CN103905542B - Data transmission method for Internet of Things and network node - Google Patents
Data transmission method for Internet of Things and network node Download PDFInfo
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- CN103905542B CN103905542B CN201410114379.9A CN201410114379A CN103905542B CN 103905542 B CN103905542 B CN 103905542B CN 201410114379 A CN201410114379 A CN 201410114379A CN 103905542 B CN103905542 B CN 103905542B
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Abstract
The invention provides a data transmission method for the Internet of Things and a network node. The data transmission method for the Internet of Things comprises the steps that the network node mixes various types of data corresponding to the same application, so that mixed data are obtained, the network node obtains the complexity of the mixed data, the network node selects one of paths corresponding to the application to serve as a target path, the network node obtains the transmission cost of the target path according to the complexity, the network node judges whether the transmission cost is smaller than a preset threshold value, and the network node transmits the mixed data according to the target path if yes. According to the data transmission method for the Internet of Things and the network node, the network node obtains the complexity of the mixed data, so that the target path with the transmission cost smaller than the preset threshold value is selected for the mixed data, the purpose of self-adaptive selection of the target path for the mixed data is achieved, the mixed data transmission cost can be reduced by transmitting the mixed data through the target path, and thus route resources can be saved.
Description
Technical field
The present invention relates to technology of Internet of things, more particularly to a kind of internet of things data transmission method and network node.
Background technology
Internet of Things is divided into sensing layer, transport layer（That is Internet）, process layer and application layer.Data acquisition in Internet of Things sets
Standby such as infrared sensor, radio frequency identification（Radio Frequency Identification, abbreviation RFID）Device or two dimension
Bar code etc. gets the physical characteristic of object, such as temperature, position information by perceiving, then the information of perception is converted into data
Be sent to application in Internet of Things such as intelligent transportation, authentication, based on location-based service and safety etc., to cause that each application is used
These data are provided the user to various services.
At present, it is necessary to data are sent into phase according to default transmission path after data acquisition equipment collects data
In the application answered, there is the defect that transmission path can not be adaptively chosen for data to be transmitted.
The content of the invention
The present invention provides a kind of internet of things data transmission method and network node, and existing in the prior art for solution can not
The defect of transmission path is adaptively chosen for data to be transmitted.
To achieve these goals, a kind of internet of things data transmission method that the present invention is provided, including：
Network node carries out being mixed to get blended data to the corresponding all types of data of same application；
The network node obtains the complexity of the blended data；
The network node chooses one as destination path from the corresponding transmission path of the application；
The network node obtains the transmission cost of the destination path according to the complexity；
Whether the network node judges the transmission cost less than predetermined threshold value；
If it is judged that being yes, blended data is transmitted according to the destination path described in the network node.
To achieve these goals, a kind of network node that the present invention is provided, including：
Mixing module, for carrying out being mixed to get blended data to the corresponding all types of data of same application；
First acquisition module, the complexity for obtaining the blended data；
Module is chosen, for choosing one from the corresponding transmission path of the application as destination path；
Second acquisition module, the transmission cost for obtaining the destination path according to the complexity；
Judge module, for judging the transmission cost whether less than predetermined threshold value；
Transport module, for after the judge module judges the transmission cost less than the threshold value, described will mix
Data are closed to be transmitted according to the destination path.
Internet of things data transmission method and network node that the present invention is provided, the same application of network node are corresponding all kinds of
Type data carry out being mixed to get blended data, and the network node obtains the complexity of the blended data, the network node
One is chosen as destination path from the corresponding path of the application, and the network node is according to the complexity is obtained
Whether the transmission cost of destination path, the network node judges the transmission cost less than predetermined threshold value, if it is judged that
It is yes, blended data is transmitted according to the destination path described in the network node.Network node in the present invention leads to
Cross obtain blended data complexity, be blended data choose transmission cost less than predetermined threshold value destination path, realize for
Blended data self adaptation chooses the purpose of destination path, and transmits blended data by destination path, can reduce mixed number
According to transmission cost such that it is able to save route resource.
Brief description of the drawings
Fig. 1 is a kind of schematic flow sheet of internet of things data transmission method that the embodiment of the present invention one is provided；
Fig. 2 is a kind of structural representation of network node that the embodiment of the present invention two is provided.
Specific embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention
In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is
A part of embodiment of the present invention, rather than whole embodiments.
Embodiment one
Fig. 1 is a kind of schematic flow sheet of internet of things data transmission method that the embodiment of the present invention one is provided, such as Fig. 1 institutes
Show, the internet of things data transmission method is comprised the following steps：
101st, network node carries out being mixed to get blended data to the corresponding all types of data of same application.
