Fuzzy Velocity Biased-Ad Hoc on Demand Distance Vector to Improve Throughput in Dynamic Mobile Network

Abstract

Problem statement: With the escalating demand for mobile ad hoc network projects, major challenges to system planners and designers were addressing stability and reliability problems due to frequent change of network topology. Controlling an overhead, which means bandwidth utilization due to control packets, depends on the routing protocol, topology and data traffic. Limiting the network control overheads, of this highly dynamic and dense network to acceptable level, was closely linked to the function of increased link changes. The throughput of the network can be improved with dynamically limiting of the routing control overheads. Approach: We propose a improved AODV mechanism Fuzzy Velocity Biased-Adhoc on Demand Distance Vector (FVB-AODV) which dynamically modifies the AODV control overhead parameters based on the relative velocity between two communicating nodes. Conclusion/Recommendation: The proposed algorithm is able to achieve its objectives by increasing the throughput at high node mobility. Dynamically modifying the overheads improved the bandwidth utilization. The additional overheads on the node CPU however needs to be evaluated.