Energy-Aware Communication Control for Network Node Selection
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Solution Overview
Problem
Existing communication systems fail to efficiently manage energy consumption and renewable energy usage while maintaining desired communication quality, leading to inefficiencies and potential environmental impact.
Innovation Solution
A communication control method and system that acquires energy conditions including energy consumption, efficiency, and renewable energy ratios, and determines network nodes and policies to optimize communication based on desired quality and energy criteria.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If communication uses conventional energy consumption patterns, then communication quality is maintained, but energy efficiency deteriorates and environmental impact increases
Solution Approach 1:
The patent implements dynamic communication control by continuously adjusting transmission parameters (power levels, modulation schemes, routing paths) based on real-time energy condition information. The system dynamically selects network nodes and policies according to current renewable energy availability and energy consumption patterns, transforming static communication into adaptive, energy-aware operation that optimizes the balance between communication quality and energy efficiency.
Solution Approach 2:
The system changes key communication parameters such as transmission power, data rate, and routing decisions based on energy condition parameters. By monitoring renewable energy availability and consumption patterns, the system adjusts these parameters to operate at optimal energy efficiency points while maintaining acceptable communication quality, directly addressing the contradiction between energy consumption and energy efficiency.
2Loss of energy
If renewable energy is increased in communication, then environmental sustainability improves, but communication reliability may deteriorate due to intermittent energy supply
Solution Approach 1:
The patent implements feedback mechanisms where the system continuously monitors energy condition information including renewable energy availability and communication performance metrics. This feedback loop allows the system to adjust network node selection and communication policies in real-time, ensuring that communication reliability is maintained even as renewable energy utilization increases. The feedback enables adaptive response to energy supply fluctuations without compromising service continuity.
Solution Approach 2:
The system performs preliminary actions by predicting future energy availability and pre-adjusting communication parameters before energy conditions change. By anticipating renewable energy fluctuations and proactively optimizing transmission settings, the system prepares communication paths that can maintain reliability during periods of variable energy supply, rather than reacting passively to energy changes.
3Loss of energy
If network nodes are dynamically selected based on energy conditions, then energy efficiency improves, but system complexity increases
Solution Approach 1:
The patent applies multi-functionality by designing a unified control framework that handles multiple objectives (energy efficiency, communication quality, reliability) through a single integrated decision-making process. The system uses a universal set of algorithms that can adapt to different energy conditions and communication scenarios without requiring separate specialized systems for each function, thereby reducing overall system complexity despite the dynamic node selection capability.
Solution Approach 2:
The system introduces an intermediary control layer that mediates between energy condition monitoring and communication execution. This intermediary layer processes energy information and translates it into appropriate network node selections and policy adjustments, simplifying the interaction between different system components. The mediator abstracts the complexity of energy-aware decision-making from individual communication functions, making the overall system more manageable despite dynamic optimization capabilities.
Data Source
AI summary
A communication control method comprises comprising:acquiring, by a first device, information indicating an energy condition including at least one of a first condition regarding at least one of a consumption of energy consumed in communication using a network and energy efficiency based on the consumption and a second condition regarding renewable energy in the communication; anddetermining, by the first device, at least one of a network node in the network to be applied to the communication and a policy to be applied to the communication, based on a desired communication quality and the energy condition.