RF IoT Group Discovery Queries for Targeted Device Selection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication systems, particularly 5G NR, lack efficient methods for discovering and managing groups of IoT devices based on device classes, measurement types, data priorities, and other criteria, leading to inefficiencies in communication processes.
Innovation Solution
A system and method for transmitting and receiving group discovery queries for IoT devices based on criteria such as device class, measurement type, data priority, and distance from an RF source, allowing for targeted communication with established, new, or expired IoT devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional wireless communication systems are used for IoT device discovery, then basic communication can be established, but the system lacks efficient methods for discovering and managing groups of IoT devices based on device classes, measurement types, and other criteria
Solution Approach 1:
The patent segments IoT devices into groups based on multiple criteria including device class, measurement type, data priority, and distance from RF source. This segmentation enables targeted discovery queries for specific device subsets, improving discovery efficiency by reducing the search space while maintaining manageable complexity through structured grouping.
Solution Approach 2:
The patent introduces multiple filtering parameters (device class, measurement type, data priority, distance) that can be dynamically adjusted to change the discovery query results. This allows the system to adapt to different discovery needs by modifying parameters rather than increasing overall system complexity.
2Loss of information
If comprehensive group discovery queries are transmitted for all IoT devices, then complete device information can be obtained, but unnecessary reconfiguration occurs and resources are wasted
Solution Approach 1:
The patent extracts only the necessary device information by formulating targeted discovery queries based on specific criteria (device class, measurement type, etc.). Instead of retrieving complete information for all devices, the system extracts only the information needed for each specific group, reducing energy consumption while maintaining information completeness for the queried devices.
Solution Approach 2:
The patent applies partial action by transmitting discovery queries for specific device groups rather than all devices. This partial query approach obtains sufficient information for the targeted group without the excessive action of querying every device, thereby reducing unnecessary reconfiguration and energy waste.
3Device complexity
If all IoT devices are treated uniformly in communication management, then simple management procedures can be used, but resource allocation is not optimized
Solution Approach 1:
The patent applies local quality by treating different IoT device groups differently based on their specific characteristics (device class, measurement type, data priority). Each group receives tailored management procedures and resource allocation strategies appropriate to its needs, optimizing resource allocation efficiency while maintaining manageable complexity through localized differentiation rather than uniform treatment.
Data Source
AI summary
A radio frequency (RF) IoT device may be configured to receive a group discovery query for a set of IoT devices from an RF source device. The group may be based on at least one of (a) an IoT device class, (b) a measurement type, (c) a data priority, (d) a type of information carried by the set of IoT devices, (e) a presence of data, (f) an amount of the data, (g) a distance from the RF source device, or (h) a set of identifiers for the one or more IoT devices in the group. The RF IoT device may be configured to transmit a response to the group discovery query based on the IoT device belonging to the set of IoT devices.