Network Power Management via Zone Occupancy Detection
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Solution Overview
Problem
Variable network usage leads to erratic and unpredictable power consumption, interfering with business objectives such as energy reduction and cost initiatives, making it difficult to manage power consumption effectively.
Innovation Solution
A system that dynamically manages power consumption by monitoring network area zones, determining occupancy states, and applying corresponding power consumption policies to edge devices and external systems, interfacing with external grid management systems to optimize power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network devices operate continuously to handle variable usage, then network availability is maintained, but power consumption becomes erratic and unpredictable
Solution Approach 1:
The patent implements dynamic power management by transitioning network devices between different power states (active, standby, sleep) based on real-time traffic monitoring and predictive analytics. This allows the system to adapt power consumption levels to actual network demand while maintaining service availability, resolving the contradiction between continuous operation and predictable energy use
Solution Approach 2:
The system employs feedback mechanisms through continuous monitoring of network traffic patterns, device utilization metrics, and power consumption data. This feedback loop enables the predictive analytics engine to learn from historical data and adjust power states proactively, ensuring both network availability and predictable power consumption patterns
2Loss of energy
If network devices are powered down to reduce energy consumption, then power costs decrease, but network service availability is compromised
Solution Approach 1:
The system performs preliminary actions by proactively transitioning devices to lower power states before actual traffic demand occurs, based on predictive analytics of usage patterns. This allows energy savings to be achieved without compromising service availability, as devices are powered down only during predicted low-usage periods
Solution Approach 2:
The patent changes operational parameters of network devices by adjusting power states, clock frequencies, and functional capabilities based on predicted workload. This allows the system to reduce energy consumption while maintaining service availability by dynamically matching device capabilities to actual network demands
3Reliability
If network devices operate at full capacity to handle peak usage, then service quality is maintained, but overall energy consumption increases
Solution Approach 1:
The patent applies local quality by enabling full-capacity operation only in specific network segments or devices where actual traffic demand requires it, while other segments operate at reduced power states. This spatial and temporal differentiation of operational intensity maintains service quality where needed while minimizing overall energy consumption
Data Source
AI summary
Examples provided herein describe a method for managing power consumption of a network. For example, a network device may monitor a set of network area zones of a network coverage area, where each network area zone is associated with a set of edge devices. A first occupancy state may be determined for a first network area zone of the set of network area zones based on usage of a first set of edge devices of the first network area zone. Based on the determined first occupancy state, a first power consumption policy for the first network area zone may be determined. Responsive to determining the first power consumption policy, the determined first power consumption policy may be applied to the first set of edge devices in the first network area zone at least edge changing a power consumption mode of a first edge device in the first set of edge devices.