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Method for implementing software defined QoS configuration in wireless sensor network based on fog calculation

A wireless sensor network and software-defined technology, applied in the field of network services, can solve the problems of not considering different types of data, and cannot realize QoS dynamic configuration, etc., and achieve the effect of improving the delay problem

Inactive Publication Date: 2017-06-13
SHANGHAI JIAO TONG UNIV +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the existing QoS technologies are mostly static and cannot meet this requirement.
[0004] In previous studies, cloud computing was used in WSNs based on fog computing to reduce energy consumption and delay. Dynamic configuration of QoS

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  • Method for implementing software defined QoS configuration in wireless sensor network based on fog calculation
  • Method for implementing software defined QoS configuration in wireless sensor network based on fog calculation
  • Method for implementing software defined QoS configuration in wireless sensor network based on fog calculation

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Embodiment Construction

[0029] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be pointed out that for those of ordinary skill in the art, several changes and improvements can be made without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0030] Wireless sensor networks based on fog computing usually include a fog node layer between the sensor network layer and the application layer. The fog node is similar to the edge of the cloud node, providing computing, storage, network services and other functions locally. The biggest difference between the architecture proposed by the present invention and traditional fog computing-based WSNs is that an SDN controller for dynamic QoS configuration is designed in the entire arc...

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PUM

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Abstract

The invention provides a method for implementing software defined QoS configuration in a wireless sensor network based on fog calculation. The method comprises the following steps: step 1, deploying an SDN controller between a fog node layer and an application layer; step 2, establishing a dynamically configured QoS architecture system, wherein the dynamically configured QoS architecture system comprises the application layer, an SDN control layer, the fog node layer and a sensor node layer, wherein a perception data stream, a data attribute data stream, a QoS strategy instruction data stream and a state data stream run in the dynamically configured QoS architecture system; and step 3, completing the QoS configuration based on the dynamically configured QoS architecture system. The method of the invention can dynamically configure different QoS strategies for different QoS services on one hand, and greatly improve the network delay problem on the other hand.

Description

Technical field [0001] The invention relates to the technical field of network services, in particular to a method for implementing software-defined QoS configuration in a wireless sensor network based on fog computing. Background technique [0002] With the increasing diversification of network services, people have higher and higher requirements for network service quality. QoS is a network security mechanism used to ensure network delay and congestion performance, so as to provide users with better network services. When the network is overloaded or congested, QoS can ensure that important traffic is not delayed or discarded, while ensuring the efficient operation of the network. [0003] Fog computing is a kind of edge cloud computing. All data and data processing are concentrated in devices at the edge of the network, instead of being stored in the cloud. Now, fog computing is considered to be the trend of the next generation of wireless sensor networks due to its low latency...

Claims

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Application Information

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IPC IPC(8): H04W28/24H04W84/18H04L12/24
CPCH04L41/0893H04L41/12H04L41/5003H04W28/24H04W84/18
Inventor 伍军黄丽娜李高磊李建华何珊郭龙华张尚华陈璐艺李高勇
Owner SHANGHAI JIAO TONG UNIV
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