CN116566995B - Block chain data transmission method based on classification and clustering algorithm - Google Patents
Block chain data transmission method based on classification and clustering algorithm Download PDFInfo
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- CN116566995B CN116566995B CN202310835814.6A CN202310835814A CN116566995B CN 116566995 B CN116566995 B CN 116566995B CN 202310835814 A CN202310835814 A CN 202310835814A CN 116566995 B CN116566995 B CN 116566995B
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- 230000005540 biological transmission Effects 0.000 title claims abstract description 89
- 238000000034 method Methods 0.000 title claims abstract description 39
- 230000035945 sensitivity Effects 0.000 claims abstract description 9
- 238000005242 forging Methods 0.000 claims description 22
- 238000013524 data verification Methods 0.000 claims description 6
- 101100368725 Bacillus subtilis (strain 168) tagF gene Proteins 0.000 claims description 3
- 238000012546 transfer Methods 0.000 claims description 3
- 238000004806 packaging method and process Methods 0.000 claims description 2
- 238000012795 verification Methods 0.000 abstract 1
- 238000012856 packing Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000002474 experimental method Methods 0.000 description 1
- 238000005192 partition Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 238000010187 selection method Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1044—Group management mechanisms
- H04L67/1046—Joining mechanisms
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/232—Non-hierarchical techniques
- G06F18/2321—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions
- G06F18/23213—Non-hierarchical techniques using statistics or function optimisation, e.g. modelling of probability density functions with fixed number of clusters, e.g. K-means clustering
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2431—Multiple classes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/50—Queue scheduling
- H04L47/62—Queue scheduling characterised by scheduling criteria
- H04L47/625—Queue scheduling characterised by scheduling criteria for service slots or service orders
- H04L47/6275—Queue scheduling characterised by scheduling criteria for service slots or service orders based on priority
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/104—Peer-to-peer [P2P] networks
- H04L67/1074—Peer-to-peer [P2P] networks for supporting data block transmission mechanisms
- H04L67/1078—Resource delivery mechanisms
- H04L67/108—Resource delivery mechanisms characterised by resources being split in blocks or fragments
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The invention relates to the technical field of data transmission and discloses a block chain data transmission method based on a classification and clustering algorithm. According to the invention, the existing blockchain transmission data is classified according to the characteristic of time sensitivity, the higher the time sensitivity is, the higher the priority is for the transmission data, the real-time performance of specific data in a network system is ensured, corresponding nodes can be clustered, and under the condition that the types of the transaction data are all transaction data, the transaction transmission data generated by the nodes in the transaction node cluster are transmitted preferentially, so that the verification of the data generated subsequently is more ensured, and the reliability of the whole system is ensured.
Description
Technical Field
The invention relates to the technical field of data transmission, in particular to a block chain data transmission method based on a classification and clustering algorithm.
Background
At present, data transmission is to transmit data from a data source to a data terminal through one or more data links according to a certain procedure, the main effect of the method is to realize information transmission and exchange between points, a good data transmission mode can improve the real-time performance and reliability of data transmission, the blockchain data transmission method is different from the traditional distributed storage in blockchain technology, and the uniqueness of the distributed storage of blockchains is mainly represented in two aspects: firstly, each node of the blockchain stores complete data according to a block chain structure, the traditional distributed storage generally divides the data into a plurality of parts for storage according to a certain rule, secondly, each node of the blockchain stores independent and equivalent status, the consistency of storage is ensured by means of a consensus mechanism, the traditional distributed storage generally synchronizes the data to other backup nodes through a central node, and no node can independently record account data, thereby avoiding the possibility that a single accounting person is controlled or is brined to record a false account, and the account node is enough, so that the account is not lost unless all nodes are destroyed in theory, and the safety of the account data is ensured.
However, the current blockchain data transmission method has at least the following defects:
the existing block chain data transmission method cannot classify the priority of data types and the time sensitivity of the data, so that the real-time performance of specific data in a network system cannot be ensured;
in the current blockchain data transmission method, the nodes cannot perform clustering work, so that the nodes in the transaction node cluster cannot generate preferential transmission of transaction data, and therefore, the reliability cannot be ensured when a large amount of transaction data is generated.
Therefore, we propose a block chain data transmission method based on classification and clustering algorithm.
