CN111327699B - Double-leader heartbeat weighting source tracing consensus method - Google Patents
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Abstract
The invention discloses a heartbeat weighting and source tracing consensus method for double leaders, which belongs to the technical field of block chain consensus and adopts a mode of combining a main chain and sub-chains, wherein different sub-chains correspond to different tracing stages, each sub-chain adopts a consensus method with different weighting coefficients, and the main chain integrates block information in the sub-chains in sequence to form a complete block chain in the tracing process. The method realizes the purposes of reducing election cost, keeping long-connection communication, highlighting the difference influence degree of each condition attribute on the decision attribute and the like by introducing double leaders, a heartbeat mechanism, weighting consensus and the like, improves the characteristics of non-tampering and traceability of the block chain, solves the most important trust problem in traceability and improves the public trust. The invention provides a new solution, which improves the common recognition efficiency and enhances the reliability of tracing by the fault tolerance rate of the tracing system.
Description
Technical Field
The invention relates to the technical field of block chain consensus, in particular to a heartbeat weighting and source tracing consensus method for double leaders.
Background
The blockchain originally enters the visual field of people as the underlying technology of bitcoin, and is gradually accepted by people due to good distributed storage, point-to-point transmission mechanism, data traceability and data tamper resistance. As the technology of the blockchain is mature, the application scenarios thereof are expanded, and the era of the blockchain 3.0 has been met. The consensus algorithm is an algorithm protocol for coordinating the consistency of all data in the whole network, and is a core problem in the block chain technology, and currently, several mainstream consensus algorithms include: the POW workload certification algorithm is mainly applied to an algorithm for generating bitcoin, achieves consensus and obtains reward at the cost of computing power, requires a node to obtain a value through the operation of double SHA256Hash, and causes great waste on computing power and energy of a computer; the POS right-of-stock proving algorithm has the basic idea that the more the node which has the most right-of-stock and obtains the accounting right is excited, and has the advantages of not wasting the calculation power compared with the POW algorithm, but has no way of ensuring the fair share distribution.
Meanwhile, most of the existing tracing technologies have the defects of incomplete tracing information, low persuasion and the like.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a double-leader heartbeat weighting and source tracing consensus method, which is suitable for a source tracing scene, reduces election cost, improves consensus efficiency and improves source tracing fault tolerance rate.
In order to achieve the purpose, the invention adopts the following technical scheme: a heartbeat weighting and source tracing consensus method for a dual-leader is characterized in that the consensus method adopts a mode that a main chain and sub-chains are combined, the main chain integrates sub-chain block information in sequence to form a complete block chain in a source tracing process, different sub-chains correspond to different stages of the source tracing, each sub-chain adopts different weighting coefficients, and the specific consensus process is as follows:
(1) determining the identity of a dual-leader heartbeat weighted tracing consensus node, wherein the dual-leader heartbeat weighted tracing consensus node comprises a main leader node, a backup leader node and a follower node, and the main leader node is used for communicating with the follower node and generating a block; the backup leader node synchronizes the data of the previously active main leader node; when the fact that a previously active main leader node stops service is determined, the backup leader node serves as the currently active main leader node and serves according to data synchronized with the previously active main leader node; the follower node is used for communicating with the main leader node and feeding back the current state of the follower node to the main leader node according to the request of the main leader node;
(2) the master leader node randomly sends a message to the follower nodes to request the follower nodes to reply the current corresponding states, and the follower nodes respond to the request and feed back the current states to the master leader node according to the request;
the master leader node and the follower nodes keep long-connection communication through a heartbeat mechanism;
(3) the master leader node performs weighted consensus according to the state fed back by the follower node;
(4) generating a block by the main leader node after the block is identified and writing the block into the sub-chain block;
and (4) repeating the consensus process from the step (1) to the step (4) until all the sub-chains in the main chain are traversed, and completing the heartbeat weighted tracing consensus of the double leaders.
As a preferred technical solution of the present invention, the determining process of the master leader node and the backup leader node is as follows: the method comprises the steps of electing a main leader node and a backup leader node through competition, specifically, electing two nodes as current active leader nodes among a plurality of competitors in a mortgage mode, wherein a competitor with a first mortgage share rank is the main leader node, and a competitor with a second mortgage share rank is the backup leader node.
Further, in the step (2), in a block generation period, the master leader node randomly sends a request to the follower node by sending a request packet, the follower node is required to reply to the current state, after receiving the request, the follower node feeds back the current state of the follower node to the master leader node within a specified time, and the default of the unrevealed state is an error state.
