A master’s thesis at the College of Engineering at the University of Basrah (Modeling and evaluating the performance of the intelligent data routing algorithm in vehicle networks)

the thesis presented by the student Israa Abdel-Jalil Mezher

Suggesting three multi-faceted adaptive models based on intelligent computing. dependent protocol

The first is proposed on the quality of the fuzzy logical link and the speed of the vehicle FL_QS, while the second protocol depends on the quality of the fuzzy logical link and the distance to the neighboring node FL_QN. Moreover, another effective multi-criteria protocol based on fuzzy logic called FL_MC GPSR is proposed. This protocol takes into account three factors to improve GPSR in a more efficient way to discover the best node for the next hop to forward the packet.

The purpose of the thesis is to improve the performance of the GPSR routing protocol using fuzzy logic and thus improve the overall QoS performance of the VANET network related to network throughput, packet delivery rate and time delay.

The thesis concluded through experimental scenarios that all the proposed GPSR protocols are effective in terms of throughput, packet drop ratio, time delay and packet delivery ratio compared to conventional GPSR and current AODV protocol. The results also prove that the FL-MC GPSR protocol is superior to the other two protocols, FL-QS GPSR and FL-QN GPSR, and both standard AODV and GPSR protocols.