ICN Distributed Path Selection Using Hybrid Link Metrics

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Solution Overview

Problem

Existing path selection metrics in information centric networking (ICN) for edge computing are inadequate in dynamic wireless networks, leading to suboptimal latency and inefficiencies due to unstable radio channels and changing environments, particularly in scenarios with asymmetric data transmission.

Innovation Solution

A hybrid path selection mechanism using transmission success probability and expected maximum transmission rate metrics, combined via Simple Additive Weighting, to evaluate path robustness and facilitate efficient discovery and orchestration of compute resources in edge networks.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If existing path selection metrics are used in ICN for edge computing, then path selection can be performed, but latency is suboptimal and efficiency is reduced due to unstable radio channels and changing environments

Engineering Contradiction:

Improvepath selection reliabilityVSAvoidlatency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent changes the parameters used for path selection from traditional metrics to a composite metric that incorporates transmission success probability and expected maximum transmission rate. This parameter transformation allows the system to account for radio channel instability and environmental changes, thereby improving path selection reliability while reducing latency in dynamic wireless networks

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent implements feedback mechanisms where network devices continuously monitor and update transmission success probability and transmission rate metrics based on actual network conditions. This feedback loop enables adaptive path selection that responds to changing environments and unstable radio channels, resolving the contradiction between reliability and latency

Inventive Principle:

Principle #23Feedback

2Productivity

If traditional path selection metrics are used, then path selection is simple, but efficiency is reduced due to inability to account for link stability and data handling capacity

Engineering Contradiction:

Improvepath selection efficiencyVSAvoidpath selection mechanism complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The patent segments the path selection mechanism into distinct components: transmission success probability calculation, expected maximum transmission rate estimation, and composite metric formulation. This segmentation allows each component to be optimized independently while maintaining overall efficiency, addressing the contradiction between productivity and device complexity

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent creates a composite path selection metric by combining transmission success probability and expected maximum transmission rate. This composite approach integrates multiple dimensions of network performance (stability and capacity) into a unified evaluation framework, improving path selection efficiency without excessive complexity increase

Inventive Principle:

Principle #40Composite materials

Data Source

PatentUS12381814B2Information centric network distributed path selection

Publication Date: 2025.08.05 INTEL CORP

AI summary

System and techniques for information centric network (ICN) distributed path selection are described herein. An ICN node transmits a probes message to other ICN nodes. The ICN node receives a response to the probe message and derives a path strength metric from the response. Later, when a discovery packet is received by the ICN node, the path strength metric is added to the discovery packet.