Dynamic Radio Parameter Selection in Mesh Networks
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Solution Overview
Problem
Current communication networks, especially those relying on mobile devices and satellite transmissions, face limitations in access, latency, and bandwidth due to network layout, user density, and location, which hinder efficient data transmission and connectivity, particularly in diverse environments like commercial airlines.
Innovation Solution
A cognitive heterogeneous ad hoc mesh network is created using participant tables that allow mobile and stationary devices to communicate via line-of-sight, dynamically updating and propagating participant information to establish optimal communication routes without relying on complex cellular networks, enabling efficient data transmission across various platforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If mobile communication devices rely on stationary cellular or wireless access points or satellite transmissions to connect to a network, then network connectivity is established, but access is limited, latency increases, and bandwidth decreases based on network layout, user density, and location
Solution Approach 1:
The patent segments the traditional centralized network architecture into distributed mesh network segments where mobile devices form independent communication clusters. Each device maintains local routing tables and can communicate directly with nearby devices without requiring connection to stationary access points, thereby reducing latency while maintaining connectivity through peer-to-peer communication paths.
Solution Approach 2:
The patent introduces a new dimensional approach by creating multi-layered mesh networks that operate independently of traditional two-dimensional cellular infrastructure. Devices can communicate across three-dimensional space using directional antennas and spatial multiplexing, adding a vertical dimension to network topology that bypasses ground-based cellular constraints and reduces dependency on stationary infrastructure.
2Reliability
If mobile communication devices rely on stationary cellular or wireless access points or satellite transmissions to connect to a network, then network connectivity is established, but access is limited, latency increases, and bandwidth decreases based on network layout, user density, and location
Solution Approach 1:
The patent merges multiple communication channels and protocols into a unified mesh network framework. Devices can simultaneously utilize Wi-Fi, Bluetooth, and other wireless interfaces to create parallel communication paths, aggregating bandwidth from multiple sources. The system combines direct device-to-device communication with indirect routing through intermediate devices, creating redundant high-bandwidth paths that overcome the limitations of single-channel cellular or satellite connections.
3Reliability
If a cognitive heterogeneous ad hoc mesh network is created using participant tables with dynamic updates and propagation, then communication efficiency and reliability are enhanced, but device complexity and energy consumption increase
Solution Approach 1:
The patent implements self-service mechanisms where each device autonomously maintains its own participant table, performs local routing decisions, and automatically updates its information based on received beacon messages. Devices independently detect network topology changes, recalculate routes, and adapt communication parameters without centralized control or manual configuration. This distributed self-management reduces the perceived complexity for users while maintaining high communication reliability through autonomous adaptation.
4Speed
If participant tables are dynamically updated and propagated through the mesh network to maintain optimal routes, then communication efficiency is improved, but energy consumption and processing load increase
Solution Approach 1:
The patent employs periodic beacon message transmission where devices exchange participant table updates at predetermined intervals rather than continuously. Each device transmits compressed routing information periodically, and receiving devices update their local tables only when improvements are detected. This periodic update mechanism maintains optimal routing information for high-speed communication while dramatically reducing energy consumption compared to continuous real-time synchronization, as devices can enter low-power states between beacon transmissions.
Data Source
AI summary
Embodiments described herein are directed to creating a mesh network and using dynamic radio parameter selection for communications within the mesh network. A first participant computing device in the mesh network receives a communication for a destination computing device. The first participant computing device determines a route from the first participant computing device to the destination computing device and selects a second participant computing device in the mesh network along the selected route. The first participant computing device selects one or more radio parameters based on the selection of the second participant computing device along the selected route and transmits the communication to the second participant computing device based on the one or more selected radio parameters.