Mesh Network Node LoRa Signal Obfuscation
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Solution Overview
Problem
Existing communication systems face challenges in remote or hostile environments due to distance from cellular towers, lack of WiFi, high power consumption, and vulnerability to data leakage or interception, with satellite connections offering low data transfer rates at high costs and unreliable performance, and centralized networks compromising integrity if a central node fails.
Innovation Solution
A mesh network of mobile node devices using LoRa transmission with BLUETOOTH LOW ENERGY connections, forming a resilient network without a central backhaul, dynamically selecting optimal networks based on signal strength, latency, and cost, and employing AI-based network switching to optimize data transmission and minimize detectability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If satellite connections are used in remote areas, then connectivity is achieved, but data transfer rate is low and cost is high
Solution Approach 1:
The system segments the network connection into multiple paths: local mesh network for high-speed data transfer and satellite network for remote connectivity. This allows the system to achieve both reliable connectivity in remote areas and high data transfer rates by routing traffic through appropriate paths.
Solution Approach 2:
The patent introduces an intermediary mesh network consisting of local nodes that relay communications. This intermediary layer enables high-speed local data transfer while maintaining satellite connectivity for remote areas, thus resolving the contradiction between connectivity and data transfer rate.
2Reliability
If high power transmission is used, then signal strength is improved, but power consumption increases and detectability increases
Solution Approach 1:
The system dynamically adjusts transmission power based on network conditions, node density, and signal requirements. This allows the mesh network to maintain reliable signal strength while minimizing power consumption by using only the necessary power level for each transmission.
Solution Approach 2:
The patent combines multiple low-power transmissions through the mesh network architecture, where multiple nodes collaboratively relay signals. This merging of multiple weak signals achieves the equivalent of high signal strength without requiring any single node to consume high power.
3Ease of operation
If centralized network architecture is used, then network management is simplified, but network integrity is compromised when central node fails
Solution Approach 1:
The system segments the network into distributed mesh nodes, each capable of independent operation and routing decisions. This segmentation eliminates the single point of failure in centralized networks while maintaining network manageability through standardized node protocols and AI-based coordination.
Solution Approach 2:
Each mesh node autonomously manages its own connections, routing, and signal relay without requiring central control. This self-service capability ensures network integrity is maintained even when any individual node fails, while AI-based algorithms provide coordinated network-wide optimization.
4Productivity
If AI-based network switching is implemented, then data transmission is optimized, but system complexity increases
Solution Approach 1:
The AI-based network switching system operates autonomously, automatically monitoring network conditions and making routing decisions without human intervention. This self-service approach optimizes data transmission while managing complexity through automated algorithms that adapt to changing conditions without requiring complex manual configuration.
Solution Approach 2:
The system dynamically changes network parameters such as routing paths, transmission power, and node selection based on real-time conditions. The AI algorithms process multiple parameters simultaneously to optimize data transmission, managing complexity through adaptive parameter adjustment rather than fixed complex configurations.
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.