Wireless Power Management via Dynamic Beacon Intervals
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Solution Overview
Problem
Current power management mechanisms in wireless mesh networks, such as those defined in IEEE 802.11s Draft Standard 1.08, are inefficient and often result in undesirable network operations, particularly when devices attempt to enter power saving modes without centralized control, leading to synchronization challenges and increased power consumption.
Innovation Solution
Implementing a distributed power management system that uses a power management module to determine beacon and wakeup intervals, allowing devices to operate in power saving modes by alternating between awake and doze states based on specified intervals and traffic conditions, with the ability to negotiate these intervals with peers and advertise awake windows to ensure efficient data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If devices enter power saving modes without centralized control, then power consumption is reduced, but synchronization challenges occur and network operations become undesirable
Solution Approach 1:
Each mesh point autonomously manages its own power saving operations by determining beacon intervals and wakeup intervals based on local traffic conditions and peer capabilities, eliminating the need for centralized control while maintaining synchronization through distributed negotiation
Solution Approach 2:
Devices exchange capability information and traffic condition data through beacon frames to dynamically adjust beacon intervals and wakeup intervals, creating a feedback mechanism that adapts power saving parameters to current network conditions while maintaining synchronization
2Duration of action of moving object
If devices alternate between awake and doze states to save power, then battery life is extended, but data exchange efficiency decreases
Solution Approach 1:
The system dynamically adjusts beacon intervals and wakeup intervals based on real-time traffic conditions and device capabilities, allowing flexible adaptation between power saving mode and data exchange requirements without fixed operational patterns
Solution Approach 2:
Devices use periodic beacon transmissions at adjusted intervals to synchronize state information and maintain peer links during doze periods, enabling efficient data exchange windows that balance power consumption with communication needs
3Use of energy by moving object
If beacon intervals are increased to reduce power consumption, then battery life is extended, but network responsiveness decreases
Solution Approach 1:
The system changes beacon interval parameters dynamically based on network conditions, traffic patterns, and device capabilities, allowing optimization of the balance between power consumption and network responsiveness for different operational scenarios
Data Source
AI summary
Embodiments provide techniques for device power management in wireless networks. For instance, an apparatus may include a power management module, and a transceiver module. The power management module determines a beacon interval and a wakeup interval. The transceiver module to send a transmission to one or more remote devices that includes the beacon interval and the wakeup interval. The beacon interval indicates a time interval between consecutive beacon transmissions of the apparatus, and the wakeup interval indicates a time interval between when the apparatus receives two consecutive beacons from a peer device.


