Forwarding algorithms in vehicular networks
Vehicular ad hoc networks are a kind of mobile ad hoc network in which the
mobile nodes are fast moving vehicles. The fast movement of vehicles causes
considerable disconnections in network links and leads to changes in the topology
of 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 considerable
attention by researchers. The goal of this thesis is to find the most stable routes by
considering 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 in
pattern classification and decision making systems. I considered the following
parameters as the input to my fuzzy logic: the direction of two intermediate nodes,
intermediate nodes position, same directional node compared to source and
destination and relative velocity compared to source and destination.
Different simulation scenarios are designed, tested and finally, the advantages of
my proposed algorithm compared to normal AODV based on the various
parameters, 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 vehicular
networks are discussed and the future work is addressed.
Place, publisher, year, edition, pages
Institutt for telematikk , 2014. , 143 p.
IdentifiersURN: urn:nbn:no:ntnu:diva-24703Local ID: ntnudaim:10114OAI: oai:DiVA.org:ntnu-24703DiVA: diva2:717810
Moseng, Tor Kjetil, Førsteamanuensis II