Wireless Network Connection Optimization via Spatial Leakage Analysis
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Solution Overview
Problem
Wireless network connections in home environments become overloaded and performance varies with distance and obstacles when multiple devices are connected, leading to a need for improving wireless network connectivity.
Innovation Solution
A method and system that involve a mobile node receiving spatial information from a root node and fixed nodes, calculating leakage weight values to determine the best connection position within an area, allowing the mobile node to move to optimize network quality by generating a connection leakage table based on the highest leakage weight values.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple home appliances are connected to the electronic device at the same time, then the wireless network coverage area is expanded, but the wireless network becomes overloaded and performance degrades
Solution Approach 1:
The patent segments the wireless network into multiple hierarchical levels with root nodes, intermediate nodes, and leaf nodes. Each node manages a specific area and subset of devices, dividing the overloaded network into smaller manageable segments that can operate independently, thus maintaining performance while expanding coverage.
Solution Approach 2:
The patent introduces a hierarchical dimension to the wireless network structure, organizing nodes in multiple levels (root, intermediate, leaf) rather than a flat single-level architecture. This dimensional change allows the network to scale vertically while maintaining horizontal coverage expansion without overloading individual nodes.
2Area of stationary object
If the mobile device moves farther from the access point, then the coverage area is extended, but the Wi-Fi performance is adversely affected
Solution Approach 1:
The network is segmented into hierarchical levels where intermediate nodes serve as relay points between root nodes and distant leaf nodes. This segmentation allows signal transmission over extended distances while maintaining performance through multiple hops, each managing local traffic independently.
Solution Approach 2:
Intermediate nodes act as mediators between root nodes and distant mobile devices. These intermediary nodes receive and forward signals, enabling extended coverage while maintaining connection quality through localized signal management and relay functionality.
3Adaptability or versatility
If obstacles are placed between the access point and mobile device, then the network can be deployed in complex home environments, but the Wi-Fi performance is adversely affected
Solution Approach 1:
The hierarchical segmentation allows the network to navigate around obstacles by routing signals through multiple intermediate nodes positioned in different locations. Each segment handles local obstacles independently, maintaining overall connectivity and performance in complex environments.
Solution Approach 2:
The patent utilizes three-dimensional spatial positioning of nodes to overcome obstacles. By organizing nodes in hierarchical levels and multiple spatial positions, the network can route signals around obstacles through different spatial paths, maintaining adaptability to complex home environments while preserving connection quality.
Data Source
AI summary
A method for improving wireless network connection is provided. The method is used in a mobile node moving in an area and includes: respectively receiving spatial information broadcasted by a root node and fixed nodes in a plurality of cells constituting the area, wherein each of the fixed nodes is directly connected to the root node, or indirectly connected to the root node through one or more other fixed nodes; obtaining current leakage weight values of the mobile node that is directly connected to the root node and is indirectly connected to the root node through the fixed nodes according to the spatial information received in each of the cells; generating a connection leakage table according to the largest one among the current leakage weight values; and determining a target position of the area which the mobile node moves to according to the connection leakage table.


