Mesh Node Multi-Tier Storage for Fast Wireless Data Access

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Solution Overview

Problem

Existing communication systems struggle to efficiently manage and store data with varying importance levels in high-speed wireless mesh networks, leading to inefficiencies in data access and storage costs.

Innovation Solution

Implementing a multi-tier storage architecture within wireless communication nodes, where data is categorized into classes based on frequency and importance, using solid-state drives for high-performance, high-cost first-tier storage and hard-disk drives for lower-performance, lower-cost second-tier storage, with centralized processing to manage data classification and retrieval.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If a single-tier storage architecture is used, then the device complexity is low, but data access efficiency and storage cost optimization are insufficient

Engineering Contradiction:
Improvedata access efficiencyVSAvoidstorage architecture complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The storage architecture is segmented into multiple tiers (first tier and second tier) with different storage devices. The first tier uses solid-state drives for high-performance storage of frequently accessed data, while the second tier uses hard-disk drives for cost-effective storage of less frequently accessed data. This segmentation resolves the contradiction by improving data access efficiency for critical data while managing overall system complexity through structured organization.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

Different storage devices are assigned to different tiers based on local requirements. The first tier locations are optimized for high-speed access to important data, while the second tier locations are optimized for cost-effectiveness. This local quality approach allows each part of the storage system to be optimized for its specific function, resolving the contradiction between access efficiency and cost optimization.

Inventive Principle:
Principle #3Local quality

2Speed

If high-performance storage devices are used for all data, then data access speed is improved, but storage cost increases

Engineering Contradiction:
Improvedata access speedVSAvoidstorage cost
Core Design Contradiction:
SpeedVSQuantity of substance

Solution Approach 1:

High-performance solid-state drives are deployed only in the first tier for storing frequently accessed and critical data, while cost-effective hard-disk drives are used in the second tier for less critical data. This local quality approach ensures high data access speed for important data without unnecessarily increasing storage costs for all data.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

Instead of using high-performance storage for all data (excessive action), the system applies high-performance storage only partially to the extent necessary for frequently accessed data. This partial action principle optimizes the balance between data access speed and storage cost by avoiding over-provisioning of expensive storage capacity.

Inventive Principle:
Principle #16Partial or excessive action

3Productivity

If data is stored without classification, then the storage system is simple, but data retrieval efficiency and cost optimization are reduced

Engineering Contradiction:
Improvedata retrieval efficiencyVSAvoiddata management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Data is segmented into different classes based on access frequency and importance, with each class stored in appropriate tiers. Frequently accessed data is classified for first-tier storage, while less frequently accessed data is classified for second-tier storage. This segmentation improves data retrieval efficiency by ensuring data is stored optimally while managing complexity through systematic classification.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The system includes a processor that monitors data access patterns and dynamically adjusts data classification and tier placement. This feedback mechanism allows the system to learn from usage patterns and optimize data retrieval efficiency over time, managing complexity through automated adaptive management rather than static rigid rules.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS20250344270A1Mesh-based communication system architectures
Publication Date: 2025.11.06 L3VEL LLC
  • US20250344270A1 patent drawing
  • US20250344270A1 patent drawing
  • US20250344270A1 patent drawing

AI summary

A wireless communication node within a mesh-based communication system includes wireless mesh equipment that is configured to establish and communicate over one or more bi-directional wireless links with one or more other wireless communication nodes of the mesh-based communication system. The wireless communication node further includes a multi-tier storage architecture that is configured to store data at the wireless communication node. The multi-tier storage architecture includes at least (i) a first tier of one or more storage units that is designated for storage of a first class of data, and (ii) a second tier of one or more storage units that is designated for storage of a second class of data that differs from the first class of data.