Dynamic Network Topology Management for Movable Nodes
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Solution Overview
Problem
Existing network topology management systems face challenges in dynamically coordinating the movement and positioning of nodes to efficiently adapt to changing network demands and conditions, such as varying aircraft types and atmospheric conditions in air traffic control, and in optimizing communication links in communication networks.
Innovation Solution
The implementation of potential field methods to model and adjust the positioning of movable nodes and establish or modify communication links based on real-time network demand, using continuous and discrete domain models to ensure optimal network configuration and resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If nodes are repositioned dynamically to meet changing network demand, then network adaptability and service optimization are improved, but system complexity and coordination difficulty increase
Solution Approach 1:
The patent implements dynamic node repositioning where movable nodes continuously adjust their positions based on real-time network demand. The system transitions from static to dynamic topology management, allowing nodes to adapt their locations to optimize network performance while handling changing traffic patterns and service requirements.
Solution Approach 2:
The system employs feedback mechanisms where network demand information is continuously monitored and fed back to the topology management system. This feedback loop enables the system to detect changes in network conditions and trigger appropriate node repositioning actions, creating a closed-loop control system that adapts to varying demands.
2Productivity
If the number of intermediate links is reduced to improve resource utilization, then communication efficiency increases, but network reliability and coverage may deteriorate
Solution Approach 1:
The patent segments the network into different functional zones and uses movable nodes to provide flexible connectivity. By dividing the network topology management into discrete movable and stationary node components, the system can optimize link paths while maintaining reliable coverage through coordinated node positioning.
Solution Approach 2:
Movable nodes act as intermediaries that dynamically establish communication paths between stationary nodes. These intermediary nodes can be positioned to create direct links when needed, reducing the number of intermediate hops for high-priority communications while maintaining network reliability through alternative routing options.
3Use of energy by moving object
If nodes are repositioned to enable direct point-to-point communications, then resource utilization improves, but coordination complexity and control difficulty increase
Solution Approach 1:
The patent implements self-service mechanisms where movable nodes autonomously determine their optimal positions based on local network demand information. Nodes independently adjust their locations to establish direct communications without requiring complex centralized coordination, reducing control overhead while improving resource utilization.
Solution Approach 2:
The system performs preliminary positioning actions where movable nodes proactively move to anticipated optimal locations based on predicted network demand patterns. This preliminary action reduces the need for frequent real-time coordination adjustments, simplifying control while maintaining high resource utilization.
Data Source
AI summary
Methods, systems, and devices are disclosed to facilitate operation of a network. First network state data descriptive of a first network state is received. The first network data includes network demand associated with nodes of a dynamic network, where the nodes of the dynamic network include at least one movable node. The first network data also includes a node state of each node of the dynamic network. At least one first link is automatically established between two or more nodes of the dynamic network to satisfy at least a portion of the network demand. Link data is generated where the link data is descriptive of node utilization, the at least one first link, and assignment of the portion of the network demand to the at least one first link. One or more changes to the dynamic network are modeled based on the link data to identify a second network state, wherein the second network state satisfies a greater quantity of the network demand than the first network state.