Blockchain consensus-based distributed power transaction agent node selection method and system
A technology of distributed power and proxy nodes, applied in the field of blockchain, can solve problems such as low efficiency, slow processing speed, and inability to meet distributed processing needs, and achieve the effect of high efficiency and fast processing speed
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Embodiment 1
[0048] figure 1 It is a flow chart of the distributed power transaction agent node selection method based on blockchain consensus. Such as figure 1 As shown, the present invention provides a block chain consensus distributed power transaction proxy node selection method, the method includes the following steps:
[0049] S1: count the first parameter value of each node of the block chain, and determine the credit value of each node based on the first parameter value;
[0050] In this step, a dynamically updated node credit value attribute table is maintained in the system. The table contains five elements, the credit value C cre It mainly consists of five parts: transaction cycle value T, transaction capacity value P, transaction deviation value D, credit loss ΔC - and gain ΔC + , these five elements are constants in the interval [0, 10], and have no unit dimension.
[0051] Among them, the deviation value is defined as formula (1).
[0052]
[0053] where E real It ...
Embodiment 2
[0086] image 3 It is a schematic diagram of the block chain consensus distributed power transaction agent node selection system structure. Such as image 3 As shown, the present invention also provides a block chain consensus distributed power transaction agent node selection system, the system includes:
[0087] The first determination module is used to count the first parameter value of each node in the block chain, and determine the credit value of each node based on the first parameter value;
[0088] An acquisition module, configured to acquire the second parameter value of each node according to the result of the interoperation between each node of the block chain;
[0089] A second determination module, configured to determine the consensus value of each node based on the credit value of each node and the second parameter value;
[0090] The third determination module is configured to determine the optimal proxy node and candidate proxy nodes based on the consensus ...
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