Density-based optimal transmission for throughput enhancement in vehicular ad-hoc networks

摘要: Vehicular ad-hoc networks (VANETs) have received a lot of research and industrial attention, including the approval IEEE 802.11p standard. However, resource allocation in standard still makes use traditional mechanisms (e.g., carrier sensing) without exploiting unique characteristics VANETs. This provides motivation for this work. As first step toward goal by considering vehicle density, paper investigates how transmission probability can be determined to optimise throughput A challenging design issue VANETs is deal with node (vehicle) mobility, which causes various vehicular densities within same network consequently influences connectivity capacity network. work shows that it indeed possible follow dynamics adapt at MAC layer reduce interference maximise single-hop between adjacent nodes. By VANETs, we introduce approximations order derive closed-form expressions other performance metrics terms probability, would otherwise impossible. Our extensive simulations validate proposed analytical model thus serve as promising tool improve performance. For example, optimal used develop efficient protocols using density estimation our future