An Adaptive Frame Aggregation Method in Vehicle Ad Hoc Networks

Abstract

The invention discloses an adaptive frame aggregation method in a vehicle ad hoc network. The steps include: classifying service types and adding services from the upper layer to corresponding service queues; applying for service scheduling according to the remaining delay; according to different channel conditions Calculate the aggregated frame length under the saturated throughput; adjust the aggregated frame length according to the remaining delay of the data frame; aggregate and transmit the data frames in the scheduled service queue. The present invention proposes an adaptive frame aggregation method at the MAC layer based on the IEEE 802.11 protocol. The length of the aggregated frame can be dynamically adjusted according to the current channel condition and the remaining delay; the present invention divides the incoming data packets from the upper layer into three different priority queues, and assign the highest transmission priority to the queue with the lowest remaining delay, thus ensuring that information with high priority is transmitted first.

Description

technical field [0001] The invention belongs to the field of MAC layer of wireless local area network, and mainly relates to an adaptive data frame aggregation method in vehicle ad hoc network. Background technique [0002] In recent years, vehicular ad hoc networks (VANETs) have achieved tremendous development in ensuring the safety of transportation systems and improving the travel experience of passengers and drivers. Vehicle communication is increasingly becoming an integral part of vehicle equipment. Today, cars have relatively few built-in services, such as map navigation and audio services. With the development of society and technology, the services provided by VANETs will become increasingly rich, and even reach the level of services and applications provided by traditional networks. This will greatly improve the marketability of vehicle ad hoc networks and accelerate network deployment and construction. At the same time, this will put forward higher requirements...

AI Technical Summary

Problems solved by technology

First, in real-time applications that have high requirements for latency, the transmission of aggregated frames may lead to data unavailability; second, a larger data frame length may increase the probability of retransmission, which will lead to a decrease in data throughput and channel utilization reduction; finally, the unstable topology of the vehicular ad hoc network will lead to disconnection of vehicular communication

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