Multi-device Power Management via Component Redundancy Elimination
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Solution Overview
Problem
Current power management techniques in computing devices fail to effectively coordinate across multiple devices to eliminate component redundancy, leading to increased power consumption and reduced battery life in mobile devices.
Innovation Solution
Establishing communicative couplings between devices to inventory components and generate a power management plan that eliminates redundant components by shutting down or placing them in lower power states, redirecting usage to more efficient or battery-rich devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If each device independently manages its own power consumption by turning off unused components, then individual device battery life is extended, but total power consumption across multiple devices increases due to component redundancy
Solution Approach 1:
The patent merges power management across multiple devices by establishing communicative couplings between them, allowing the system to identify and eliminate redundant components. Instead of each device independently managing its own components, the system coordinates across devices to determine which components can be shut down or placed in lower power states, thereby reducing total power consumption while maintaining functionality.
Solution Approach 2:
The system creates a universal power management approach that works across different device types and configurations. By inventoring components across multiple devices and identifying redundancies, the system applies a multi-functional power management strategy that can adapt to various device combinations and usage scenarios, optimizing power consumption system-wide rather than device-by-device.
2Reliability
If components are kept active across multiple devices to ensure functionality, then system reliability is maintained, but power consumption increases and battery life decreases
Solution Approach 1:
The system implements feedback mechanisms by continuously monitoring component usage across devices and dynamically adjusting power states. The communicative couplings allow devices to exchange information about component status and usage patterns, enabling the system to make informed decisions about which components to keep active and which can be powered down, thereby maintaining reliability while reducing power consumption.
Solution Approach 2:
The power management system is dynamic rather than static. It continuously adapts to changing conditions by monitoring component usage and adjusting power states in real-time. This dynamic approach allows the system to maintain functionality when needed while reducing power consumption during periods of redundancy, balancing reliability and energy efficiency.
Data Source
AI summary
Techniques related to coordinating power management for multiple devices are discussed. Such techniques may include establishing communications between devices, inventorying the components of each device, and implementing a power management plan to eliminate any redundancy in the components and reduce the total power consumed by the devices.