Car networking data transmission route selection optimized method based on electronic eyes

Abstract

The invention relates to a car networking data transmission route selection optimized method based on electronic eyes. The car networking data transmission route selection optimized method comprises the following steps: (1) the electronic eyes collect traffic video images in real time; (2) a video processing module extracts traffic parameters according to the traffic video images; (3) a cloud computing platform affirms traffic flow state information according to the traffic parameters by combining the national road service level table; (4) a roadside unit broadcasts the traffic flow state information to car nodes, after each car node receives the traffic flow state information, the car nodes are adjusted in a self-adaptation mode and send the broadcast cycle of beacon news; (5) a car source node confirms crossroads where a data transmission route connected between the car source node and a car destination node may pass through according to an electronic map; and (6) the car source node selects the optimized route to send data according to the traffic flow information among the crossroads where the data transmission route may pass through. Compared with the prior art, the car networking data transmission route selection optimized method based on the electronic eyes has the advantages of being reliable in communication, high in promptness of data transmission, and the like.

Description

technical field [0001] The invention relates to a data transmission method of the Internet of Vehicles, in particular to an electronic eye-based method for selecting and optimizing the data transmission path of the Internet of Vehicles. Background technique [0002] As an emerging vehicle communication technology, the Internet of Vehicles provides seamless connection services for mobile users on the road. It can realize multi-hop wireless communication between vehicles and between vehicles and roadside infrastructure to provide a variety of vehicle safety applications and non-secure applications. Compared with the traditional mobile ad hoc network, the Internet of Vehicles has its own unique characteristics: (1) High dynamic topology. Due to the high-speed movement between vehicles, the topology of the Internet of Vehicles changes frequently. (2) Frequent network interruptions. For the same reason, the link of the Internet of Vehicles will change frequently. Especially w...

AI Technical Summary

Problems solved by technology

(2) Frequent network interruptions

(5) Strict delay limit

However, the anchor point setting of this type of routing protocol may be mobile. In this way, the movement of the anchor point will have a negative impact on the performance of the entire route, and the judgment criteria for marking the anchor point are not accurate enough, and the assumptions appear to be too idealistic

In practical applications, the traffic conditions of different roads are different, and a single data forwarding method cannot produce good results

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