IoT Gateway Resource Allocation for Management Data
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Solution Overview
Problem
In IoT devices, it is challenging to collect detailed management data for failure analysis while ensuring sufficient radio resources for sensor data transmission, as existing network monitoring systems struggle to manage bandwidth efficiently, leading to potential transmission omissions of sensor data due to high resource consumption by management data.
Innovation Solution
A communication device with a selection unit that allocates resources for management data collection based on an evaluation value calculated from the contribution degree to failure analysis and resource consumption, allowing for prioritized collection of management data without compromising sensor data transmission, using a gateway that selects collection manipulations and executes them within allocated resource limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all management data is collected with a short cycle to enable detailed failure analysis, then measurement precision of failure analysis is improved, but radio resources for sensor data transmission are pressurized and may be insufficient
Solution Approach 1:
The patent applies partial action by selectively collecting only certain management data items with short cycles that are most relevant to failure analysis, rather than collecting all management data uniformly. The selection unit identifies and collects only the necessary subset of management data (e.g., specific error logs, communication status) at high frequency, while other less critical data is collected at lower frequencies or not at all, thus achieving adequate failure analysis precision without exhausting radio resources.
Solution Approach 2:
The patent changes the collection cycle parameter dynamically based on the type and importance of management data. Different management data items have different collection cycles assigned - critical failure-related data is collected with short cycles while non-critical data uses longer cycles. This parameter differentiation allows the system to optimize between failure analysis precision and radio resource consumption by adjusting the temporal frequency of data collection based on priority.
2Adaptability or versatility
If multiple communication units are installed in IoT devices to enable both sensor data transmission and management data collection, then communication capability is improved, but device cost increases
Solution Approach 1:
The patent implements multi-functionality by enabling a single communication unit to handle both sensor data transmission and management data collection through intelligent resource allocation. The selection unit and collection unit work together to multiplex the single communication interface, allowing it to serve dual purposes: transmitting sensor data using allocated radio resources and collecting management data within the same resource constraints. This eliminates the need for separate communication hardware while maintaining full communication functionality.
Solution Approach 2:
The patent introduces dynamic resource allocation where the communication unit's resource allocation is not fixed but can be adjusted based on current needs. The system dynamically determines how much radio resource to allocate to management data collection versus sensor data transmission, allowing the single communication unit to adaptively switch between functions and prioritize traffic based on current operational requirements, thus replacing the need for multiple static communication units.
3Measurement precision
If management data is collected with high frequency to capture detailed communication state changes, then measurement precision is improved, but radio resources for sensor data transmission are reduced
Solution Approach 1:
The patent applies partial action by collecting only the most critical communication state parameters with high frequency rather than all available management data. The selection unit identifies key indicators such as connection status, error rates, and signal quality that are essential for detecting communication failures, and collects these specific parameters at short intervals while reducing or eliminating collection of less critical data, thus achieving adequate detection precision with reduced radio resource consumption.
Solution Approach 2:
The patent changes the collection frequency parameter based on the criticality of each management data item. Communication state parameters that are most indicative of failures (e.g., link status, error counters) are assigned short collection cycles for high-precision monitoring, while other less sensitive parameters use longer cycles. This differentiated parameter assignment allows the system to optimize detection precision for critical states while conserving radio resources.
Data Source
AI summary
A gateway which is an example of a communication device includes a selecting unit and a management data collecting unit. The selecting unit selects a collection manipulation within a range not exceeding a resource amount allocated to transmission of management data among all resources of wireless communication usable by a device in accordance with an evaluation value. The evaluation value is a value calculated on the basis of a contribution degree to failure analysis and consumption resources for each of a plurality of collection manipulations for collecting management data used for the failure analysis from a device. The management data collecting unit executes the collection manipulation selected by the selecting unit on the device and collects the management data corresponding to the collection manipulation from the device through the wireless communication.