Dynamic deficit weighted round robin scheduling method suitable for mine internet-of-thing multi-service transmission

Abstract

The invention provides a dynamic deficit weighted round robin scheduling method suitable for mine internet-of-thing multi-service transmission. The method comprises the following steps: gathering datacollected by downhole sensors to a gateway; classifying the data collected by the sensors according to priority and arranging the data to corresponding levels of scheduling queues; through a scheduling server, serving the queues in sequence according to delay priority; when serving some queue, judging whether to send a data packet according to the deficit counter value of the queue; and when updating the deficit counter of the queue, not only considering delay priority of the queue, but also considering network burst traffic and historical queuing delay. By adding two factors of instantaneousqueue arrival rate and historical queuing delay, the method can adjust deficit distribution adaptively when a network has burst traffic, and can effectively prevent the phenomenon of queue congestionof low-priority queues due to less allocation of resources.

Description

technical field [0001] The invention belongs to the field of multi-type business scheduling and transmission of the Internet of Things in mines, and specifically relates to a dynamically adjusted balance-weighted round-robin transmission scheduling method according to the QoS (Quality of Service) requirements of different types of businesses in the mine network. Background technique [0002] Coal is an important energy source in our country. As a basic industry and resource production industry, the coal mining industry plays a pivotal role in our country and has contributed a lot to the stable development of the country. However, the coal mining industry is also an industry with extremely unstable safety. Coal mining safety accidents occur from time to time, which seriously restricts the development of the coal industry and threatens the personal safety of mine workers. On the one hand, due to the complex geological structure of mines in various regions of the country, the t...

AI Technical Summary

Problems solved by technology

Although the above algorithms improve the performance in the face of multi-type business flows, these algorithms mainly focus on the queue delay at the scheduling time, and do not consider the data arrival rate of the queue and the historical queuing delay of the queue, so they cannot be used in the network Ensure good fairness when encountering burst traffic or excessive queuing delay in queue history

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