Inter-vehicle-communication-demand-based intra-cluster channel distribution method

Abstract

The invention discloses an inter-vehicle-communication-demand-based intra cluster channel distribution method. The method comprises: vehicle states of vehicle members in a cluster are obtained, wherein the vehicle states include healthy states and position information of the vehicle; an available channel number Ncmax and an available time slice number Nramx are obtained; according to the vehicle states of the vehicle members in the cluster, intra-cluster inter-vehicle communication demand relationships are obtained, and an inter-vehicle communication demand matrix (CDM) is constructed based on the intra-cluster inter-vehicle communication demand relationships; and according to the available channel number Ncmax and the available time slice number Nramx, priority sorting is carried out in the CDM according to communication demand values sizes, and then channel distribution is carried out on vehicles corresponding to the communication demand values. With the method, safety warning information is transmitted by using a multi-frequency-point division time slice, so that the channel competition and channel congestion can be avoided effectively and thus the safety warning information can be transmitted to a target vehicle reliably in real time.

Description

technical field [0001] The invention relates to the field of channel allocation used in the distribution of safety warning information in a vehicle ad hoc network, in particular to an intra-cluster channel allocation method based on vehicle-to-vehicle communication requirements. Background technique [0002] With the continuous development of the global vehicle industry, the number of vehicles on the road is increasing day by day, and the harm caused by traffic accidents is also becoming more and more serious. VANET uses inter-vehicle communication (Inter-vehicle Communication, IVC) to quickly inform relevant vehicles of safety warning information (safety warning message, SWM), reminding relevant vehicles to pay attention to dangerous traffic conditions on the road, which can prevent vehicle collisions and thus smooth traffic, and can effectively avoid traffic accidents and traffic jams. [0003] In order to adapt to the high-speed mobile vehicle environment, the IEEE802.11...

AI Technical Summary

Problems solved by technology

This algorithm can effectively improve channel utilization, but it does not consider the channel load imbalance problem that may be caused by dynamic changes in network state parameters.

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