IoT Terminal Power Policy Optimization via Link Behavior Graphs
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Solution Overview
Problem
IoT user terminal devices face challenges in formulating low power consumption policies due to link compatibility issues, leading to energy waste and frequent battery replacements, with existing solutions complicating code space and requiring frequent firmware updates, impacting user experience.
Innovation Solution
An online optimization method using a link behavior graph and graph neural networks to efficiently update power consumption policies by scanning user terminals, constructing a link behavior library, and applying similarity algorithms to minimize power consumption, enabling quick and efficient updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manufacturers adopt conservative and fault-tolerant power consumption policies to ensure link compatibility, then link compatibility is improved, but power consumption increases
Solution Approach 1:
The patent implements dynamic power consumption policies that adapt to different link compatibility requirements. Instead of using a single conservative policy for all links, the system dynamically selects and adjusts power consumption parameters based on the specific link characteristics and compatibility needs, allowing aggressive policies where compatibility is less critical and conservative policies where compatibility is paramount.
Solution Approach 2:
The patent changes power consumption parameters based on link compatibility requirements. By modeling link behavior and analyzing compatibility characteristics, the system adjusts power consumption parameters (such as transmission power, data rates, and protocol settings) to achieve optimal balance between power saving and compatibility for each specific link scenario.
2Use of energy by moving object
If manufacturers use targeted low power consumption policies for different router models to reduce power consumption, then power consumption is reduced, but device complexity increases
Solution Approach 1:
The patent creates simplified models of link behavior and device characteristics that capture the essential compatibility features without replicating the full complexity of actual devices. These models serve as proxies that enable power consumption optimization without requiring complex algorithms to handle every detail of each specific router model's behavior.
Solution Approach 2:
The patent develops a universal power consumption policy framework that can handle multiple different router models and link types through a single standardized interface. Instead of creating separate optimization algorithms for each device model, the system uses a unified approach that adapts to different devices through parameter adjustment rather than structural complexity.
3Adaptability or versatility
If manufacturers frequently update firmware through OTA to adjust power consumption parameters for new link mating products, then adaptability is improved, but user experience deteriorates
Solution Approach 1:
The patent performs preliminary analysis of link behavior and compatibility characteristics during the initial connection phase. By pre-modeling the link behavior and determining optimal power consumption parameters before actual operation, the system eliminates the need for frequent firmware updates, as the optimization is built into the initial link establishment process.
Solution Approach 2:
The patent implements self-service mechanisms where the system automatically adapts power consumption parameters based on real-time link behavior monitoring and analysis. Instead of requiring manual firmware updates to adjust parameters for new devices, the system autonomously learns and adapts to new link mating products through continuous monitoring and parameter adjustment during normal operation.
Data Source
AI summary
Disclosed is an online optimization method for a power consumption policy of a terminal of Internet of things (IoT), including: performing comprehensive scanning on a user terminal and a link, and obtaining a link behavior graph; inputting the link behavior graph into a simulation based optimization (SBO) system to obtain power consumption parameters for minimizing power consumption of the user terminal; performing centralized storage on the link behavior graph and the power consumption parameters; regularly sending, by the user terminal, operation data to a server, and evaluating, by the server, whether a power consumption policy needs to be optimized; and issuing, by the server, a parameter update instruction to complete the upgrading of the power consumption policy of the user terminal. In the present disclosure, the update of the power consumption policy of the user terminal can be conveyed more quickly and more efficiently.