Access Point Control via Network Server Load Detection
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Solution Overview
Problem
Current methods for controlling access points (APs) in wireless networks require manual intervention, leading to high labor costs and inefficient resource utilization, as APs cannot be automatically turned on or off based on real-time service traffic, resulting in suboptimal user bandwidth and unnecessary power consumption.
Innovation Solution
A network management server receives load information from APs, judges the overall capacity of the coverage area, and automatically controls APs to turn on or off, using a control device to manage the activation and deactivation of APs through turn-on and turn-off instructions, ensuring optimal resource allocation based on service traffic demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If multiple APs are turned on simultaneously to provide sufficient bandwidth for users, then user bandwidth is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the number of active APs based on real-time user load conditions. When user bandwidth demand is high, more APs are activated; when demand is low, fewer APs remain active. This dynamic adaptation resolves the contradiction by making the system flexible rather than static, allowing bandwidth to scale with demand while minimizing power consumption during low-traffic periods.
Solution Approach 2:
The control device automatically monitors user load and manages AP activation/deactivation without manual intervention. The system serves itself by detecting when bandwidth is needed and autonomously adjusting AP states, eliminating the need for manual configuration while optimizing both bandwidth availability and power consumption based on actual usage patterns.
2Adaptability or versatility
If APs are controlled manually to turn on or off, then resource utilization is improved, but labor cost increases
Solution Approach 1:
The control device automatically performs resource allocation and AP management tasks without requiring manual intervention. The system monitors user load, determines optimal AP configurations, and executes activation or deactivation decisions autonomously, thereby maintaining high resource utilization while eliminating labor costs associated with manual control.
Solution Approach 2:
The system continuously monitors user load conditions and uses this feedback to automatically adjust AP states. This closed-loop control enables the system to adapt resource utilization to actual demand in real-time without human intervention, resolving the contradiction between effective resource management and labor cost reduction.
3Device complexity
If APs cannot be automatically controlled, then device complexity is reduced, but productivity decreases
Solution Approach 1:
A control device is introduced as an intermediary between the APs and the user load conditions. This intermediary automatically manages AP activation and deactivation based on monitored load information, enabling productive automatic control without requiring complex manual intervention systems. The control device handles the complexity of decision-making, allowing the overall system to achieve high productivity through automation.
Data Source
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AI summary
Embodiments of the present invention disclose a method, an apparatus and a system for controlling access points. The method includes: receiving load information on working APs in a coverage area; judging a current overall capacity of the coverage area according to the load information; and controlling APs in the coverage area according to a judgment result. A network management server includes a first receiving module, a first judgment module, and a first control module. The system includes the network management server, working APs, and non-working APs. The embodiments of the present invention also provide another method for controlling APs, a primary working AP, and a system for controlling APs. In the embodiments of the present invention, APs in the same coverage area are automatically controlled to turn on or off according to the service traffic; resources are utilized rationally; labor costs are saved; and the work efficiency is improved.