Peer Node Energy Management via Periodic Resource Sharing
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Solution Overview
Problem
The increasing demand for functional capabilities in mobile devices leads to higher energy consumption, particularly in peer-to-peer resource sharing applications, which quickly deplete the battery reserve, necessitating efficient energy management solutions.
Innovation Solution
A method and apparatus that determine scheduling information for peer nodes to utilize a predetermined level of communication capacity, transitioning between active and inactive states to optimize energy consumption, thereby reducing overall energy use during resource sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If peer nodes continuously share resources at maximum bandwidth, then resource sharing efficiency is improved, but energy consumption increases
Solution Approach 1:
The patent implements periodic action by scheduling resource sharing in discrete time slots rather than continuous operation. Peer nodes alternately share resources at maximum bandwidth during allocated time slots and remain inactive during non-allocated slots, creating a periodic pattern that balances resource sharing efficiency with energy conservation. This is achieved through the scheduling mechanism that divides time into slots and assigns resource sharing activities to specific periods.
Solution Approach 2:
The patent applies dynamics by making the resource sharing state changeable rather than fixed. The system dynamically transitions peer nodes between active (resource sharing) and inactive (energy saving) states based on scheduling information. This dynamic state adjustment allows the system to optimize the balance between resource sharing productivity and energy consumption according to varying conditions.
2Reliability
If peer nodes remain in active state for prolonged periods, then resource sharing capability is maintained, but battery life decreases
Solution Approach 1:
The scheduling mechanism creates periodic cycles of active and inactive states for peer nodes. During active time slots, resource sharing capability is maintained at full capacity. During inactive time slots, the system conserves battery energy by halting resource sharing activities. This periodic alternation ensures that resource sharing capability is preserved when needed while extending battery life through energy conservation during non-critical periods.
Solution Approach 2:
The system implements partial action by not maintaining continuous resource sharing capability, but rather providing it intermittently during scheduled time slots. This partial operation mode is sufficient to meet resource sharing requirements while significantly reducing overall energy consumption and extending battery life compared to continuous operation.
3Use of energy by moving object
If scheduling information is implemented, then energy consumption is reduced, but system complexity increases
Solution Approach 1:
The scheduling information is segmented into discrete time slot assignments for each peer node. Rather than implementing a complex continuous optimization system, the patent divides time into manageable slots and assigns resource sharing activities to specific segments. This segmentation simplifies the scheduling mechanism while still achieving effective energy reduction through structured time-based control.
Data Source
AI summary
An approach is provided for controlling energy consumption during resource sharing. One or more peer nodes determine scheduling information relating to when the peer nodes can utilize a predetermined level of communication capacity for sharing a computer resource (e.g., sharing content). The peer nodes transition between an active state for sharing the computer resource at the predetermined capacity and an inactive state to minimize energy use according to the scheduling information until the content transfer is complete.