Vehicular Cloud Data Collection for Intelligent Transportation System

Abstract

The Internet of Things (IoT), in order to provide new technologies and services for smart cities, intends to link billions of sensors to the internet. IoT will allow the evolution of the Internet of Vehicles (IoV) from existing vehicle ad hoc networks (VANETs), where drivers will provide various services through the integration into their world-wide network of vehicles, sensors and mobile devices. Vehicle Cloud Computing (VCC) is recently planned to provide traffic solutions to enhance our day-to-day operation to serve VANET with computational resources. In order to provide new technologies and facilities for cities, the Internet of Things (IoT) imagines connecting trillions of sensors to the Internet. While safety problems in cloud computing and vehicle networks have received attention, we have identified VCs-specific security problems, such as the challenge of authentication, scalability and the difficulty of maintaining confidential connections among many players caused by the use of intermittent short-range communications. We begin by defining the VC models, i.e. ad hoc models, and demonstrate algorithms aimed at improving the scalability and confidence between several players induced by irregular short-range communications.