Disclosure of Invention
The invention aims to provide a block chain data transmission method based on a classification and clustering algorithm, which can preferentially transmit important data and data with a time threshold of arrival by classifying the prior block chain transmission data and classifying the prior block chain transmission data according to the time sensitivity characteristic, thereby solving the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: a block chain data transmission method based on classification and clustering algorithm comprises a block chain system, wherein the block chain system comprises user nodes, transmission nodes and consensus nodes, the user nodes comprise block chain clients, a data classification system is arranged in each block chain client, and the data classification system can divide transmission data into transaction data, NFT (network File transfer) forging data, traceability data and other data;
the transmission node is in data connection with the user node, a data classification and identification system is arranged in the transmission node, the data classification and identification system can identify and sort data classifications, and the transmission node can adjust the data transmission sequence according to the data priority;
the common node is in data connection with the user node, and the user node, the transmission node and the common node are respectively internally provided with a clustering distribution classification system which clusters the nodes for transmitting different types of data;
the block chain system is provided with a data time sensitivity classification system, and the transaction data, the NFT forging data, the traceability data and other data are all provided with time stamps and corresponding time thresholds when uploaded;
the specific method comprises the following steps: the transmission node receives data transmitted by other nodes, firstly identifies the label of the data, when the data with the same priority is received, identifies the type of the source node transmitting the data, and transmits or packages the data according to the priority of the node in the cluster where the source node is located, when the transmission data with lower priority reaches the corresponding time threshold, and at the moment, the transmission or packaging is immediately carried out if the priority is highest.
As a preferred embodiment of the present invention, the transaction data, NFT forging data, trace data, and other data may be defined as 4 priorities according to these types, where the transaction data is priority 1, the NFT forging data is priority 2, the trace data is priority 3, and the other data is priority 4.
As a preferred embodiment of the present invention, the cluster distribution classification system may divide the data types into 4 clusters, and the priorities of nodes in the 4 clusters are the same as the priorities of the transmission data types.
As a preferred embodiment of the present invention, a tag dividing system is provided in the blockchain system, and the tag dividing system is divided into four groups.
As a preferred embodiment of the present invention, the transaction data, NFT forging data, trace source data, and other data may be classified into a transaction tag1, an NFT forging data tag2, a trace source data tag3, and other data tags tag4 according to priorities.
As a preferred embodiment of the present invention, a tag identification system is provided in the transmission node.
As a preferred embodiment of the present invention, the time thresholds of the transaction data, NFT forging data, trace data, and other data are different, and the higher the priority of each type of data, the lower the time threshold thereof.
As a preferred embodiment of the present invention, a data verification system is provided in the consensus node, and the data verification system can verify related data transmitted by the user node, and generate blocks and broadcasts.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the block chain data transmission method based on the classification and clustering algorithm, the priority classification is carried out on the existing block chain transmission data, and meanwhile, the classification is carried out according to the time sensitivity characteristics, so that the higher the time sensitivity of the transmission data is, the higher the priority of the transmission data is, and the real-time property of specific data in a network system is ensured.
2. According to the block chain data transmission method based on the classification and clustering algorithm, clustering is carried out through the corresponding nodes, under the condition that the types of transaction data are all the types of the transaction data, the transaction transmission data generated by the nodes in the transaction node cluster are transmitted preferentially, and the probability of generating the transaction data in the transaction node cluster is higher, so that the faster the transaction is carried out, the follow-up generated data verification is guaranteed, and the reliability of the whole system is guaranteed.
Drawings
For a more clear description of the technical solutions of the embodiments of the present invention, reference will now be made to the following detailed description of non-limiting embodiments, with reference to the accompanying drawings, in which it is apparent that the drawings used in the following description are only some embodiments of the present invention, and from which other drawings can be obtained without inventive effort to a person skilled in the art.
FIG. 1 is a system architecture diagram of a blockchain data transmission method based on a classification and clustering algorithm of the present invention;
FIG. 2 is a block chain data classification and transmission flow chart of the block chain data transmission method based on classification and clustering algorithm of the invention;
FIG. 3 is a block chain point clustering flow chart of the block chain data transmission method based on classification and clustering algorithm of the invention;
fig. 4 is a block chain system data transmission flow chart of the block chain data transmission method based on the classification and clustering algorithm.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1
Referring to fig. 1-4, the present invention provides a technical solution: a block chain data transmission method based on classification and clustering algorithm comprises a block chain system, wherein the block chain system comprises user nodes, transmission nodes and consensus nodes, the user nodes comprise block chain clients, a data classification system is arranged in each block chain client, and the data classification system can divide transmission data into transaction data, NFT (network File transfer) forging data, traceability data and other data.
