Wireless Network Management via Ontology and Federation
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Solution Overview
Problem
Current wireless network management systems lack a comprehensive approach that integrates the economic and social aspects of wireless networks, failing to effectively support differentiated business models and operations, and do not facilitate collaboration among users or efficient resource management.
Innovation Solution
The implementation of a method that classifies and manages wireless networks using a commercial-social centric ontology and organizes mobile devices into federations, allowing for the creation of trust mechanisms and incentive-based transactions, leveraging an Ontology Library and Federation Database to manage wireless LANs and access points.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If wireless network management systems use traditional technical-only approaches, then system simplicity is maintained, but the ability to support differentiated business models and economic aspects is insufficient
Solution Approach 1:
The patent segments network management into distinct functional modules: ontology management module for semantic classification, federation management module for organizational structures, and transaction management module for economic exchanges. This segmentation allows the system to handle complex business models through modular components rather than monolithic architecture.
Solution Approach 2:
The patent introduces an ontology library as an intermediary layer between physical network resources and business applications. This ontology library provides standardized semantic representations that enable diverse business models to interact with network resources through a common interface, reducing overall system complexity while increasing versatility.
2Measurement precision
If sensor-based management solutions are used to verify spectrum status, then spectrum availability detection is improved, but WRTU battery life is negatively impacted
Solution Approach 1:
The patent implements self-service mechanisms where access points autonomously perform spectrum detection and status verification without requiring continuous sensor activation in WRTUs. The access points maintain spectrum status information and make it available to WRTUs, eliminating the need for battery-intensive sensor operations in mobile devices.
Solution Approach 2:
The system performs preliminary spectrum verification at access points before WRTU connection attempts. By pre-checking spectrum availability and caching status information, the system avoids requiring WRTUs to continuously sense the spectrum, thereby preserving battery life while maintaining detection precision.
3Reliability
If network profiles are managed solely based on technical characteristics, then technical compatibility is ensured, but economic and social aspects of wireless networks are not integrated
Solution Approach 1:
The patent extends network profile management from a single technical dimension to multiple dimensions by incorporating economic attributes (pricing models, billing information) and social attributes (user ratings, trust levels) alongside traditional technical characteristics. This multi-dimensional approach is enabled through extended ontology structures that can represent diverse attribute types.
Solution Approach 2:
The patent creates composite network profiles that integrate multiple attribute types (technical, economic, social) into unified profile structures. These composite profiles combine heterogeneous data elements from different domains, enabling comprehensive network evaluation and selection that considers both technical compatibility and business/social factors.
4Ease of operation
If users share network profile information independently, then individual user control is maintained, but collaboration and resource optimization among users are limited
Solution Approach 1:
The patent merges individual user-controlled profile sharing with centralized federation management. Users retain control over their own profile data while the federation management module orchestrates cross-user information exchange and resource allocation. This combination enables both user autonomy and collaborative optimization.
Solution Approach 2:
The system implements feedback mechanisms where shared network profile information is aggregated and analyzed at the federation level, then used to generate optimized recommendations and resource allocation decisions that are fed back to users. This feedback loop enhances collaboration efficiency while preserving user control through optional acceptance of recommendations.
Data Source
AI summary
The subject matter described herein relates to wireless network discovery, management, the enabling of services, and economic exchanges in a cooperative manner by one or more federated sets of consumers, one or more access point providers, and one or more wireless service providers. Described herein are methods and apparatus for the discovery, classification, and management of wireless networks. The methods and apparatuses described herein may leverage two complementary elements impacting the performance of wireless LANs: (1) organization and management of the wireless access points (hot spots) from an ontology perspective, and (2) organization of mobile devices as a federation.