Further, the weighting consensus process in the step (3) is as follows: and giving a corresponding weight to each follower node according to the importance degree of the follower node, then performing weighted summation on the self weight of all the follower nodes and the feedback state, and passing consensus if the self weight is more than or equal to a preset consensus threshold value.
The weighted consensus process satisfies the following relationship:
wherein: s is a weighted sum function, wiWeight given to the importance level of the i-th follower node1+w2+w3+…+wi+…+wn＝1，xiRepresenting the status information fed back by the ith follower node, the numeral 1 represents the correct feedback status, the numeral 0 represents the incorrect feedback status, xiThe feedback state is judged according to a preset standard, if the feedback is correct, the feedback is represented by a number 1, if the feedback is incorrect or not, the feedback is represented by 0, and the specific judgment standard is divided into the following two conditions according to the difference of follower nodes: firstly, according to the standard of the reference range, if the feedback state is contained in the reference range, the feedback is determined to be correct and is represented by 1; and secondly, according to the feedback information as a standard, if the feedback information is normally fed back, the feedback information is correct and is represented by 1, and if the feedback information is not fed back, the feedback information is represented by 0.
Through the design scheme, the invention can bring the following beneficial effects: the double-leader heartbeat weighting traceability consensus method provided by the invention is suitable for traceability scenes, reduces election cost, improves consensus efficiency and improves traceability fault-tolerant rate. The traceability consensus method is applied to a product traceability system framework, a product traceability system can be defined according to actual production and sales processes of products, a mode that a main chain and sub-chains are combined is adopted in the traceability process, the main chain integrates sub-chain block information in sequence to form a complete block chain of the traceability process, the whole process is maintained, the safety of the whole process is protected, different sub-chains correspond to different stages of traceability, and each sub-chain adopts the consensus method with different weighting coefficients, so that the efficiency is improved.
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Fig. 1 is a schematic diagram illustrating a working principle of a dual-leader heartbeat-weighted tracing consensus method based on an agricultural product tracing system in the embodiment of the present invention.
Fig. 2 is a schematic view of the working principle of the planting stage consensus method in the agricultural product traceability process according to the embodiment of the present invention.
Detailed Description
The invention provides a heartbeat weighting and tracing consensus method for a dual-leader, which adopts a mode of combining a main chain and sub-chains, wherein the main chain integrates sub-chain block information in sequence to form a complete block chain in a tracing process, different sub-chains correspond to different stages of tracing, each sub-chain adopts different weighting coefficients, and the specific consensus process is as follows:
(1) determining the identity of a dual-leader heartbeat weighted tracing consensus node, wherein the dual-leader heartbeat weighted tracing consensus node comprises a main leader node, a backup leader node and a follower node, and the main leader node is used for communicating with the follower node and generating a block; the backup leader node synchronizes the data of the previously active main leader node; when the fact that a previously active main leader node stops service is determined, the backup leader node serves as the currently active main leader node and serves according to data synchronized with the previously active main leader node; the follower node is used for communicating with the main leader node and feeding back the current state of the follower node to the main leader node according to the request of the main leader node;
the determination process of the main leader node and the backup leader node is as follows: election a main leader node and a backup leader node through competition, specifically, election two of the main leader node and the backup leader node as current active leaders among a plurality of competitors in a mortgage mode, wherein a competitor with a first mortgage share rank is the main leader node, and a competitor with a second mortgage share rank is the backup leader node; if the main leader node fails, the backup leader node is used as the current active main leader node, and then a new backup leader node is generated by election;
the method adopts a mode of backing up the leader node, reduces the cost and time generated by frequently electing the leader node in the block chain, and greatly increases the fault tolerance rate in the system operation process;
(2) the method comprises the steps that a main leader node randomly sends a message to follower nodes in the current block generation period to request the follower nodes to reply the current corresponding states of the follower nodes, the follower nodes in different scenes are different, the main leader node and the follower nodes in different scenes keep long connection and communication through heartbeat, the follower nodes can feed back the corresponding states of the main leader node according to the current real situation after receiving the request of the main leader node, all data are not manually input and transmitted in the period, the most important reality of the data is kept, and the reliability of tracing is improved;
further, the main leader node and the follower nodes keep long connection communication through a heartbeat mechanism, the main leader node randomly sends a request to the follower nodes in a request packet sending mode in the current block generation period to request the follower nodes to reply to the current state, the follower nodes feed the current state of the follower nodes back to the main leader node within a specified time after receiving the request, and the default of the unrevealed state is an error state;
