Mesh Network Data Splitting for Low Latency Off-Grid Communication
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Solution Overview
Problem
Existing network systems struggle to efficiently switch between different networks, especially in remote or hostile environments, due to limitations in data transfer speed, cost, and signal obfuscation.
Innovation Solution
A mesh network system utilizing chirp spread spectrum-based communication, where network node devices can automatically split data packages and reconstruct them, and switch between external networks based on noise levels and other connectivity characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data is transmitted over external networks in remote environments, then data transfer capability is improved, but transmission cost and latency increase
Solution Approach 1:
The system segments data transmission into multiple paths: critical data is transmitted immediately over external networks (cellular/satellite), while non-critical data is buffered and transmitted later when external network connectivity is available. This segmentation resolves the contradiction by prioritizing time-sensitive data for immediate transmission while deferring less urgent data to avoid unnecessary latency and cost.
Solution Approach 2:
The mesh network acts as an intermediary between remote devices and external networks. Data can be transmitted through intermediate nodes that have external network connectivity, allowing devices without direct external network access to communicate. This intermediary approach reduces latency for time-critical data while managing external network usage costs.
2Productivity
If network switching between WI-FI and cellular is implemented, then data transmission optimization is improved, but system complexity increases
Solution Approach 1:
The network switching system operates autonomously using pre-configured rules and algorithms to automatically select optimal network paths based on data priority, network availability, and cost considerations. The system self-manages network selection without requiring complex user configuration or intervention, reducing operational complexity while maintaining optimization capabilities.
Solution Approach 2:
The system dynamically changes transmission parameters such as data priority levels, network selection criteria, and buffering thresholds based on environmental conditions and data characteristics. These parameter adjustments enable adaptive optimization without requiring complex structural changes to the switching system architecture.
3Speed
If data packages are split and transmitted through multiple mesh nodes, then signal delivery speed is improved, but system complexity increases
Solution Approach 1:
Data packages are segmented into multiple packets that can be transmitted through different mesh network paths simultaneously. This segmentation enables parallel transmission through multiple nodes, increasing overall signal delivery speed while distributing the transmission load across the network rather than requiring complex coordination at a single node.
Solution Approach 2:
Multiple data packets transmitted through different mesh nodes are reassembled at the destination node. This merging approach allows parallel transmission paths to be combined effectively, achieving faster signal delivery without requiring complex real-time coordination during transmission, as reassembly occurs at the endpoint.
4Productivity
If external network connectivity is maintained in remote areas, then communication capability is improved, but energy consumption increases
Solution Approach 1:
Instead of maintaining continuous external network connectivity, the system periodically checks for external network availability and activates connectivity only when needed for high-priority data transmission. This periodic action maintains communication capability for critical data while dramatically reducing energy consumption compared to continuous connectivity.
Solution Approach 2:
The system applies different connectivity strategies to different data types: high-priority time-sensitive data receives immediate external network transmission when available, while low-priority data uses mesh network transmission or is buffered. This local quality approach optimizes energy usage by allocating external network resources only where truly necessary.
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
The system achieves optimized signal delivery speed, minimized cost, and enhanced security by dynamically adjusting network connections and transforming data packages based on real-time network conditions.
Implementation Method 1
each of the plurality of network node devices is operable to communicate with other network node devices using chirp spread spectrum-based communication
Data Source
AI summary
A system includes a network node device operable to dynamically connect to different networks and different types of networks based on factors including latency and noise levels in each network. The system allows for low power transmission of data packets as well as obfuscation of transferred data packets by splitting packets for a single file across multiple nodes in a mesh network, where the mesh network then recombines the signals to externally convey the data. The system leverages the use of LoRa communication across one or more networks to communicate critical data, such as location data for particular devices, at long ranges with minimized risk of detection.