Access Point Sleep-Mode Management to Reduce Wake-Up Congestion
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Solution Overview
Problem
Existing wireless network management systems face issues with network congestion and high latency due to the use of wake-up signals (WUS) for devices transitioning between sleep and active modes, which consume bandwidth and disrupt data transmission.
Innovation Solution
Implementing a network management system that prioritizes device access to sleep mode based on observed and predicted networking conditions, using machine learning to anticipate congestion, and transmitting WUS frames at very low data rates in the same frequency bands as active signals, allowing selective devices to enter sleep mode to mitigate bandwidth over-occupation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If wake-up signals are transmitted to devices in sleep mode, then devices can be awakened from sleep mode, but network bandwidth is consumed and network congestion occurs
Solution Approach 1:
The network is segmented into multiple sleep mode groups, where devices are divided into different groups based on their wake-up timing requirements. This segmentation allows the access point to manage wake-up signals more efficiently by targeting specific groups rather than all sleeping devices, thereby reducing overall bandwidth consumption for wake-up signals.
Solution Approach 2:
The system dynamically adjusts sleep mode management based on real-time network conditions. The access point monitors network traffic and actively manages device sleep states, transitioning devices between sleep and active modes based on current network demand and predicted traffic patterns, optimizing bandwidth utilization.
2Reliability
If multiple devices use wake-up signals simultaneously, then all devices can be awakened, but latency increases due to network congestion
Solution Approach 1:
Devices are segmented into multiple sleep mode groups with different wake-up timings. The access point transmits wake-up signals to different groups at different times, preventing simultaneous wake-up attempts that cause latency. This staggered approach ensures that wake-up signals are transmitted efficiently without causing network congestion.
Solution Approach 2:
The access point performs preliminary actions by predicting future network traffic patterns and proactively managing device sleep states accordingly. Devices are placed in sleep mode or awakened based on predicted traffic needs, preventing latency caused by reactive wake-up signals during high-traffic periods.
3Use of energy by moving object
If devices enter sleep mode to save battery life, then power consumption decreases, but network management complexity increases
Solution Approach 1:
The access point implements a universal sleep mode management system that handles multiple devices across different sleep mode groups through a single centralized controller. This multi-functional approach allows the access point to manage power states, transmit wake-up signals, and monitor network conditions for all connected devices through one system, reducing overall network management complexity.
Solution Approach 2:
The network management system dynamically adapts to changing conditions by continuously monitoring network traffic and device states. The access point adjusts sleep mode assignments, wake-up timings, and group configurations in real-time based on current network demands, simplifying management through automated dynamic adjustment rather than static complex configurations.
4Speed
If wake-up signals are transmitted at high data rates, then transmission time decreases, but bandwidth consumption increases
Solution Approach 1:
The system uses partial action by transmitting wake-up signals at lower data rates only when necessary, rather than always using high data rates. The access point selectively applies high data rate transmissions only for critical wake-up scenarios, while using lower data rates for routine wake-up signals, thereby optimizing the balance between transmission speed and bandwidth consumption.
Data Source
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AI summary
Networked sleep mode management is provided by measuring network conditions for a first Access Point serving a plurality of client devices configured to operate in one of a sleep mode and an active mode; in response to detecting an amount of network usage devoted to transitioning members of the plurality of client devices from the sleep mode to the active mode satisfies a threshold: identifying a first subset of client devices from the plurality of client devices that are in the sleep mode; identifying a given client device from the first subset of client devices to transition to the active mode; and transmitting a tear-down message to the given client device that instructs the given client device to transition from the sleep mode to the active mode.