Messaging Center Adaptive Retry Profiles for IoT Sleep Patterns
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Solution Overview
Problem
Current short message retry methods in messaging centers are static and inadequate for IoT devices with varying sleep patterns, leading to inefficient message delivery due to uniform retry policies that do not account for device-specific sleep cycles and mobility management states.
Innovation Solution
Implementing dynamic adaptive retry profiles in messaging centers that adjust retry methods based on IoT device sleep patterns and behaviors, using a mapping table to differentiate retry strategies for various device types and attributes, ensuring messages are resent at optimal times to minimize buffering and conserve battery resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If static uniform retry policies are used for all devices, then messaging center operation is simple, but message delivery reliability deteriorates for IoT devices with varying sleep patterns
Solution Approach 1:
The patent segments the uniform retry policy into device-specific retry profiles based on device attributes such as sleep patterns, mobility management states, and device types. The messaging center maintains multiple retry profiles in a mapping table, each tailored to specific device characteristics, allowing differentiated retry strategies that improve message delivery reliability for diverse IoT devices.
Solution Approach 2:
The patent implements dynamic retry profiles that adapt to changing device states. The messaging center modifies retry parameters based on real-time device status information, including sleep cycle patterns and mobility management states, transforming the static retry mechanism into a dynamic system that responds to device-specific conditions.
2Productivity
If device-specific adaptive retry profiles are implemented, then message delivery efficiency improves, but messaging center complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple retry profiles in the messaging center's mapping table before actual message delivery. Each profile is prepared in advance with specific retry parameters tailored to different device types and sleep patterns, enabling the messaging center to quickly select and apply the appropriate profile without complex real-time calculations.
Solution Approach 2:
The patent utilizes parameter changes by modifying retry protocol parameters such as retry intervals, maximum retry counts, and timing characteristics based on device-specific attributes. The messaging center adjusts these parameters dynamically according to the selected retry profile, optimizing message delivery efficiency for each device type while managing complexity through structured parameter management.
3Speed
If messages are resent immediately upon failure, then message delivery speed is fast, but device battery consumption increases during sleep mode
Solution Approach 1:
The patent implements periodic action by scheduling retry attempts according to device sleep cycle patterns. The retry profiles incorporate timing parameters that align with device wake-up intervals, sending retry messages periodically at optimal times when devices are likely to be awake and able to receive messages, thereby reducing unnecessary battery consumption during extended sleep periods.
Solution Approach 2:
The patent applies feedback mechanisms by monitoring device delivery status and adjusting retry timing based on received acknowledgments or error messages. The messaging center modifies subsequent retry attempts according to device responses, optimizing the balance between delivery speed and energy consumption by adapting to actual device availability patterns.
Data Source
AI summary
Dynamic retry techniques can be leverage by messaging centers to adapt their profiles for a variety of mobile devices including internet-of-things (IoT) devices. The network can utilize a look up table that has real time updated mapping of possible retry profiles against device categories, their groupings, priorities, and/or service level agreements with external IoT providers. For example, a messaging retry algorithm can adjust its upper bounds based on communication received from peer networking functions during the initial registration with the network or as part of the updates due to ongoing IoT device activity.