Hierarchical Data Network Transport via Tree Topology Ordering
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Solution Overview
Problem
Existing data transport methods in electronic networks face challenges with address-less nodes, where establishing efficient data pathways and managing power transmission are complex, especially in large, heterogeneous networks with wireless communication, leading to potential interference and security concerns.
Innovation Solution
The implementation of a method that assigns orders to network interfaces and nodes using a tree topology data structure, allowing for the creation and transmission of composite data arrays through pairwise connections, ensuring efficient and secure data transport without explicit addressing, using hardware and software mechanisms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If wireless communication is used to connect sensors and actuators in large spatial distributions, then installation flexibility and ease of operation are improved, but data interference and security risks worsen
Solution Approach 1:
The patent segments the network into hierarchical levels (root nodes, intermediate nodes, leaf nodes) with structured ordering. Each node is assigned a unique position in the hierarchy, allowing data to be transmitted through controlled segments rather than open wireless broadcasts, thus reducing interference and security risks while maintaining installation flexibility
Solution Approach 2:
The patent introduces intermediate nodes that act as mediators in the data transmission path. These nodes receive, process, and forward data through the hierarchical structure, creating controlled pathways that reduce direct wireless exposure and mitigate security risks while preserving the wireless installation advantage
2Device complexity
If address-less data transport is implemented in heterogeneous networks, then device complexity is reduced, but establishing efficient data pathways becomes more difficult
Solution Approach 1:
The patent applies preliminary action by pre-establishing a hierarchical order and positional relationships among nodes before data transmission begins. Each node is assigned a predetermined position in the hierarchy (root, intermediate, or leaf node) with structured ordering, so that efficient data pathways are already configured in advance without requiring complex runtime addressing or pathway establishment
Solution Approach 2:
The patent changes the parameter of node identification from traditional addressing schemes to hierarchical positional parameters. Nodes are identified by their position in the hierarchy rather than by addresses, simplifying device complexity while the hierarchical structure itself provides the efficient pathway routing mechanism
3Productivity
If tree topology with hierarchical ordering is used, then data transport efficiency is improved, but design complexity increases
Solution Approach 1:
The patent applies homogeneity by making all nodes follow the same hierarchical ordering rules and positional assignment principles. Each node, regardless of its position, uses consistent methods for identifying its place in the hierarchy and for transmitting data to the next level, which simplifies the overall design while achieving efficient data transport through the uniform structured approach
Data Source
AI summary
Embodiments of the present disclosure generally relate to the field of electronic data communications, and more specifically to transport methods for hierarchical data networks in relation to providing “address-less data transport” of data packets. An order is introduced or associated with nodes to establish relationships, and the order may be stored in the form of a tree topology in a data structure. The order of nodes is thus known, and logic and/or other data sets, data payloads, etc., may be transmitted across the nodes, wherein the steps to execute the transmission are more efficient due to the properties of the ordered nodes. Each node in the plurality of nodes is comprised of a plurality of network interfaces, which through pairwise joining, forms a data network of a tree topology.