Mobile Vehicular Cloud

点击翻译按钮获取中文摘要

With the advancement of wireless technologies, vehicular networks support a wide spectrum of novel safety and infotainment services, such as emergency notification, collision avoidance, fleet management, and multimedia content sharing. Although, vehicular network research resulted in several key contributions in multitude of research directions (e.g., novel broadcast and routing protocols), little attention has been paid towards the abundance of computing, communication, sensing and storage resources embedded in vehicles, which if shared among users can give rise to vehicular services hosted in the vehicles themselves. In this project, we propose a novel vehicular cloud architecture that supports a wide range of services provided by mobile as well as stationary vehicles in a distributed manner; these services include Network as a Service, Storage as a Service, Sensing as a Service, Computational Intelligence as a Service and Location Information and Density Estimation-as-a-Service. For efficient support of vehicular cloud services, we aim at developing optimization models to compute optimal/near optimal configurations of vehicular cloud that satisfy certain QoS in presence of several constraints; given the complexity of these problems we will resort to heuristic/meta-heuristic approaches to solve the resulting models. In addition, we will develop novel management techniques for efficient bandwidth utilization, reliable transfer with reduced delay, lesser connections disruption and efficient vehicular density information transfer.