(3) the main leader node carries out weighting consensus according to the state fed back by the follower node, in the actual situation, the influence degrees of each condition attribute on the decision attribute are different, and the weight advantage relation is more consistent with the actual situation, so the invention introduces the weight. If the n follower nodes are independent, the weighted consensus algorithm is as follows:
wherein: s is a weighted sum function, wiWeight given to the importance level of the i-th follower node1+w2+w3+…+wi+…+wn＝1，xiRepresenting the status information fed back by the ith follower node, the numeral 1 represents the correct feedback status, the numeral 0 represents the incorrect feedback status, xiThe feedback state is judged according to a preset standard, a correct feedback is represented by a numeral 1, an error feedback or non-feedback is represented by 0, and specific judgment standards can be divided into the following two cases: firstly, according to the standard of the reference range, if the feedback state is contained in the reference range, the feedback is determined to be correct, for example, if the reference temperature range is 20-30 ℃, the feedback temperature value is 25 ℃, the feedback is determined to be correct, and the feedback is represented by 1; secondly, according to the information which can be fed back or not as the standard, if the feedback is normal, the feedback is correct, and is represented by 1, and if the feedback is not performed, the feedback is represented by 0;
(4) when the weighted sum is greater than or equal to the consensus threshold value, that is, f(s) is 1, the consensus passes, and after the consensus, a block is generated by the master leader node in the current stage, and is written into the child chain.
And (4) repeating the consensus process from the step (1) to the step (4) until all the sub-chains in the main chain are traversed, and completing the heartbeat weighted tracing consensus of the double leaders.
In the tracing consensus method, the communication and long connection are kept between the main leader node and the follower node in a mode of sending the request packet, wherein the request packet has two forms, when the request packet is empty, the request packet is used as a heartbeat to ensure the connection effectiveness, and when the request packet is not empty, the request packet specifically feeds back the current state to the follower node.
The tracing method can be used for producing and selling the products according to the actual production flow, the stage scenes are not fixed, and each stage has a strict progressive relation. The main chain integrates the subchain block information in sequence to form a complete block chain in the tracing process, the whole process is maintained, the safety of the whole process is protected, and the subchain selects a proper consensus mechanism according to an application scene, so that the efficiency is improved. The complete information of the data is stored in the local database and is not stored in the block chain, so that the block capacity is reduced.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail below with reference to specific embodiments and fig. 1 and 2.
A double-leader heartbeat weighting traceability consensus method takes a planting stage subchain consensus algorithm in an agricultural product traceability system covering planting, processing, transporting and selling stages as an example to describe the implementation process of the consensus method. The method comprises the following specific steps:
(1) the election leader: selecting two competitors among a plurality of competitors as current active leaders in a mortgage mode, wherein the competitor with the first mortgage share rank is a main leader node and is responsible for system operation, and the competitor with the second mortgage share rank is a backup leader node and is responsible for backing up the content of the main leader node; if the main leader node fails at a certain moment, starting a backup leader node immediately as a current new main leader node, and then electing to generate a new backup leader node;
(2) the master leader node randomly selects a sending time point to send messages to all the follower nodes in the current block generation period, requests the follower nodes to reply the current state, and the follower nodes respond to the request and feed back the current state according to the request. In the example, the number of follower nodes is five, and the five follower nodes respectively represent soil temperature, soil moisture, air humidity, air temperature and illumination intensity which are depended on by the growth of the agricultural product in the agricultural product planting stage;
(3) the master leader node carries out weighted consensus according to the reply message state, and the reply state of the ith follower node is recorded as xiIf the ith follower node returns to the state and is correct within the specified time, let xiIf not, let xi0. In this example, the follower nodes are given a weight w according to their importance in the growth of the agricultural product1、w2、w3、w4And w50.25, 0.35, 0.05, 0.10 and 0.25 respectively, the preset consensus threshold lambda of the invention is 0.8, and x is obtained according to the actual feedback situation of the follower node1、x2、x3、x4And x51, 0 and 1 respectively, and finally the master leader node is connectedComparing the over-weighted sum with a consensus threshold value to perform weighted consensus;
(4) the main leader node is responsible for generating blocks to write in the sub-chains after the consensus, the sub-chain consensus process in other traceability stages, such as the processing, transportation and sale stages, is similar to the steps, the main chain integrates sub-chain block information in sequence to form a complete block chain in the traceability process, the whole process is maintained, and the safety of the whole process is protected.