Specifically, the data that network node reception sends from different data acquisition equipment, such as sensor, are receiving
After the data that each data acquisition equipment sends, network node can get that each data are corresponding from each data for receiving should
With.The corresponding all types of data of the same application of network node carry out being mixed to get blended data.For example, network node can be by
The Various types of data of same application is packaged into a packet.
102nd, network node obtains the complexity of the blended data.
Specifically, network node takes according to needed for the unit-sized of all types of data with all types of data in memory space
The quantity of the unit-sized, obtains the first complexity of all types of data, and network node is multiple according to the first of all types of data
Miscellaneous degree the first weighted value corresponding with default all types of data, the complexity of blended data is calculated according to the first algorithm.
The specific formula of the first algorithm is：
In the present embodiment, X represents the complexity of blended data, aiIt is corresponding first weighted value of the i-th categorical data, XiTable
Show the first complexity of the i-th type kind data.
The specific formula of the first complexity of the i-th type kind data is：
In the present embodiment, LiRepresent the unit-sized of the i-th categorical data, MiRepresent the i-th categorical data take memory space in
The quantity of the unit-sized.Further, aiThe first complexity according to all types of data is set.It is alternatively possible to
A is preset to the demand difference of all types of data according to each applicationi, for example, in the application being monitored to road condition, by
It is the material evidence that vehicle peccancy judges in video data, the first weighted value of video data can be set as in the present embodiment
5, and the second weighted value of speech data is set to 2.
103rd, network node chooses one as destination path from the corresponding path of the application.
It is that different application is previously provided with many transmission paths in the present embodiment, each is applied into corresponding a plurality of transmission
Deposit within network nodes in path.After blended data is got, network node can be according to the corresponding application of blended data, from this
Using in corresponding all transmission paths, one transmission paths of selection are used as destination path.
104th, network node obtains the transmission cost of the destination path according to the complexity.
Complexity and destination path are being got, in order to determine whether the destination path chosen is that the blended data is suitable
Transmission path, network node needs to obtain the transmission cost of destination path according to the complexity of blended data.
Specifically, after the destination path chosen, network node can obtain the transmission range of the destination path.Further
Ground, network node is calculated according to the complexity of blended data, transmission range and default second weighted value according to the second algorithm
Obtain the transmission cost of destination path.
The specific formula of second algorithm is：
Y=αX+βZ
Wherein, Y represents the transmission cost of destination path, and X represents the complexity of mixed data flow, and Z represents destination path
Transmission range, α and β represents the second weighted value of the complexity and the transmission path respectively.
105th, whether network node judges the transmission cost less than predetermined threshold value.
After transmission cost is got, the network node transmission cost is compared with predetermined threshold value, to judge transmission
Whether cost is less than predetermined threshold value.In the present embodiment, if transmission cost is less than predetermined threshold value, the destination path of description selection
Transmission cost meets transmission requirement, and network node performs step 106；And if transmission cost is greater than predetermined threshold value,
The transmission cost of the destination path of description selection is larger, does not meet transmission requirement, and network node needs to be selected for the blended data
New transmission path is taken as destination path.Specifically, network node is judging transmission cost greater than the threshold
During value, return to execution step 103 and choose one as the destination path and subsequent operation from the corresponding path of the application,
Until the transmission cost of the destination path for selecting is less than the threshold value.
106th, blended data described in network node is transmitted according to the destination path.
When judging that the transmission cost of destination path is less than predetermined threshold value in step 105, network node is according to the target
During blended data is transferred to target terminal or equipment by path.
Herein it is to be appreciated that being able to carry out the Internet of Things data biography that the present embodiment one is provided by setting within network nodes
The equipment or software of transmission method, the method is realized by the equipment or software.
The internet of things data transmission method that the present embodiment is provided, by the corresponding all types of numbers of the same application of network node
According to carrying out being mixed to get blended data, the network node obtains the complexity of the blended data；The network node is from institute
State using choosing one in corresponding path as destination path, the network node obtains the target according to the complexity
Whether the transmission cost in path, the network node judges the transmission cost less than predetermined threshold value, if it is judged that be it is yes,
Blended data is transmitted according to the destination path described in the network node.Network node in the present embodiment is by obtaining
The complexity of blended data is taken, is that blended data chooses destination path of the transmission cost less than predetermined threshold value, it is mixing to realize
Data adaptive chooses the purpose of destination path, and transmits blended data by destination path, can reduce blended data
Transmission cost such that it is able to save route resource.
