Akademik Veri Yönetim Sistemi
Tezin Türü: Bütünleşik Doktora
Tezin Yürütüldüğü Kurum: Uluslararası Kıbrıs Üniversitesi, Faculty of Engineering, Computer Engineering Department, Kıbrıs (Kktc)
Tezin Onay Tarihi: 2019
Tezin Dili: İngilizce
Öğrenci: Sahar Ebadinezhad
Asıl Danışman (Eş Danışmanlı Tezler İçin): Ziya Dereboylu
Eş Danışman: Enver Ever
Özet:
As the number of vehicles increase daily, the Internet of Vehicle (IoV) has become a vital research field. On-board computers and wireless sensors are embedded in these automated vehicles to capable them for processing and collecting data in large scale. Based on their communication type, they are able to communicate with each other through different wireless access technologies. Therefor, for monitoring and controlling the IoVs' communication, routing protocols are deployed. There are some important issues that influence the protocol’s routing performance especially for scenarios such as the transmission of emergency messages, intermittent connectivity, traffic accidents and traffic lights. The most vital performance metrics to be taken into consideration are delivery ratio and delay time. Internet of Vehicle (IoV) is utilized in vehicle communication and it is part of a subdivision of the internet of things (IoT). Frequent changes in topology are always apparent because vehicular nodes are always in motion. Also, the changes that occur in the topology, often leads to major challenges in IoV such as dynamic topology changes, shortest routing paths and also scalability. One of the best solutions for such challenges is “clustering”. This study focuses on the IoV stability in an environment that is dynamic. Variations in traffic dynamics and travel behavior which causes vehicle mobility patterns can lead to substantial difficulty on how efficient and reliable the communication networks of vehicles can be. Eventually, two essential issues with routing are presented: network disconnection issues and the broadcast storm issue which is solved by proposing a novel algorithm called modified Ant Colony Optimization (CACOIoV) in three distinct phases to achieve stable and efficient clustering. Based on consecutive topology change of the VANET network in heterogeneous distribution, sustainability of network’s connectivity becomes a challenging issue. Having dynamic transmission range instead of a static one is one solution in this type of challenge. In this regard, DA-TRLD algorithm is newly proposed on the basis of local traffic density. This study is categorized into two phases. Firstly, modification of ACO (ACO DATRLD) and modified Ad hoc On-Demand Distance Vector Routing (AODV DATRLD) is proposed. Secondly, a novel intelligent system-based algorithm is proposed (CACOIoV), which stabilizes topology by using a metaheuristic clustering algorithm based on the enhancement of Ant Colony Optimization (ACO) in two distinct stages for packet route optimization. The CACOIoV explores the behavior of ants for making efficient clusters. The exponentially reduces exploration time that leads to earlier convergence, which gives the optimized number of clusters in minimum time by avoiding fall into local optima. The method proposed in the study is compared with well-known metaheuristics from literature. The results presented through NS-2 simulations show that the new protocol is superior to both ACO DATRLD and AODV DATRLD protocols based on evaluating routing performance in terms of throughput, packet delivery ratio, number of cluster and average end-to-end delay. This protocol is simulated for highway environment and able to achieve excellent communication and reliable information delivery to each vehicle.