Server Categorization for WLAN Service Discovery
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Solution Overview
Problem
In a WLAN environment, client devices face increased processing resource consumption and user inconvenience when browsing through long lists of servers providing the same service, as they need to process and select from numerous servers, leading to inefficient service connection.
Innovation Solution
Servers are grouped into categories, and client devices receive recommendations based on these categories, reducing processing load and enhancing user convenience by allowing selection from categorized lists of servers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If client devices process and browse through long lists of servers providing the same service, then complete service information is available, but processing resource consumption increases and user convenience deteriorates
Solution Approach 1:
The patent segments the complete server list into multiple categories based on service types, characteristics, or relevance. Instead of presenting a single long list of all servers, the system divides servers into organized groups (e.g., by service function, priority, or location), allowing users to navigate categorized subsets rather than browsing through an overwhelming comprehensive list, thus improving ease of operation while maintaining access to complete service information.
Solution Approach 2:
The patent introduces an additional organizational dimension (categorization) to the server list presentation. Rather than a one-dimensional flat list, servers are organized along multiple dimensions such as service type, priority level, or operational status, creating a multi-dimensional navigation structure that reduces the cognitive load and processing requirements for users while preserving complete service information.
2Loss of information
If client devices process and browse through long lists of servers providing the same service, then complete service information is available, but processing resource consumption increases
Solution Approach 1:
The patent extracts and separates relevant service information from the complete server list, presenting only the most pertinent categories and server details to client devices. By extracting key service attributes and organizing them into focused categories, the system reduces the volume of data that client devices must process and display, thereby lowering processing resource consumption and energy usage while maintaining access to complete service information when needed.
3Ease of operation
If servers are grouped into categories with recommendations, then user convenience improves, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-grouping servers into categories and pre-generating recommendations before users query the system. The server grouping logic, categorization schemes, and recommendation algorithms are established in advance, allowing the system to quickly retrieve and present organized server lists rather than performing complex real-time analysis when users seek services, thus improving user convenience while managing system complexity through upfront preparation.
Data Source
AI summary
Example approaches for providing recommendations for connecting to servers are described. In an example, a category, from a plurality of categories, is identified for each of a plurality of servers providing a respective service. each server is grouped under the category identified for the respective server. The category indicates a recommendation for connecting to servers grouped under the category. The category is associated with a service, from a plurality of services, provided by the respective server.