Tree Network Node Insertion via Routing Hop Measurement
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Solution Overview
Problem
Existing tree structure network management methods are inefficient in large-scale networks, leading to prolonged node search and positioning times, affecting system extensibility and service performance, as they do not effectively organize nodes for rapid request routing to nearby service nodes.
Innovation Solution
A method that measures routing hops between a new node and existing nodes in a tree structure network to determine the optimal placement, maintaining consistent physical and topology hop relationships by adjusting node positions based on calculated hop relationships, using a dynamic root node and child node relationships to insert the new node as a leaf, child, or parent node.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If nodes are managed in a traditional tree structure without hop-based positioning, then the network structure is simple, but the search and positioning time increases significantly in large-scale networks
Solution Approach 1:
The patent changes the parameter used for node positioning from traditional tree-level hierarchy to hop-based distance measurement. By calculating routing hops between nodes and using hop count as the primary positioning parameter, the system achieves faster node search and positioning in large-scale networks while maintaining manageable complexity through standardized hop-based insertion algorithms.
2Quantity of substance
If the network expands to accommodate more user nodes, then the network coverage and service capacity increase, but the efficiency of directing requests to nearby service nodes decreases
Solution Approach 1:
The patent performs preliminary positioning of new nodes by calculating routing hops to existing service nodes before the node becomes active. This preliminary action of determining optimal service node associations in advance ensures that when the node joins the network, it is immediately connected to the nearest service nodes, maintaining high request routing efficiency even as the network expands to accommodate more nodes.
3Adaptability or versatility
If a dynamic root node approach is used to improve node insertion flexibility, then the adaptability of the network structure increases, but the complexity of maintaining tree consistency increases
Solution Approach 1:
The patent implements a dynamic root node mechanism where the root node can change based on network conditions and insertion requirements. This dynamic approach allows the system to select the most appropriate root node for each insertion operation, improving adaptability and flexibility. The complexity is managed through automated hop-based positioning algorithms that maintain tree consistency without requiring manual intervention.
Data Source
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AI summary
A tree structure network autonomous management and node adding method comprises: firstly measuring routing hops between a node to be added and each node in a tree structure network, and then adding the node to be added to an appropriate position in the tree-shaped network according to a routing hop relationship, so that a physical hop relationship and a topology hop relationship between the nodes remain substantially consistent. A flexible node autonomous management method is provided for a network service with a large scale of nodes participated, and the adding process thereof reflects a physical position relationship between nodes as far as possible, and facilitates the addressing and searching of nodes.