Centralized WLAN Controller Power Management Algorithms
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Solution Overview
Problem
Wireless networks face challenges in efficiently managing power consumption, as they often operate continuously but do not require full network power during low usage periods, leading to energy wastage and increased costs.
Innovation Solution
A centralized controller is used to gather data on network activity and selectively switch access points to power save mode, while ensuring that access points with associated clients remain active to maintain performance and roamability, employing algorithms to balance power savings and performance based on demand.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If access points are kept active continuously, then network availability and response time are improved, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts access point operational states based on real-time network conditions. Access points transition between active, power-saving, and standby modes according to traffic patterns, client associations, and network load, resolving the contradiction between continuous availability and energy consumption through adaptive state changes
Solution Approach 2:
The controller implements periodic monitoring of network activity and client associations, using time-based thresholds to determine when access points should enter or exit power-saving modes. This periodic assessment allows the system to balance energy savings with network responsiveness by systematically evaluating conditions at regular intervals
2Use of energy by moving object
If access points are switched to power save mode, then energy consumption is reduced, but network response time and client association performance deteriorate
Solution Approach 1:
The system performs preliminary assessments of network conditions before transitioning access points to power-saving mode. By evaluating client associations, traffic patterns, and network load in advance, the controller ensures that access points only enter power-saving state when it will not negatively impact client association performance, preventing time loss while achieving energy savings
Solution Approach 2:
The controller continuously monitors network activity and client association events, using this feedback to dynamically adjust access point states. When client association activity is detected, the system responds by activating access points, creating a feedback loop that maintains responsive performance while maximizing energy savings during idle periods
3Productivity
If more access points remain active, then network capacity and client support are improved, but operational costs increase
Solution Approach 1:
The system applies different operational states to different access points based on their local network conditions and client associations. Rather than uniformly activating all access points, the controller selectively enables only those access points that currently serve clients or are needed for network capacity, optimizing the balance between productivity and operational cost through localized state management
Solution Approach 2:
The system changes operational parameters of access points including power state, transmit power levels, and operational modes based on network conditions. By adjusting these parameters dynamically, the system maintains adequate network capacity while reducing operational costs through optimized resource allocation and selective activation of access points
4Use of energy by stationary object
If access points enter power save mode, then power consumption is reduced, but network coverage and roamability may be affected
Solution Approach 1:
The controller acts as an intermediary that coordinates access point state transitions and client associations. When access points enter power-saving mode, the controller manages the transition process and ensures that clients are properly associated with active access points, maintaining network roamability through centralized coordination rather than direct peer-to-peer communication
Data Source
AI summary
Described in example embodiments herein are techniques for implementing power savings in a wireless local area network (WLAN). In accordance with an example embodiment, a centralized controller can be employed to gather data about network activity and select access points to switch to power save mode. Optionally, the controller may designate certain access points to remain active so as to monitor for clients attempting to access the WLAN. An aspect of an example embodiment is that it allows the controller to configure and manage power consumption based on demands on the overall system. In an example embodiment, techniques for implementing power savings within individual hardware components, such as access points, are disclosed. An aspect of a technique described in an example embodiment is that it provides flexibility to balance power savings and performance.