Real-Time Packet Stream Reconstruction via Similarity Alignment
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Solution Overview
Problem
Existing data communication methods, such as stream duplication and forward error correction, are inadequate for handling packet loss and corruption in unreliable communication channels, especially when packet sequences are not numbered or sequenced.
Innovation Solution
A method and system that receive duplicated serial bit streams, divide them into sequential time windows, align data packets based on similarity, and recreate the original stream by selecting aligned packets, allowing for real-time error recovery across multiple communication channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If packets are sent multiple times to overcome loss or corruption, then reliability is improved, but bandwidth efficiency deteriorates
Solution Approach 1:
The patent combines multiple duplicate packet streams into a single reconstructed stream by selecting one packet from each time window based on similarity comparison. Instead of transmitting multiple complete duplicates, the system merges the information from parallel transmissions and selects the best packet from each group, achieving both reliability through redundancy and bandwidth efficiency through intelligent selection.
Solution Approach 2:
The patent changes the parameter of packet selection from random or sequential to similarity-based selection. By comparing packet similarity within time windows and selecting packets with highest similarity to expected patterns, the system optimizes the balance between using redundant transmissions for reliability and minimizing wasted bandwidth.
2Reliability
If forward error correction is used to detect and correct errors, then reliability is improved, but computational complexity increases
Solution Approach 1:
The patent uses simple similarity comparison metrics instead of complex FEC algorithms. Rather than implementing sophisticated error correction codes that require significant computational resources, the system uses lightweight similarity measurements (such as correlation or distance metrics) that can be computed efficiently, providing adequate error detection and correction for many practical scenarios.
3Manufacturing precision
If sequence numbers are assigned to packets for reconstruction, then packet ordering accuracy is improved, but protocol complexity increases
Solution Approach 1:
The patent enables packets to self-identify their temporal position through similarity-based clustering within time windows rather than requiring external sequence numbering. The time window structure and similarity comparison automatically provide ordering information, allowing the system to reconstruct sequences without adding sequence number fields to packets or implementing complex sequencing protocols.
Data Source
AI summary
A method comprising: receiving a plurality of duplicates of a serial bit stream, wherein said serial bit stream comprises a sequence of data packets; continuously dividing each of said duplicates of said serial bit stream based on sequential time windows; with respect to each of said time windows, aligning said data packets associated with each of said duplicates of said serial bit stream, received within said time window, based, at least in part, on data packet similarity; and recreating in real time said serial bit stream by selecting at least one of said aligned data packets as representing a next data packet in said sequence of data packets.