M2M Application Class Identification for Priority Management
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Solution Overview
Problem
Current M2M communication systems assign low priority to all Machine-to-Machine (M2M) applications, leading to delays in critical report delivery due to network congestion and device-based priority assignment, which is inadequate for delay-sensitive applications.
Innovation Solution
Introducing M2M Class Identifiers (MCIs) for application-based class identification, allowing dynamic priority level determination and reconfiguration, and implementing an M2M access control mechanism to ensure privileged access for critical M2M applications, using Quality of Service (QoS) negotiation and modification procedures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If device-based priority assignment is used for M2M applications, then network management is simplified, but delay-sensitive applications cannot receive timely service
Solution Approach 1:
The patent segments M2M applications into different classes (e.g., delay-sensitive and delay-tolerant) based on their service requirements. This segmentation allows the system to apply different priority levels to different application classes, resolving the contradiction by enabling differentiated treatment rather than uniform device-based priority assignment.
Solution Approach 2:
The patent introduces dynamic priority assignment where the priority level of an M2M application can be adjusted based on its class and current network conditions. This dynamic mechanism allows delay-sensitive applications to receive higher priority when needed, while maintaining simplified network management through automated classification and priority adjustment.
2Productivity
If low priority is assigned to all M2M applications, then network congestion is reduced, but critical applications suffer from service delays
Solution Approach 1:
The patent applies local quality by assigning different priority levels to different classes of M2M applications based on their specific requirements. Delay-tolerant applications receive lower priority to reduce network congestion, while delay-sensitive applications receive higher priority to ensure timely delivery, thus resolving the contradiction between network throughput and reliability.
Solution Approach 2:
The patent changes the priority parameter dynamically based on application class and network conditions. By adjusting the priority parameter for different M2M application classes, the system can optimize network throughput for non-critical applications while ensuring reliable timely delivery for critical applications.
3Measurement precision
If application-based class identification is implemented, then priority assignment accuracy is improved, but system complexity increases
Solution Approach 1:
The patent implements preliminary action by pre-defining M2M application classes and their corresponding priority levels before actual network operation. This preliminary classification framework enables accurate priority assignment without requiring complex real-time analysis, thus improving priority accuracy while limiting system complexity through standardized pre-defined classes.
Data Source
AI summary
A mobile communication device for application-based class identification is provided with a wireless module and a controller module. The wireless module performs wireless transmissions and receptions to and from a service network. The controller module determines a class of a Machine-to-Machine (M2M) application, and determines a priority level corresponding to the class of the M2M application. Also, the controller module initiates the M2M application via the wireless module according to at least one M2M parameter corresponding to the priority level.