Cryptocurrency Transaction Selection via Layer Two Segmentation
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Solution Overview
Problem
Current cryptocurrency transaction processing mechanisms lack a mechanism for parties to selectively target efficient and environmentally friendly computer nodes, leading to unnecessary resource usage as all nodes compete for transaction recording, resulting in inefficiencies and increased power consumption.
Innovation Solution
A framework that allows for selectively targeting a subset of computer nodes for processing cryptocurrency transactions by using a Layer Two cryptocurrency network, where payment channels and multi-signature agreements ensure efficient transactions outside the main network, reducing resource usage and enabling a secondary transaction fee for targeted nodes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If all computer nodes compete to process cryptocurrency transactions, then transaction processing capability is improved, but computational power consumption and memory usage increase substantially
Solution Approach 1:
The patent segments the computer node network into two distinct groups: target computer nodes that process cryptocurrency transactions and non-target computer nodes that do not. This segmentation is achieved through the transaction record containing specific criteria that only target nodes can satisfy. By dividing the network into functional segments, the system maintains transaction processing capability while reducing overall computational power consumption, as only a subset of nodes performs resource-intensive cryptographic operations.
Solution Approach 2:
The patent applies local quality by endowing specific computer nodes with target characteristics (such as specific hardware configurations, software versions, or operational parameters) that enable them to process transactions. The transaction record includes criteria that match these local qualities of target nodes. This allows the system to concentrate computational work in nodes with appropriate local qualities rather than distributing it uniformly across all nodes, thereby improving energy efficiency while maintaining processing capability.
2Reliability
If all computer nodes participate in transaction processing, then network decentralization is maintained, but resource efficiency decreases due to unnecessary participation of inefficient nodes
Solution Approach 1:
The patent segments the node population into target and non-target groups based on specific criteria embedded in the transaction record. This segmentation allows the system to maintain a decentralized network structure where multiple nodes can participate, while simultaneously improving resource efficiency by ensuring that only nodes meeting the specified criteria (target nodes) actually process transactions. Non-target nodes remain part of the decentralized network but do not consume resources on unsuccessful processing attempts.
Solution Approach 2:
The patent changes the parameter of node eligibility from a binary all-or-nothing participation model to a selective participation model based on multiple parameters (hardware specifications, software versions, operational characteristics). The transaction record encodes these parameters as selection criteria. This parameter-based selection maintains network decentralization by allowing diverse nodes to join the network, while improving resource efficiency by activating only those nodes whose parameters match the transaction requirements.
3Device complexity
If no selection mechanism is used for transaction processing, then system complexity is minimized, but computational resources are wasted on inefficient nodes
Solution Approach 1:
The patent implements preliminary action by pre-defining selection criteria in the transaction record before transaction processing begins. These criteria specify the characteristics that target nodes must possess. By establishing these selection parameters in advance, the system introduces a lightweight selection mechanism that does not significantly increase complexity during transaction execution. The criteria are simply matched against node characteristics, avoiding the need for complex real-time evaluation while preventing unnecessary resource consumption by non-qualifying nodes.
Solution Approach 2:
The patent introduces an intermediary selection mechanism embodied in the transaction record itself. The transaction record contains selection criteria that act as an intermediary filter between the transaction request and the node processing it. This intermediary layer adds minimal complexity because the criteria are embedded directly in the transaction data structure and require only simple comparison operations. However, it effectively prevents energy waste by ensuring that only nodes matching the criteria attempt processing, thereby reducing unnecessary computational resource consumption.
Data Source
AI summary
Networked computer nodes may collectively compete to process one more specific computing operations. A framework for selectively targeting a group of computer nodes as eligible to process the one or more computing operations is disclosed. A subset of computer nodes may be selected as targeted computer nodes for processing the computing operation based on a set of criteria. The one or more computing operations may include cryptographic operations.