Intelligent Edge Data Forwarding via Predictive Movement Analysis

Solution Overview

Problem

In edge computing networks, maintaining low latency and ensuring reliable data forwarding is challenging, especially when devices move across different base stations and service providers, leading to increased packet processing and potential service disruptions.

Innovation Solution

The system uses historical device movement information to predict and proactively adjust packet forwarding, credentialing, and resource configuration, speculatively forwarding packets to anticipated future endpoints and precomputing credentials to minimize latency and service disruptions.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If reactive connection setups and state transfers are used when devices move across base stations, then service continuity can be maintained, but latency increases and resource loads increase

Engineering Contradiction:

Improveservice continuityVSAvoidlatency

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The system performs preliminary actions by predicting future device locations using historical movement data and proactively establishing connection setups and transferring state information before the device actually moves to those locations. This speculative forwarding approach prevents the need for reactive connection setups, thereby reducing latency while maintaining service continuity.

Inventive Principle:

Principle #10Preliminary action

2Reliability

If reactive connection setups and state transfers are used when devices move across base stations, then service continuity can be maintained, but resource loads increase

Engineering Contradiction:

Improveservice continuityVSAvoidresource loads

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by predicting future device locations using historical movement data and proactively establishing connection setups and transferring state information before the device actually moves to those locations. This speculative forwarding approach prevents the need for reactive connection setups, thereby reducing latency while maintaining service continuity.

Inventive Principle:

Principle #10Preliminary action

3Loss of time

If historical device movement information is used to predict and proactively adjust packet forwarding, then latency is reduced and service continuity is improved, but system complexity increases

Engineering Contradiction:

ImprovelatencyVSAvoidsystem complexity

Core Design Contradiction:

Loss of timeVSDevice complexity

Solution Approach 1:

The system implements self-service by automatically collecting historical device movement information, analyzing movement patterns, predicting future locations, and dynamically adjusting packet forwarding decisions without requiring manual configuration or complex centralized control. The network infrastructure serves itself by leveraging existing telemetry data and applying predictive algorithms, thereby reducing latency while keeping system complexity manageable.

Inventive Principle:

Principle #25Self-service

Data Source

PatentUS12244507B2Intelligent data forwarding in edge networks

Publication Date: 2025.03.04 INTEL CORP

AI summary

Systems and techniques for intelligent data forwarding in edge networks are described herein. A request may be received from an edge user device for a service via a first endpoint. A time value may be calculated using a timestamp of the request. Motion characteristics may be determined for the edge user device using the time value. A response to the request may be transmitted to a second endpoint based on the motion characteristics.