Forwarding algorithms in vehicular networks
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AbstractVehicular ad hoc networks are a kind of mobile ad hoc network in which themobile nodes are fast moving vehicles. The fast movement of vehicles causesconsiderable disconnections in network links and leads to changes in the topologyof the network. Due to frequently changing topology in vehicular ad hoc networks,finding reliable routes which increases network performance is very important.Finding reliable routes in vehicular ad hoc networks has received considerableattention by researchers. The goal of this thesis is to find the most stable routes byconsidering various mobility parameters by applying a fuzzy logic controller tool.Fuzzy logic is an artificial intelligence (AI) technique which is a form of multi-valued, as opposed to fixed and exact logic. Fuzzy logic has good performance inpattern classification and decision making systems. I considered the followingparameters as the input to my fuzzy logic: the direction of two intermediate nodes,intermediate node s position, same directional node compared to source anddestination and relative velocity compared to source and destination.Different simulation scenarios are designed, tested and finally, the advantages ofmy proposed algorithm compared to normal AODV based on the variousparameters, such as end to end delay and delivery rate, are presented. At the end,several requirements of quality of service that can be applied in vehicularnetworks are discussed and the future work is addressed.