Embodiment two
Fig. 2 is a kind of structural representation of network node that the embodiment of the present invention two is provided, as shown in Fig. 2 the network section
Point includes：Mixing module 21, the first acquisition module 22, selection module 23, the second acquisition module 24, judge module 25 and transmission mould
Block 26.
Mixing module 21, for carrying out being mixed to get blended data to the corresponding all types of data of same application；
Specifically, mixing module 21 receives the data sent from different data acquisition equipment, such as sensor, is receiving
After the data sent to each data acquisition equipment, mixing module 21 can get each data correspondence from each data for receiving
Application, the corresponding all types of data of same application are carried out being mixed to get blended data.For example, mixing module 21 can will be same
The Various types of data of one application is packaged into a packet.
The first acquisition module 22 being connected with mixing module 21, the complexity for obtaining the blended data.
Specifically, the first acquisition module 22 is empty in storage according to needed for the unit-sized of all types of data with all types of data
Between take the quantity of the unit-sized, obtain the first complexity of all types of data, network node is according to all types of data
First complexity the first weighted value corresponding with default all types of data, answering for blended data is calculated according to the first algorithm
Miscellaneous degree.
Introduction on the first algorithm, the first complexity and the first weighted value can be found in related content in above-described embodiment one
Record, here is omitted.
The selection module 23 being connected with mixing module 21, for choosing one from the corresponding transmission path of the application
As destination path；
It is that different application is previously provided with many transmission paths in the present embodiment, each is applied into corresponding a plurality of transmission
Deposit within network nodes in path.After blended data is got, choose module 23 can according to the corresponding application of blended data, from
, using in corresponding all transmission paths, one transmission paths of selection are used as destination path for this.
The second acquisition module 24 being connected with the first acquisition module 22 and selection module 23, for being obtained according to the complexity
Take the transmission cost of the destination path.
Complexity and destination path are being got, in order to determine whether the destination path chosen is that the blended data is suitable
Transmission path, the second acquisition module 24 needs to obtain the transmission cost of destination path according to the complexity of blended data.
Specifically, after the destination path chosen, the second acquisition module 24 can obtain the transmission range of the destination path.
Further, the second acquisition module 24 is according to the complexity of blended data, transmission range and default second weighted value, according to
Second algorithm is calculated the transmission cost of destination path.
Introduction on the second algorithm, transmission range and the second weighted value can be found in related content in above-described embodiment one
Record, here is omitted.
The judge module 25 being connected with the second acquisition module 24, for judging the transmission cost whether less than default threshold
Value.
After transmission cost is got, be compared for the transmission cost and predetermined threshold value by judge module 25, to judge to pass
Whether defeated cost is less than predetermined threshold value.In the present embodiment, if transmission cost is less than predetermined threshold value, the destination path of description selection
Transmission cost meet transmission requirement, according to the destination path be transmitted the blended data by transport module 26.
And if transmission cost is greater than predetermined threshold value, the transmission cost of the destination path of description selection is more very much not
Meet transmission requirement, it is that the blended data chooses new transmission path as destination path to return and choose module 23.Specifically,
When judging that transmission cost is greater than the threshold value, choose module 23 and be additionally operable to again from the corresponding road of the application
One is chosen in footpath as the destination path until the transmission cost of the destination path for selecting is less than the threshold
Value.
In the present embodiment, the corresponding all types of data of the same application of network node carry out being mixed to get blended data, institute
State the complexity that network node obtains the blended data；The network node chooses one from the corresponding path of the application
Used as destination path, the network node obtains the transmission cost of the destination path, the network section according to the complexity
Whether point judges the transmission cost less than predetermined threshold value, if it is judged that being yes, mixed number described in the network node
It is transmitted according to according to the destination path.Network node in the present embodiment, by obtaining the complexity of blended data, is mixed
Destination path of the data decimation transmission cost less than predetermined threshold value is closed, is realized as blended data self adaptation chooses destination path
Purpose, and blended data is transmitted by destination path, the transmission cost of blended data can be reduced such that it is able to save route
Resource.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
Pipe has been described in detail with reference to foregoing embodiments to the present invention, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme.
