State-Aware Device Configuration Mediator for IoT Networks
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Solution Overview
Problem
Current systems for managing IoT devices and infrastructure network devices lack efficient mechanisms to dynamically adjust configurations based on real-time operational states, leading to suboptimal performance and increased resource consumption.
Innovation Solution
A system comprising a local state aware device manager and a state aware device configuration agnostic mediator that maintains and remotely controls device configurations based on current operational states, using a device state-based operation configuration model to switch between configuration states, thereby optimizing device operations and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If device configurations are statically managed without real-time state monitoring, then device complexity and resource consumption increase, but system simplicity is maintained
Solution Approach 1:
The system continuously monitors device operational states and uses this feedback to dynamically adjust configurations. The device manager receives state information from devices and automatically applies appropriate configuration profiles, creating a closed-loop control system that optimizes device performance without manual intervention.
Solution Approach 2:
The configuration management system transitions from static to dynamic by allowing configurations to change in real-time based on device states. Configuration profiles are selectively applied and removed according to current operational conditions, enabling the system to adapt flexibly to changing requirements.
2Productivity
If dynamic configuration adjustment is implemented based on real-time states, then device performance improves, but system complexity increases
Solution Approach 1:
The configuration management system is segmented into distinct components: device state monitors, configuration profile storage, and profile application mechanisms. This modular architecture allows each component to be developed and maintained independently, reducing overall system complexity while enabling dynamic configuration adjustments.
Solution Approach 2:
A configuration mediator or device manager is introduced as an intermediary layer between devices and configuration profiles. This mediator handles the complexity of state monitoring and profile selection, shielding individual devices from complex configuration management while enabling dynamic adaptation.
3Loss of time
If configurations are manually managed without automation, then ease of operation is maintained, but time consumption and resource waste increase
Solution Approach 1:
The system enables self-service configuration management where devices automatically report their operational states and the device manager automatically applies appropriate configurations without human intervention. This eliminates manual configuration time while maintaining operational simplicity through automated decision-making.
Solution Approach 2:
Configuration profiles are pre-defined and stored in advance for various device states. When a device enters a particular state, the corresponding pre-prepared configuration is quickly applied, eliminating the need for real-time configuration creation or manual adjustment while maintaining ease of operation.
4Use of energy by moving object
If real-time state monitoring is implemented, then resource utilization efficiency improves, but energy consumption increases
Solution Approach 1:
Instead of continuous monitoring, the system uses periodic state checks at strategically determined intervals. Devices report their states at regular intervals or when state changes occur, reducing the energy burden of constant monitoring while still enabling timely configuration adjustments to optimize energy utilization.
Solution Approach 2:
The monitoring frequency and depth are dynamically adjusted based on device criticality and current operational conditions. Critical devices receive more frequent monitoring while less critical devices use reduced monitoring intervals, optimizing the balance between energy consumption and resource utilization efficiency.
Data Source
AI summary
Systems and methods for configuring a device to operate based on a current configuration state of the device in a manner agnostic to an assumed configuration state of a device. Systems can include a local state aware device manager and a state aware device configuration agnostic mediator. Methods can include locally determining an actual current configuration state of a device in operation, generating desired configuration instructions based on the actual current configuration state of the device, and locally configuring the device to operate according to the desired configuration instructions.