Invention Grant
- Patent Title: System and method using a fitness-gradient blockchain consensus and providing advanced distributed ledger capabilities via specialized data records
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Application No.: US16902010Application Date: 2020-06-15
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Publication No.: US11509464B2Publication Date: 2022-11-22
- Inventor: Luis Eduardo Gutierrez-Sheris
- Applicant: Luis Eduardo Gutierrez-Sheris
- Applicant Address: US NJ Glen Rock
- Assignee: Luis Eduardo Gutierrez-Sheris
- Current Assignee: Luis Eduardo Gutierrez-Sheris
- Current Assignee Address: US NJ Glen Rock
- Agency: Hamilton, Brook, Smith & Reynolds, P.C.
- Main IPC: H04L29/06
- IPC: H04L29/06 ; H04L9/08 ; H04L12/46 ; H04L67/104 ; H04L9/32 ; G06Q40/04

Abstract:
An improved system implements Fitness Gradient Consensus including hash distance and bucket consensus variations within a digital blockchain by calculating the highest fitness value among competing blocks to resolve conflicts and allocate the rewards associated with building new blocks. The consensus system applies conflict resolution formulas to incentivize block-building nodes to share blocks generated, as it completes construction, to improve chances of a reward, resulting in enhanced speed and security of blockchain.
The hash distance consensus utilizes a hash distance scalar value as part of its fitness metric, and the bucket consensus assigns tokens to buckets and calculates an aggregate value of the assigned tokens. A trust-but-verify variant increases transactional throughput and reduces linearity and computational constraints.
The system also utilizes novel record types, such as token genesis, transfer, transaction, trade order, settlement, proposition, determination, and pattern linkage records to facilitate the automation of financial, commercial and legal processes.
The hash distance consensus utilizes a hash distance scalar value as part of its fitness metric, and the bucket consensus assigns tokens to buckets and calculates an aggregate value of the assigned tokens. A trust-but-verify variant increases transactional throughput and reduces linearity and computational constraints.
The system also utilizes novel record types, such as token genesis, transfer, transaction, trade order, settlement, proposition, determination, and pattern linkage records to facilitate the automation of financial, commercial and legal processes.
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