Claims (6)
1. a kind of internet of things data transmission method, it is characterised in that including：
Network node carries out being mixed to get blended data to the corresponding all types of data of same application；
The network node obtains the complexity of the blended data；
The network node obtains the complexity of the blended data, including：
It is big that the network node takes the unit with all types of data according to the unit-sized of all types of data in memory space
Small quantity, obtains the first complexity of all types of data；
The network node is according to first complexity of all types of data corresponding with default all types of data
One weighted value, the complexity is calculated according to the first algorithm；
First algorithm is：Wherein, XiRepresent the complexity of the blended data, aiRepresent the i-th class
Corresponding first weighted value of type data, XiRepresent first complexity of the i-th categorical data；
First complexity of i-th categorical data is：LiThe unit-sized of the i-th categorical data is represented,
MiRepresent that the i-th categorical data takes the quantity of unit-sized described in memory space；
The network node chooses one as destination path from the corresponding transmission path of the application；
The network node obtains the transmission cost of the destination path according to the complexity；
The network node obtains the transmission cost of the destination path according to the complexity, including：
The network node obtains the transmission range of the destination path；
The network node according to the complexity, the transmission range and default second weighted value, according to the second algorithm
It is calculated the transmission cost；
Second algorithm is：Y=α X+ β Z, wherein, Y represents the transmission cost of the destination path, and X represents the mixed number
According to the complexity, Z represents the transmission range of the destination path, and α represents default described second power of the complexity
Weight values, β represents default described second weighted value of the transmission path；
Whether the network node judges the transmission cost less than predetermined threshold value；
If it is judged that being yes, blended data is transmitted according to the destination path described in the network node.
2. internet of things data transmission method according to claim 1, it is characterised in that also include：
If the transmission cost is greater than the threshold value, the network node re-executes corresponding from the application
One is chosen in path as the destination path until the transmission cost of the destination path for selecting is less than described
Threshold value.
3. the internet of things data transmission method according to any one of claim 1 or 2, it is characterised in that the network node
One is chosen from the corresponding transmission path of the application as destination path, including：
The network node is previously stored with and the corresponding transmission path of the application；
The network node chooses one as the destination path from the corresponding transmission path of the application.
4. a kind of network node, it is characterised in that including：
Mixing module, for carrying out being mixed to get blended data to the corresponding all types of data of same application；
First acquisition module, the complexity for obtaining the blended data；
First acquisition module, accounts for all types of data specifically for the unit-sized according to all types of data in memory space
With the quantity of the unit-sized, obtain the first complexity of all types of data, the first complexity according to all types of data with
Corresponding first weighted value of default all types of data, the complexity is calculated according to first algorithm；
The specific formula of first algorithm is：Wherein, XiRepresent the complexity of the blended data, ai
Represent corresponding first weighted value of the i-th categorical data, XiRepresent first complexity of the i-th categorical data；
The specific formula of the first complexity of i-th categorical data is：LiRepresent the institute of the i-th categorical data
State unit-sized, MiRepresent that the i-th categorical data takes the quantity of unit-sized described in memory space；
Module is chosen, for choosing one from the corresponding transmission path of the application as destination path；
Second acquisition module, the transmission cost for obtaining the destination path according to the complexity；
Second acquisition module, the transmission range specifically for obtaining the destination path, according to the complexity, the biography
Defeated distance and default second weighted value, the transmission cost is calculated according to the second algorithm；
The specific formula of second algorithm is：Y=α X+ β Z, wherein, Y represents the transmission cost of the destination path, and X represents institute
The complexity of blended data is stated, Z represents the transmission range of the destination path, and α represents the default institute of the complexity
The second weighted value is stated, β represents default described second weighted value of the transmission path；
Judge module, for judging the transmission cost whether less than predetermined threshold value；
Transport module, for after the judge module judges the transmission cost less than the threshold value, by the mixed number
It is transmitted according to according to the destination path.
5. network node according to claim 4, it is characterised in that also include：
The selection module, is additionally operable to the judge module and judges the transmission cost greater than after the threshold value,
Re-execute and choose one as the destination path until the target road for selecting from the corresponding path of the application
The transmission cost in footpath is less than the threshold value.
6. the network node according to claim 4 or 5, it is characterised in that the selection module, specifically for prestoring
Have with the corresponding transmission path of the application, from the corresponding transmission path of the application choose one as the target road
Footpath.
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| CN107360098B (en) * | 2017-06-16 | 2020-10-20 | 深圳市盛路物联通讯技术有限公司 | Internet of things terminal information addressing method and device |
| CN108881057B (en) * | 2018-04-20 | 2022-08-02 | 网宿科技股份有限公司 | Method for selecting back source line and flow distributor |
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| CN1472924A (en) * | 2003-07-11 | 2004-02-04 | �廪��ѧ | Selecting method based on path-time delay probability distribution |
| CN1756233A (en) * | 2004-09-30 | 2006-04-05 | 富士通株式会社 | Route selection method in the communication network and device |
| CN1984020A (en) * | 2006-06-08 | 2007-06-20 | 华为技术有限公司 | Method and device for transmitting data |
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