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Forwarding node dormancy scheduling method and system based on business volume prediction

A forwarding node, scheduling method technology, applied in advanced technology, power management, electrical components, etc., can solve problems such as energy efficiency reduction, and achieve the effect of reducing energy consumption, strong adaptability, and accurate prediction

Inactive Publication Date: 2019-10-15
上海驹源通信科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, since the adaptive sleep time Tsleep is also a fixed value, this will also lead to a reduction in energy efficiency

Method used

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  • Forwarding node dormancy scheduling method and system based on business volume prediction
  • Forwarding node dormancy scheduling method and system based on business volume prediction
  • Forwarding node dormancy scheduling method and system based on business volume prediction

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Embodiment Construction

[0064] Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided for more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0065] Those skilled in the art will understand that unless otherwise stated, the singular forms "a", "an", "said" and "the" used herein may also include plural forms. It should be further understood that the word "comprising" used in the description of the present invention refers to the presence of said features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more o...

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Abstract

The invention relates to a sleep scheduling method and sleep scheduling system based on node traffic prediction, and the method comprises the following steps: monitoring a node packet receiving parameter in each time interval in a preset number of time intervals of each forwarding node, and obtaining a preset number of node packet receiving parameters; calculating a node packet receiving parameterprediction value of the next time interval according to the traffic prediction model and a predetermined number of node packet receiving parameters; judging whether the predicted value of the node packet receiving parameter is 0 or not within a preset time, if so, calculating the average packet receiving rate of the node, and according to the average packet receiving rate of the node and the packet receiving rate-dormancy time relation model, obtaining the node dormancy time,and performing dormancy according to the node dormancy time. According to the method, the node sleep time is calibratedand adjusted by taking the node packet receiving rate as the reference of the node service volume, so that the sleep time can be automatically adjusted according to the busy degree of the forwardingnode, and the adaptability is higher.

Description

technical field [0001] The present invention relates to the technical field of cognitive network energy consumption, in particular to a method and system for dormant scheduling of forwarding nodes based on business volume prediction. Background technique [0002] Cognitive multi-hop network is a network system composed of cognitive radio technology. This network system makes full use of the advanced technology introduced by computer network to solve the problems encountered in traditional wireless networks. The research of cognitive multi-hop network is different from the research of cognitive radio, and the research of cognitive multi-hop network covers all layers of the open system interconnection model. One of the early defined cognitive multi-hop networks describes a network with cognitive processes in which it senses current network conditions, plans, makes decisions, reacts behaviorally to current conditions, and learns from behaviors results, and follow end-to-end go...

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Application Information

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IPC IPC(8): H04W52/02H04W24/06
CPCH04W24/06H04W52/0203H04W52/0248Y02D30/70
Inventor 宋梁李哲张雪茹
Owner 上海驹源通信科技有限公司