Dynamic IoT Device Grouping by Distance and Signal Intensity
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Solution Overview
Problem
Conventional IoT systems face inefficiencies in managing large numbers of IoT devices due to the lack of effective methods for grouping and managing devices based on specific conditions, leading to suboptimal data processing and resource utilization.
Innovation Solution
A method for creating dynamic IoT device groups based on preset conditions such as distance, communication signal intensity, and data characteristics, allowing for efficient management and configuration adjustments within these groups.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional IoT systems manage large numbers of devices individually, then device coverage is comprehensive, but management efficiency and resource utilization deteriorate
Solution Approach 1:
The patent segments IoT devices into groups based on preset conditions (distance, communication signal intensity, data characteristics). By dividing the large set of devices into manageable groups, the system reduces management complexity while maintaining comprehensive device coverage. Each group can be managed independently with optimized parameters, improving overall management efficiency.
Solution Approach 2:
The patent merges devices that satisfy preset conditions into unified groups. This combining approach allows the system to treat multiple devices as a single manageable unit, reducing the number of individual management operations required and thereby improving productivity while reducing the complexity of managing large-scale IoT deployments.
2Productivity
If the system processes all IoT device data individually, then data processing accuracy is maintained, but computational resources and processing time increase
Solution Approach 1:
The patent combines data from multiple devices within the same group for processing. By merging data at the group level rather than processing each device individually, the system reduces the total computational load and energy consumption while maintaining accurate data processing through group-based aggregation and analysis.
Solution Approach 2:
The patent performs preliminary grouping of devices based on preset conditions before data processing. This preliminary action organizes data in advance, allowing subsequent processing operations to work with consolidated group data rather than individual device data, thereby improving processing efficiency and reducing computational resource consumption.
3Adaptability or versatility
If the system creates static device groups, then group formation is simple, but adaptability to changing conditions deteriorates
Solution Approach 1:
The patent implements dynamic group formation where devices can be added to or removed from groups based on changing preset conditions. The system dynamically adjusts group configurations in response to variations in distance, communication signal intensity, or data characteristics, thereby improving adaptability while managing complexity through automated condition-based decision making.
Solution Approach 2:
The patent uses configurable preset conditions (distance thresholds, signal intensity differences, data characteristics) that can be adjusted to adapt to different scenarios. By changing these parameters, the system can reconfigure groups to match new requirements without manual intervention, achieving high adaptability while keeping the management process simple through automated parameter-based reclassification.
Data Source
AI summary
A method and an apparatus for managing an IoT device, and a computer readable storage medium are disclosed. The method for managing an IoT device includes creating a group resource, the group resource including a first member and a first preset condition, determining, from a plurality of IoT devices, at least one IoT device whose relationship with the first member satisfies the first preset condition as a second member of the group resource, wherein the first preset condition comprises at least one of the following: a distance between the second member and the first member being less than a first distance threshold, and a difference between a communication signal intensity of the second member and a communication signal intensity of the first member being less than a first intensity difference threshold.