SDN and fog computing hybrid vehicular ad-hoc network system

Abstract

The invention discloses an SDN and fog computing hybrid vehicular ad-hoc network system. The whole framework of the SDN and fog computing hybrid vehicular ad-hoc network system comprises a cloud computing layer, a fixed fog computing layer and a mobile fog computing layer; the cloud computing layer is composed of cloud servers; the fixed fog computing layer is composed of an SDN controller, a RSUand a base station; and the mobile fog computing layer is composed of running vehicles and vehicle-mounted mobile devices. The SDN and fog computing hybrid vehicular ad-hoc network system has the beneficial effects as follows: from the perspective of economics and application service reliability, as SDN and fog computing are mixed to consider roadside infrastructure, mobile vehicles, user terminals and the like as available processing nodes, resources such as computing, communication and network of the system are added; and due to adoption of a task distribution strategy, application service reliability is improved, and an extra cost consumption is avoided.

Description

technical field [0001] The invention relates to a vehicle ad hoc network system, in particular to a vehicle ad hoc network system mixed with SDN and fog computing, and belongs to the field of communication technology. Background technique [0002] Vehicle ad-hoc network (VANET) is the application of traditional mobile ad-hoc network (MANET) on traffic roads. It takes cars on the road and deployed traffic facilities as processing nodes, and uses wireless communication technology ( Such as WAVE communication between vehicles (V2V), 3G / 4G / WiMax communication between vehicles and roadside infrastructure (V2I) to form a large-scale mobile network. In order to support the transition from traditional transportation to intelligent transportation system (ITS), vehicles are equipped with processing units, various sensors, GPS, radio transceivers and other units, and related fixed infrastructures are also deployed on both sides of the road, such as: monitoring Cameras, sensors, traffi...

AI Technical Summary

Problems solved by technology

However, considering the actual complex traffic environment, the failure of processing nodes and communication links is inevitable, and the resulting failure of execution may have disastrous consequences for people's travel, so how to provide vehicles with reliable The application service is the key challenge to ensure QoS

[0010] In a heterogeneous distributed network, there are already many methods to improve the reliability of application services, such as redundancy technology (including hardware redundancy and software redundancy), because a large amount of hardware or software is required as a redundant backup, so expensive It brings great difficulties to large-scale deployment, especially the VANET system that does not have enough resources in the early stage of development

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