VANET message forwarding method in urban environment based on Bayesian model

Abstract

The invention discloses a VANET message forwarding method in an urban environment based on a Bayesian model. The method comprises the steps that: (1) a vehicle node exchanges context information through a hello packet, (2) a source node calculates the probability of successful delivery by using the Bayesian model according to the context information, (3) the source node temporarily stores a message to be forwarded by using a local cache S1 and allocates the message to be forwarded to a target node in a communication range by using a load balancing algorithm such that a network congestion phenomenon caused by the excessive occupation of a cache space of a single node is avoided, and (4) after the delivery is completed, the source node obtains a delivery information feedback report and stores the report into a local cache S2. The node periodically trains new Bayesian model parameters by using the data in S2, and then the node completes the probability calculation in step 2 by using the new model parameters. The Bayesian model parameters can be updated in real time. Therefore, the scheme has good adaptability and robustness, and the delivery success rate of message data in a VANET environment can be effectively improved.

Description

technical field [0001] The invention belongs to the field of mobile ad-hoc networks, is a method for forwarding message packets, and is suitable for VANET (Vehicular Ad-hoc Network) environments. Especially suitable for VANET message delivery in urban environment. Background technique [0002] In the environment of urban Internet of Vehicles, vehicles drive according to the road trajectory, and there are many tall buildings in the urban environment, the coverage of wireless signals is affected, it is difficult for the wireless signals of vehicle nodes to cover other lanes, and the messages can only be adjacent on the same road It is difficult to deliver across roads for delivery between vehicles, so the routing track of messages is almost along the road. Although there are many routing algorithms in VANET, no matter which algorithm it is, the ability to quickly and efficiently deliver messages from one road segment to another determines the performance of the VANET routing ...

AI Technical Summary

Problems solved by technology

[0006] With the increasing improvement of automotive electronic equipment, it is relatively easy to obtain context information by relying on the perception capabilities of powerful on-board sensors. Relying on these information, the present invention proposes a Bayesian model-based VANET message forwarding method in an urban environment to solve the current situation. There are deficiencies in the message delivery method, which includes the following steps:

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