A method and system for supporting distributed data storage invocation of internet of things devices

By constructing communication pattern vectors and distributed storage-call collaboration graphs on the IoT device node side, many-to-many mapping and adaptive block data fusion are achieved, solving the problem of insufficient dynamic adaptability in existing technologies, improving node resource utilization efficiency and access path stability, and enhancing the operational reliability of IoT systems.

CN120956744BActive Publication Date: 2026-03-10江苏鑫埭信息科技有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2025-10-15
Publication Date
2026-03-10

AI Technical Summary

Technical Problem

Existing distributed data storage and retrieval mechanisms lack dynamic adaptability and fail to comprehensively schedule data based on real-time communication environment, node energy status, and data requirements. This results in uneven node resource utilization and unstable data access path selection, affecting the reliability and service quality of IoT systems in large-scale and complex environments.

Method used

By establishing edge processing channels on the IoT device node side, constructing communication mode vectors and distributed storage-call collaboration graphs, many-to-many mapping is achieved, mapping edge weights are dynamically updated, candidate node subsets are identified, access path sequences are established, and adaptive block data fusion and hybrid polymorphic communication are performed to optimize the data calling process.

Benefits of technology

It improved the efficiency of node resource utilization, optimized the stability of access paths, and enhanced the overall operational reliability of large-scale IoT systems.

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Abstract

The application provides a kind of support distributed data storage call method and system of internet of things equipment, it is related to data storage call technical field, method includes: in internet of things equipment node side executes local data acquisition and block processing;Perform internet of things equipment node self-checking;Based on communication mode vector, the distributed storage-call collaborative graph of the block data construction identifies the candidate node subset corresponding to target data block, based on candidate node subset, mapping edge weight and transient link index establishes access path sequence;The adaptive block data fusion result returned by different access paths is matched with the hybrid polymorphism communication of upper equipment, and the matching result is used for call management. Through the present application, the technical problem of uneven node resource utilization caused by the lack of dynamic adaptation capability of the existing distributed data storage call mechanism can be solved, and the technical effect of improving the utilization efficiency of node resources is achieved.
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Citation Information

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