Distributed Wireless Task Splitting for Channel Scanning Efficiency
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Solution Overview
Problem
Existing wireless network systems face inefficiencies in channel scanning due to the time-consuming process of scanning multiple channels, which affects resource allocation and intrusion detection, and load balancing is unpredictable and dependent on client behavior.
Innovation Solution
A distributed wireless system that coordinates neighboring network devices to form nodes, splitting tasks into subtasks and assigning them to nodes within a clique set for parallel processing, reducing channel scanning time and improving load balancing by distributing clients across channels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If an access point scans all available channels periodically to detect interference, then channel information is updated for intrusion detection and prevention, but the time required to scan channels increases proportionally with the number of channels, reducing network service efficiency
Solution Approach 1:
The patent divides the channel scanning task into multiple segments by forming a clique set of neighboring access points. Each access point in the clique set is assigned to scan specific channels, rather than every access point scanning all channels. This segmentation reduces the scanning time for each individual access point while ensuring comprehensive channel coverage through coordinated scanning by multiple nodes.
2Reliability
If an access point frequently scans channels to provide updated channel information, then intrusion detection and prevention is improved, but the access point spends more resources on scanning, reducing its ability to serve clients
Solution Approach 1:
The patent merges the scanning resources of multiple access points in a clique set to perform channel scanning collectively. By combining the scanning capabilities of several access points, the system achieves comprehensive channel monitoring and improved intrusion detection while each individual access point spends less time scanning, thereby maintaining better client service capacity.
3Productivity
If load balancing rejects new client association requests to distribute clients across channels, then network resource distribution is optimized, but the load balancing approach becomes unpredictable and depends on client behavior
Solution Approach 1:
The patent performs preliminary channel scanning and interference detection by the clique set before clients associate with access points. By proactively identifying optimal channels and detecting potential interference, the system can make informed load balancing decisions that are more predictable and controllable, rather than relying solely on reactive rejection of association requests based on client behavior.
Data Source
AI summary
The present disclosure discloses a system and method for task processing and resource sharing in a distributed wireless system. The system includes a processor and a memory storing instructions that, when executed, cause the system to: identify a plurality of nodes in a distributed wireless system, each node of the plurality of nodes associated with a radio frequency neighborhood, the radio frequency neighborhood of one node including one or more other nodes that hear beacons from the one node; assign a task to the plurality of nodes; split the task into a plurality of subtasks; assign the plurality of subtasks to the plurality of nodes; receive a plurality of subtask processing results from the plurality of nodes; and combine the plurality of subtask processing results to generate a task processing result for the task.