classified with fuzzy degree of association. The algorithm was developed and simulated using NS2. The results of the simulation showed that the performance of the FMRC algorithm was noticeably improved compared with FBR. Hence, it is feasible that the fuzzy logic multipath congestion control algorithm is applied to optimize routing performance of MANET.
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