Fluid Potential Flow for Adaptive Packet Routing in Dynamic Networks
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Solution Overview
Problem
Existing routing systems in dynamic networks fail to adapt to heterogeneous node types, information packet priorities, and restricted network visibility, lacking the flexibility to adjust routes in real-time based on network conditions.
Innovation Solution
Modeling data packet routes as fluid dynamics potential flow with irrotational velocity fields, where data packets are analogous to flow particles, and nodes are defined as stream functions, allowing for real-time route calculation based on current location and aggregate stream functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If common routing systems are used, then routing functionality is provided, but flexibility to adjust to heterogeneous node types, packet priorities, and restricted visibility is lacking
Solution Approach 1:
The patent replaces traditional mechanical/combinatorial routing algorithms with a fluid dynamics-based continuous field model. Routing decisions emerge from analogizing data packets to fluid particles moving through a potential flow field, where node characteristics and network conditions create velocity fields that naturally guide packet trajectories. This substitution enables continuous adaptation to heterogeneous nodes and priorities without discrete rule complexity.
Solution Approach 2:
The system dynamically changes routing parameters by modeling network conditions as time-varying potential flow fields. Each node type, packet priority level, and visibility constraint modifies the stream function and velocity field parameters. This allows the routing behavior to adapt continuously to changing network conditions while maintaining a unified mathematical framework rather than requiring separate routing logic for each scenario.
2Productivity
If centralized computation is used for route planning, then comprehensive route optimization is achieved, but scalability and computational efficiency are reduced
Solution Approach 1:
The patent segments the centralized routing computation into distributed local computations at each node. Each node calculates its contribution to the overall potential flow field based on local network conditions and packet priorities. The aggregate stream function emerges from summing individual node contributions, enabling distributed computation that scales with network size while maintaining comprehensive route optimization through the collective field model.
Solution Approach 2:
The system merges local node-level computations into a global routing solution through the aggregate stream function. Individual node velocity fields and stream functions are combined to create the overall potential flow field that guides packet routing. This merging approach achieves centralized optimization results through distributed computation, improving scalability while preserving global network awareness.
3Reliability
If high-bandwidth communication is used for centralized routing control, then accurate route information is transmitted, but network overhead and complexity increase
Solution Approach 1:
Each node autonomously determines its routing contribution by calculating its local stream function and velocity field based on observed network conditions and packet characteristics. Nodes self-organize the overall routing field through local computations and minimal information exchange, eliminating the need for high-bandwidth centralized control while maintaining accurate route information through the emergent field model.
Data Source
AI summary
Systems and methods for the automatic routing of data packets in dynamic networks, wherein at least a portion of a route for a data packet is modeled as a fluid dynamics potential flow characterized by an irrotational velocity field. Each data packet is the analogue of a flow particle, an originating node of the data packet is the analogue of a source, and a destination node of the data packet is the analogue of a sink. Each of one or more nodes intermediate to the originating node and the destination node for a data packet are defined as a stream function (Ψ) which adheres to the definition of irrotational and incompressible potential flow that independently represents a flow phenomenon that can influence the route of the data packet. A route for a data packet is calculated based on its current location and the aggregate stream function comprising the sum of each of the flow phenomena acting on the data packet.