IoT Platform Staggering Data Reporting Times
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Solution Overview
Problem
Narrow Band Internet of Things (NB-IoT) networks experience congestion due to a large number of terminals reporting data simultaneously, leading to reporting failures and reduced network efficiency.
Innovation Solution
The Internet of Things (IoT) platform determines the data reporting time for each terminal based on the historical load of its serving cell, optimizing data transmission to avoid peak usage times and prevent simultaneous reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If terminals report data simultaneously using random reporting windows, then data reporting flexibility is improved, but network congestion occurs and reporting success rate deteriorates
Solution Approach 1:
The patent changes the parameter of reporting time from completely random selection within a window to a determined value based on historical load analysis. The IoT platform analyzes historical load data and determines optimal reporting times for terminals, transforming the reporting time parameter from random to optimized, thereby reducing congestion while maintaining flexibility.
2Productivity
If more terminals are allowed to access the network simultaneously, then network utilization is improved, but network congestion increases and reporting failures occur
Solution Approach 1:
The patent applies preliminary action by having the IoT platform analyze historical load data before determining reporting times for terminals. This advance analysis allows the system to predict congested periods and schedule terminal reporting accordingly, preventing congestion before it occurs while maximizing network utilization.
3Productivity
If reporting start time and random reporting window are set for each terminal, then network load distribution is improved, but terminals may still report at the same time causing congestion
Solution Approach 1:
The patent implements feedback by continuously analyzing historical load data and using this information to determine optimal reporting times for terminals. The system receives feedback from the network load conditions and adjusts terminal reporting schedules accordingly, creating a closed-loop system that adapts to changing network conditions and prevents congestion.
Data Source
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AI summary
Embodiments of this application provide a communication method and a communications apparatus. The method includes: obtaining, by an Internet of things platform, historical load of a serving cell of a terminal; determining, by the Internet of things platform, a data reporting time of the terminal based on the historical load of the serving cell; and sending, by the Internet of things platform to the terminal, a time at which the terminal reports data. In this embodiment, the data reporting time of the terminal is determined based on the historical load of the serving cell and a time range in which the terminal can report data. Therefore, the determined data reporting time may be, for example, a time at which load of the serving cell is the lightest in the time range in which the data can be reported. In this way, the terminal can report data in a staggered manner, so that it can be avoided that a large quantity of terminals report data at a same time, network congestion can be avoided, and network utilization and a data reporting success rate can be improved.