Araçlar arası ag'da karşı şeritteki araçlardan yararlanan, yogunluk uyarlamalı, yayılımcı bilgi dagıtımı

Vehicular ad-hoc networks (VANETs) aim to increase the safety of passen- gers by making information available beyond the driver?s knowledge. The challenging properties of VANETs such as their dynamic behavior and inter- mittently connected feature need to be considered when designing a reliable communication protocol in a VANET. In this thesis, we propose an epidemic and density adaptive protocol for data dissemination in vehicular networks, namely EpiDOL, which utilizes the opposite lane capacity with novel prob- ability functions. We evaluate the performance in terms of end-to-end delay, throughput, overhead and usage ratio of the opposite lane under different vehicular traffic densities via realistic simulations based on SUMO traces in ns-3 simulator. We found out that EpiDOL achieves more than 90% through- put in low densities, and without any additional load to the network 75% throughput in high densities. In terms of throughput EpiDOL outperforms the Edge-Aware, DV-CAST and DAZL protocols 10% , 40%, 50% respect- ively. To achieve high throughput performance regardless to density level, we proposed a range adaptivity feature which utilize two channel statistics Channel Busy Ratio (CBR) and reception rate. This feature improved our throughput by 25% in higher densities.