The system is characterized in that a tag dividing system is arranged in the blockchain system and is divided into four groups, and transaction data, NFT forging data, tracing data and other data can be divided into a transaction tag1, an NFT forging data tag2, a tracing data tag3 and other data tags tag4 according to priorities.
In addition, a data time sensitivity classification system is arranged in the blockchain system, the transaction data, the NFT forging data, the tracing data and other data are all provided with time stamps and corresponding time thresholds when uploaded, the time thresholds of the transaction data, the NFT forging data, the tracing data and other data are different, and the higher the priority of each type of data is, the lower the time threshold is.
In this embodiment, according to the fact that the transmission data is classified into 4 major categories, the transaction data is more severe in time delay, so that the faster the transmission and the output of the block are the guarantee of convenience and reliability of both transaction parties, the priority is highest, the data of the category is subjected to label processing, the label tag is 1, the nft forging data label tag is 2, the tracing data label tag is 3, the other data labels tag are 4, the priority is successively decreased according to the tag label tag, the lower the priority of the tag is, so that when the node receives the data of different data types at the same time, the transmission is performed according to the grade of the tag classification, and the smaller the tag is, the priority is transmitted.
However, in order to prevent excessive backlog of data of other tags, transmission and consensus cannot be performed for a long time, each type of transmission data has not only a time stamp, but also a time threshold value for transmission, different types of time thresholds are different, the smaller the time threshold value with high priority is, when the time threshold value of the transmission data reaches in the transmission process, other nodes can preferentially transmit and package the data when receiving the data, and the reliability and the instantaneity of the transmission of all the different types of data in the whole network are ensured.
Example 2
Referring to fig. 1, the transmission node is in data connection with the user node, a data classification and identification system is arranged in the transmission node, the data classification and identification system can identify and sort data classifications, and the transmission node can adjust the data transmission sequence according to the data priority.
The transaction data, NFT forging data, tracing data and other data may be defined as 4 priorities according to these types, where the transaction data is priority 1, the NFT forging data is priority 2, the tracing data is priority 3, and the other data is priority 4.
In addition, a tag identification system is arranged in the transmission node.
In this embodiment, the user node mainly runs the blockchain client by the relevant user, and then transmits relevant data to the blockchain for uplink, and the transmitted data is classified correspondingly according to different types of the transmitted data, and the classification can be classified into four types according to priorities.
Example 3
Referring to fig. 4, the common node is in data connection with the user node, and the user node, the transmission node and the common node are respectively provided with a cluster distribution classification system, and the cluster distribution classification system can cluster the data of different types through transmission.
The cluster distribution classification system can divide the data types into 4 clusters, and the priority of nodes in the 4 clusters is the same as the priority of the transmission data types.
In addition, a data verification system is arranged in the consensus node, and the data verification system can verify related data transmitted by the user node and generate blocks and broadcasting.
In this embodiment, the clustering is performed according to different types of data transmitted by different nodes, and since the same client node transmits different types of data in different application scenarios, the system clusters according to the density of transmitting different types of data, and since each node generates the above-mentioned 4 types of data with different frequency, the nodes are clustered using k-means algorithm according to the number of generated as density partition, and the specific steps are as follows:
(1) the number of clusters is designated, and the number of clusters generated for a node is 4 because the system divides transmission data into 4 types.
(2) Because each node may generate the 4 types of data, according to the time t of each node added into the blockchain as a selection factor, the frequency P=M/t of various types of data is generated as a final clustering division standard of the node, wherein M is the frequency of the corresponding data type, each type of node with the highest frequency is selected as a cluster center, if the nodes with the same frequency exist, one node is selected from the nodes as the cluster center by a random selection method, and the nodes are respectively marked as u1, u2, u3 and u4 for the 4 cluster center nodes.
(3) In other nodes, the frequency Pt (t=1, 2,3, 4) of each type of data is calculated, then the minimum distance from the frequency of the center of each cluster is calculated, the node is assigned to the cluster with the corresponding minimum distance, and if the minimum distances of multiple types are equal, the node is randomly divided into the corresponding clusters.
(4) Since the data type generated by each node is transformed in real time, the clusters generated by the corresponding clusters need to be updated at regular time, and therefore, after the timing T, the steps (1) to (3) are repeated to generate the corresponding cluster class.
