Edge Node Information Sampling for Global Map Synchronization

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

In smart service environments with multiple edge nodes, it is challenging for central nodes to maintain an accurate and synchronized global map of the environment, especially when the number of far-edge nodes exceeds communication bandwidth or overtaxes processing resources.

Innovation Solution

A method is employed where a central near-edge node samples a group of far-edge nodes, updates an information map to maximize the total area of coverage, and uses an attention mechanism to control information retrieval from regions expected to produce the most relevant information, thereby selecting the best sensors for information acquisition.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of information

If the number of far-edge nodes is increased to improve environmental coverage, then the knowledge of the physical environment state is improved, but the communication bandwidth and processing resources are exceeded

Engineering Contradiction:

Improveenvironmental state knowledgeVSAvoidsystem complexity

Core Design Contradiction:

Loss of informationVSDevice complexity

Solution Approach 1:

The patent extracts and processes information locally at edge nodes before transmitting to the central node. Each edge node maintains a local map and performs selective information extraction, transmitting only relevant updates to the central node. This reduces communication bandwidth requirements while maintaining comprehensive environmental knowledge across the distributed system.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent divides the global environmental map into multiple local maps maintained by different edge nodes. Each edge node is responsible for a specific region or aspect of the environment, processing and managing information independently. This segmentation allows the system to scale to many far-edge nodes without overwhelming the central node's processing resources.

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If information is collected from all edge nodes to maximize knowledge, then the accuracy of the global map is improved, but unnecessary information collection increases communication and processing strains

Engineering Contradiction:

Improveglobal map accuracyVSAvoidcommunication and processing energy

Core Design Contradiction:

Measurement precisionVSLoss of energy

Solution Approach 1:

The patent implements partial information collection by having edge nodes selectively transmit only the most relevant or changed information to the central node, rather than transmitting all data. The attention mechanism prioritizes critical information, achieving sufficient global map accuracy with reduced communication overhead and processing energy consumption.

Inventive Principle:

Principle #16Partial or excessive action

Solution Approach 2:

The patent dynamically adjusts information transmission parameters based on environmental conditions, task requirements, and node states. The attention mechanism modifies which information parameters are transmitted and at what frequency, optimizing the balance between global map accuracy and communication/processing energy consumption.

Inventive Principle:

Principle #35Parameter changes

3Stability of the object's composition

If the central node processes information from all edge nodes, then the synchronization of the global map is improved, but the processing resources available in the near-edge node are overtaxed

Engineering Contradiction:

Improveglobal map synchronizationVSAvoidprocessing efficiency

Core Design Contradiction:

Stability of the object's compositionVSProductivity

Solution Approach 1:

The patent performs preliminary information processing and filtering at edge nodes before transmission to the central node. Edge nodes pre-process sensor data, maintain local maps, and prepare information for efficient integration, reducing the processing burden on the central node while maintaining global map synchronization.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The patent implements dynamic information processing where the central node adapts its processing behavior based on current system conditions, task priorities, and information relevance. The attention mechanism dynamically adjusts which information is processed and integrated, optimizing processing efficiency while maintaining necessary synchronization.

Inventive Principle:

Principle #15Dynamics

Data Source

PatentUS20250094410A1Maximizing information gain of the joint environment knowledge at crowded edge applications

Publication Date: 2025.03.20 DELL PROD LP

AI summary

One example method includes performing, in a global environment that includes a central node and edge nodes that are able to communicate with each other, by the central node, operations including: sampling optimal information from the edge nodes concerning a state of the global environment, based on the optimal information, updating a global map of the global environment, based on the optimal information, updating an information retrieval cost, using the state of the global environment to orchestrate placement and execution of one or more tasks and actions in the global environment, using the updated global map, information retrieval cost, tasks and actions to update an attention mechanism operable to control retrieval of next optimal information, and selecting next optimal information for retrieval.