Edge Computing Node Distributed Ledger Consensus
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Solution Overview
Problem
Blockchain technology faces limitations in scalability and security, particularly in handling high transaction volumes and being vulnerable to '51% attacks', while also raising privacy concerns due to its decentralized nature.
Innovation Solution
A multi-access edge computing node system that utilizes radio access network infrastructure for cellular communication, featuring a distributed ledger with chained data blocks that are validated by trusted nodes through a delegated proof of stake consensus mechanism, reducing latency and enhancing security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple machine consensus is required for transaction validation in blockchain, then security is improved, but latency increases when numerous transactions are simultaneously processed
Solution Approach 1:
The system segments the blockchain network into multiple zones with different consensus requirements. High-value transactions require full multi-node consensus for security, while low-value transactions can be processed with simplified consensus mechanisms, reducing overall latency while maintaining security for critical operations.
Solution Approach 2:
The patent implements partial consensus by requiring only a threshold number of nodes (e.g., 2 out of 3) to validate transactions rather than requiring all nodes to reach consensus. This partial action approach maintains adequate security while significantly reducing validation latency for high-volume transaction scenarios.
2Adaptability or versatility
If blockchain technology is scaled to support IoT applications, then application capability is improved, but latency and processing time increase
Solution Approach 1:
The system introduces a temporal dimension to transaction processing by implementing different consensus speeds for different transaction types. Critical IoT transactions use fast-track processing with reduced consensus requirements, while non-critical transactions undergo full validation, enabling scalable IoT support without uniform latency increases across all applications.
Solution Approach 2:
The patent introduces intermediary layer nodes that aggregate multiple IoT device transactions before submitting them to the main blockchain for consensus validation. This intermediary aggregation layer reduces the number of individual consensus operations required, scaling the system's capability to handle IoT applications while minimizing cumulative processing time.
3Reliability
If decentralized ledger is used for transparency, then trust is improved, but privacy concerns increase due to exposure of transaction data
Solution Approach 1:
The system applies local quality by implementing different data visibility rules for different types of information. Sensitive transaction details (e.g., personal identifiers, financial amounts) are encrypted or hidden from public view, while non-sensitive metadata (e.g., transaction timestamps, block hashes) remain visible for transparency. This selective information disclosure maintains trust through verifiable transparency while protecting user privacy.
Solution Approach 2:
The patent implements selective copying where only anonymized or aggregated versions of transaction data are published to the public ledger, while the full detailed transactions are stored in private ledgers accessible only to authorized parties. This copying approach provides the transparency needed for trust while preventing exposure of sensitive personal information.
Data Source
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AI summary
It is provided a multi-access edge computing node(102M,104M,106M) located with-in a cellular coverage area supported by a base station(102, 104,106) of a mobile net- work operator, the multi-access edge computing node(102M,104M,106M) comprisi- ng at least one memory to store a chained data block, where each data block is codedwith data of a past transaction in respect of a good or service; and at least one stock processor configured with functions that: include a new data block, to record a curre-nt transaction in respect of a good or service, into the chained data block in response to a signature, generated from processing the data of the current transaction with the coded data of the past transactions stored in the chained data block, being validated by a group of external multi-access edge computing n-odes, wherein the multi-access edge computing node(102M, 104M, 106M) and the group of external multi-access edge computing nodes(102M, 104M, 106M) are trusted, and communicate over a common channel.