Fine-grained statistical priority multiple access method with high channel utilization rate

Abstract

The invention provides a fine-grained statistical priority multiple access method with high channel utilization rate. The method comprises operations of four stages, namely, full-load threshold solving, channel load statistics, priority comparison and back-off during operation, and adopts three new mechanisms including 'packet-based channel load control', 'single-cycle-based backoff time setting'and 'full-load threshold optimization'. The packet-based channel load control new mechanism works in the priority comparison stage and the back-off stage, the single-cycle-based back-off time settingnew mechanism works in the back-off stage, and the full-load threshold optimization new mechanism works in the full-load threshold solving stage; the granularity of channel load control is reduced from priority to packet, the granularity of packet back-off time is reduced from multi-cycle to single-cycle, and a full-load threshold value is optimized towards the direction of 100% of data packet transmission success rate. According to the method provided by the invention, the utilization rate of wireless channel resources can be improved, so that the throughput is improved, and the average delay of data frames is reduced.

Description

technical field [0001] The invention belongs to the technical field of Aeronautical Ad Hoc Networks (AANET), and in particular relates to the occasion of Aeronautical Ad Hoc Networks (such as no man-machine ad hoc network scenario). Background technique [0002] With the development of flight control and integrated circuit technology, unmanned aerial vehicles (UAVs) of various sizes and purposes have made rapid progress in design and development. A drone is an aircraft that does not need to carry any people, and its flight can be operated autonomously or automatically controlled by a remote onboard computer system. Compared with manned aircraft, UAVs have the characteristics of flexibility, low cost and high mobility. UAVs are widely used in fields such as battlefield investigation, environmental monitoring, relay network, transportation and agricultural management, and disaster rescue. With the rapid development of UAV technology, UAVs are developing from a single platfor...

AI Technical Summary

Problems solved by technology

When the calculated channel load value is greater than the full-load threshold, low-priority packets are backed off by analyzing the priority composition of the channel load. After the high-level packets are connected to the channel, the load level cannot reach the full load threshold, some low-priority packets that can be sent cannot be sent, and some channel resources are idle, resulting in a waste of channel resources

[0014] (2) The backoff time (that is, the time when a certain priority data packet is not sent) is set to multiple statistical periods. Even if some channels are idle during this period, the number of nodes sending packets will not increase, which will lead to waste of channel resources.

During the low-priority backoff process, if the number of high-priority packets is not enough to maintain the channel load to the full threshold, part of the channel carrying capacity will be idle, and the backoff time of multiple statistical periods will aggravate the situation of idle channel carrying capacity, resulting in Serious waste of channel resources

[0016] (3) The full load threshold is set according to the success rate of 99%, and there is a bit error rate of 1%, which will lead to the loss of channel resources

99% is less than 100%, resulting in a 1% bit error rate, and a 1% transmission failure rate will also cause collisions and retransmissions, wasting some channel resources and increasing the end-to-end delay of data packets

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