In the system, the nodes are classified by a clustering algorithm, so that 4 corresponding clusters can be formed after the clustering of the data of different types is carried out, the priority of the nodes in the 4 corresponding clusters is the same as the priority of the data type, therefore, the node A and the node B are assumed to transmit NFT forged data, the cluster where the node A is located is also the NFT forged node cluster, the node B is the transaction node cluster, and the transmission priority of the node A is higher than that of the node B.
When the data transmission method is operated, firstly, the transmission node can receive data transmitted by other nodes, identify the tag of the transmitted data, transmit the tag according to the defined priority in the system, if the priority of the data tag is 1, put the tag into a queue to be transmitted or packed, then identify the type of a source node for transmitting the data, if the tag is a transaction node cluster in a clustering algorithm, transmit or pack the data immediately, which indicates that the data is the transmission data with the priority of 1, but the cluster where the source node is located is different, the priority is also different, but when the transmission data with the lower priority reaches a transmission threshold, the transmission or packing is needed immediately, the priority is also the highest priority, and the problem caused by the fact that the transmission or packing is not shared for a long time is prevented.
It should be noted that, the present invention is a block chain data transmission method based on classification and clustering algorithm, the components are all universal standard components or components known to those skilled in the art, and the structures and principles thereof are all known to those skilled in the art through technical manuals or through routine experimental methods.
Claims (8)
1. The block chain data transmission method based on the classification and clustering algorithm comprises a block chain system, and is characterized in that the block chain system comprises user nodes, transmission nodes and consensus nodes, wherein the user nodes comprise block chain clients, a data classification system is arranged in each block chain client, and the data classification system can divide transmission data into transaction data, NFT (network File transfer) forging data, tracing data and other data;
the transmission node is in data connection with the user node, a data classification and identification system is arranged in the transmission node, the data classification and identification system can identify and sort data classifications, and the transmission node can adjust the data transmission sequence according to the data priority;
the common node is in data connection with the user node, and the user node, the transmission node and the common node are respectively internally provided with a clustering distribution classification system which clusters the nodes for transmitting different types of data;
the block chain system is provided with a data time sensitivity classification system, and the transaction data, the NFT forging data, the traceability data and other data are all provided with time stamps and corresponding time thresholds when uploaded;
the specific method comprises the following steps: the transmission node receives data transmitted by other nodes, firstly identifies the label of the data, when the data with the same priority is received, identifies the type of the source node transmitting the data, and transmits or packages the data according to the priority of the node in the cluster where the source node is located, when the transmission data with lower priority reaches the corresponding time threshold, and at the moment, the transmission or packaging is immediately carried out if the priority is highest.
2. The method for transmitting blockchain data based on classification and clustering algorithm as in claim 1, wherein the method comprises the following steps: the transaction data, NFT forging data, tracing data and other data can be defined as 4 priorities according to the types, wherein the transaction data is priority 1, the NFT forging data is priority 2, the tracing data is priority 3, and the other data is priority 4.
3. The method for transmitting the blockchain data based on the classification and clustering algorithm as in claim 2, wherein the method comprises the following steps: the cluster distribution classification system may divide the data types into 4 clusters, and the priority of nodes in the 4 clusters is the same as the priority of transmitting the data types.
4. The method for transmitting blockchain data based on classification and clustering algorithm as in claim 1, wherein the method comprises the following steps: the block chain system is provided with a label dividing system which is divided into four groups.
5. The method for transmitting blockchain data based on classification and clustering algorithm as in claim 1, wherein the method comprises the following steps: the transaction data, NFT forging data, trace source data and other data can be classified into a transaction tag1, an NFT forging data tag2, a trace source data tag3 and other data tags tag4 according to priorities.
6. The method for transmitting blockchain data based on classification and clustering algorithm as in claim 1, wherein the method comprises the following steps: and a tag identification system is arranged in the transmission node.
7. The method for transmitting blockchain data based on classification and clustering algorithm as in claim 5, wherein the method comprises the following steps: the time thresholds of the transaction data, the NFT forging data, the tracing data and other data are different, and the higher the priority of each type of data is, the lower the time threshold is.
8. The method for transmitting blockchain data based on classification and clustering algorithm as in claim 1, wherein the method comprises the following steps: and a data verification system is arranged in the consensus node, and can verify related data transmitted by the user node and generate blocks and broadcasting.
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