Data Transfer Policy for M2M Infrastructure Node Coordination
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Solution Overview
Problem
In machine-to-machine communications (M2M), there is a challenge in efficiently utilizing the data management repository (DMR) function of infrastructure nodes to improve data sharing and analysis efficiency for user-side and middle nodes, which have limited DMR capabilities.
Innovation Solution
A data transmission method where a user-side node in M2M communications acquires and sends data to an infrastructure node based on a data transfer policy, which includes information such as data sending periods, trigger conditions, data types, sizes, and destination addresses, to optimize data sharing and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If user-side nodes and middle nodes implement DMR functions locally, then data sharing and analysis efficiency is improved, but device complexity and capability requirements increase
Solution Approach 1:
The infrastructure node acts as an intermediary that provides DMR functions to user-side nodes and middle nodes. Instead of each node implementing full DMR capabilities, the infrastructure node mediates data management operations, allowing simpler client nodes to benefit from powerful centralized data processing while reducing overall system complexity.
Solution Approach 2:
The infrastructure node is designed with universal DMR functions that can serve multiple types of nodes (user-side nodes, middle nodes, application service nodes). This multi-functional approach allows a single infrastructure node to handle data management for diverse clients, improving efficiency without requiring each client to have specialized DMR capabilities.
2Productivity
If all data is transmitted to infrastructure nodes for processing, then data analysis efficiency is improved, but network bandwidth consumption increases
Solution Approach 1:
The system extracts only the necessary data for analysis from the complete dataset and transmits it to the infrastructure node. By identifying and sending only relevant data portions rather than all data, the system maintains analysis efficiency while reducing network bandwidth consumption and energy usage.
Solution Approach 2:
Data transmission is segmented into selective portions based on analysis requirements. The system divides data into meaningful segments and transmits only the necessary segments to the infrastructure node for processing, rather than transmitting the complete dataset, thereby optimizing the balance between analysis efficiency and network resource consumption.
Data Source
AI summary
The present invention provides a data transmission method and a device. In the method, in a case in which a first device is registered with a second device, the first device acquires a data transfer policy; and the first device sends data to the second device according to the data transfer policy, so that efficiency of data sharing and data analysis is improved by means of a DMR function of a network-side node.