The invention discloses a heartbeat weighting traceability consensus method for double leaders, which solves the most important trust problem in traceability and improves the public trust by utilizing the characteristics that a block chain is not falsifiable and traceable. Aiming at the defects of incomplete traceability information, poor persuasion and the like of most of the prior traceability technologies, the invention provides a new solution, a mode of combining a main chain and sub-chains is adopted, different sub-chains correspond to different traceability stages, each sub-chain uses a consensus algorithm with different weighting coefficients, and the main chain integrates block information in the sub-chains in sequence to form a complete block chain in the traceability process. The method realizes the purposes of reducing election cost, keeping long-connection communication, highlighting the difference influence degree of each condition attribute on the decision attribute and the like by introducing double leaders, heartbeats, weighting and the like, improves the fault tolerance rate of the traceability system, improves the consensus efficiency and enhances the reliability of traceability.
The above list is only one specific embodiment of the present invention, and any directly derived modifications from the present invention shall be considered as the protection scope of the present invention.
Claims (3)
1. A heartbeat weighting and source tracing consensus method for a dual-leader is characterized in that the consensus method adopts a mode that a main chain and sub-chains are combined, the main chain integrates sub-chain block information in sequence to form a complete block chain in a source tracing process, different sub-chains correspond to different stages of the source tracing, each sub-chain adopts different weighting coefficients, and the specific consensus process is as follows:
(1) determining the identity of a dual-leader heartbeat weighted tracing consensus node, wherein the dual-leader heartbeat weighted tracing consensus node comprises a main leader node, a backup leader node and a follower node, and the main leader node is used for communicating with the follower node and generating a block; the backup leader node synchronizes the data of the previously active main leader node; when the fact that a previously active main leader node stops service is determined, the backup leader node serves as the currently active main leader node and serves according to data synchronized with the previously active main leader node; the follower node is used for communicating with the main leader node and feeding back the current state of the follower node to the main leader node according to the request of the main leader node;
(2) the master leader node randomly sends a message to the follower nodes to request the follower nodes to reply the current corresponding states, and the follower nodes respond to the request and feed back the current states to the master leader node according to the request;
the master leader node and the follower nodes keep long-connection communication through a heartbeat mechanism;
(3) the master leader node performs weighted consensus according to the state fed back by the follower node;
(4) generating a block by the main leader node after the block is identified and writing the block into the sub-chain block;
repeating the consensus process from the step (1) to the step (4) until all the sub-chains in the main chain are traversed, and completing the heartbeat weighting and source tracing consensus of the double leaders;
the determination process of the main leader node and the backup leader node is as follows: election a main leader node and a backup leader node through competition, specifically, election two nodes as current active leader nodes among a plurality of competitors in a mortgage mode, wherein a competitor with a first mortgage share rank is the main leader node, and a competitor with a second mortgage share rank is the backup leader node;
the weighting consensus process in the step (3) is as follows: and giving a corresponding weight to each follower node according to the importance degree of the follower node, then performing weighted summation on the self weight of all the follower nodes and the feedback state, and passing consensus if the self weight is more than or equal to a preset consensus threshold value.
2. The dual-leader heartbeat-weighted tracing consensus method as claimed in claim 1, wherein: in the step (2), in a block generation period, the master leader node randomly sends a request to the follower node by sending a request packet, the follower node is required to reply the current state, after receiving the request, the follower node feeds back the current state of the follower node to the master leader node within a specified time, and the default of the unrevealed state is an error state.
3. The dual-leader heartbeat-weighted tracing consensus method as claimed in claim 1, wherein: the weighted consensus process satisfies the following relationship:
wherein: s is a weighted sum function, wiWeight given to the importance level of the i-th follower node1+w2+w3+…+wi+…+wn＝1，xiRepresenting the status information fed back by the ith follower node, the numeral 1 represents the correct feedback status, the numeral 0 represents the incorrect feedback status, xiThe feedback state is judged according to a preset standard, if the feedback is correct, the feedback is represented by a number 1, if the feedback is incorrect or not, the feedback is represented by 0, and the specific judgment standard is divided into the following two conditions according to the difference of follower nodes: firstly, according to the standard of the reference range, if the feedback state is contained in the reference range, the feedback is determined to be correct and is represented by 1; and secondly, according to the feedback information as a standard, if the feedback information is normally fed back, the feedback information is correct and is represented by 1, and if the feedback information is not fed back, the feedback information is represented by 0.
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