Wireless Network Mapper Using Multi-Transceiver Correlation
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Solution Overview
Problem
Accurate mapping of wireless network assets is challenging due to their portable nature, leading to difficulties in initial location determination and updating location data, especially in indoor environments where GPS performance is degraded, resulting in gaps in network coverage and performance issues.
Innovation Solution
A system utilizing multiple wireless transceivers, including 4G-LTE, 5G, Bluetooth, and Wi-Fi, to correlate network mapper location data with reference network assets, generating hash values for data integrity and security, and employing GPS and trilateration for precise location determination of primary network assets.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS is used for location determination, then accurate location data can be provided in outdoor environments, but performance is severely degraded in indoor environments due to signal attenuation and multipath effects
Solution Approach 1:
The patent introduces an intermediary system consisting of multiple wireless transceivers (Wi-Fi, Bluetooth, cellular) that act as mediators between the network mapper and the network assets. These transceivers establish reference connections to known location assets, enabling indirect location determination through correlation of signal characteristics and geometric relationships, thereby overcoming GPS signal attenuation in indoor environments.
Solution Approach 2:
The system employs multi-functionality by integrating multiple wireless transceiver technologies (Wi-Fi, Bluetooth, cellular) into a single network mapper device. This universal approach allows the system to utilize different wireless protocols depending on the environment, maintaining location accuracy both indoors and outdoors without relying solely on GPS.
2Reliability
If manual location updating is performed, then location data can be updated when network assets are moved, but the process is time-consuming and not scalable for large networks
Solution Approach 1:
The network mapper performs self-service by automatically detecting its own location through the reference connection process and autonomously updating network asset location data without manual intervention. The system self-calibrates using its multiple transceivers and reference assets, eliminating the need for manual location updates and enabling continuous automatic maintenance of location accuracy.
Solution Approach 2:
The system implements feedback mechanisms where the network mapper continuously monitors its location and the locations of network assets, automatically detecting movements and updating the network map accordingly. This closed-loop feedback ensures location data remains accurate and up-to-date without requiring manual verification or intervention.
3Adaptability or versatility
If multiple wireless transceivers are integrated, then comprehensive network mapping across various environments is enabled, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing the location determination function into separate modular components, with each wireless transceiver (Wi-Fi, Bluetooth, cellular) operating as an independent reference connection system. Each transceiver type handles specific environmental scenarios, allowing the complex multi-transceiver system to be managed through modular, manageable segments that can be activated based on environmental needs.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient network planning and operation, improving network performance and user experience by providing precise location data for network assets across various environments.
Implementation Method 1
The location processor is configured to determine the location of the network mapper and generate network mapper location data
Implementation Method 2
employing GPS and trilateration for precise location determination of primary network assets
Implementation Method 3
A network metric processor derives network data associated with the connection to one or both of the first reference network and the primary network
Implementation Method 4
A primary network asset location processor determines the location of primary network assets by correlating the network mapper location data with the data locating first reference network assets utilizing the determined network data
Implementation Method 5
The system may include a hash generator for generating a hash of data derived from the multiple wireless transceivers
Data Source
AI summary
The present disclosure provides a primary network mapper for mapping primary network assets in a primary network. The mapper includes a memory storing first reference network asset location data, a first reference transceiver for attachment to a first reference network, a primary transceiver for attachment to the primary network, a location processor for determining the mapper's location, a network metric processor for processing received network data to derive distance data, and a primary network asset location processor for determining the location of primary network assets by processing the mapper location data, reference network asset location data, and distance data. The mapper enables accurate mapping of primary network assets using data from multiple networks.