Stable Relay Selection for Routing Protocols in Urban UAV-Assisted Vehicular Networks

Abstract

This thesis tackles the problem of selecting stable relays for Optimized Link State Routing protocol (OLSR) in urban Internet of Vehicles (IoV) in the presence of Unmanned Aerial Vehicles (UAVs). With the evolution of Internet of Things (IoT), IoV emerged from the conventional vehicular ad-hoc network (VANET) to enable Vehicle to Everything (V2X) communication through different routing protocols. In OLSR protocol, Multi-Point Relays (MPRs) are selected based on their reachability and uniqueness to route information. However, urban environments are characterized by the rapid changes in topology due to the presence of intersections and traffic lights. Although clustering was proposed as a solution to limit the effect of rapid changes, the selection of stable heads and MPRs in urban IoV should be considered. As a solution to improve routing in IoV, a distributed Gale-Shapley matching game is proposed for stable clustering and MPR selection, utilizing nodes' quality of service (QoS). Nodes' QoS is calculated using Bayesian Belief function of stable connections utilizing environment metrics. For further enhancement of the network performance, UAVs are integrated in the network of vehicles. The simulation results show high percentage of stable cluster-heads and MPRs for the proposed model compared to benchmark protocols. In addition, the proposed model shows improved performance in terms of packet delivery ratio, throughput and End-to-End delay. These improvements are attributed to the presence of UAVs in the network.

Date of Award	Dec 2019
Original language	American English